Remove __pycache__ .pyc files accidentally included in the projector commit

audio-surface.el / image-surface.el: own-core additive-synthesis WAV and
raster-PNG renderers (integer-only DSP, since EL has no floats), rendered
from learned engram signatures via a pluggable surface-profile
abstraction (surface-profile.el). audio-demo.el / image-demo.el are
drivers. NOTE: demo files hardcode absolute paths to this worktree's own
directory — will need a path fixup before landing.

elp/projector/ is a Python package the author's own README marks as
"STAGING/PROOF-OF-SHAPE — not the deliverable", superseded by the native
.el surface-profile work above; kept as a validated architecture proof.
Generated output (elp/faculty/{out,sig}, elp/projector/out,
__pycache__) intentionally excluded.

elp/projector/README.md

@@ -0,0 +1,91 @@
+> **STATUS: STAGING / PROOF-OF-SHAPE — not the deliverable.** This Python package
+> proved the architecture end-to-end against the proven realizer faculty (faithful
+> md/docx/midi from real geometry: 0 ungrounded claims, SACRED polarity). Per Will's
+> steer, the DELIVERABLE is NATIVE: the seam lives on the existing EL realizer as
+> **surface-as-profile** — see `../src/surface-profile.el` and
+> `../tests/examples/surface-profile-demo.el` (compiles + runs through elc → C →
+> binary). The concepts below (one geometry-carrying frame; surface = a pluggable
+> profile; plan/realize; deterministic-from-meaning) are exactly what the native
+> module implements. Keep this package as the validated proof; build native.
+
+# Efferent Multimodal Projector
+
+**geometry → any surface, faithfully.** Neuron's own document-generation faculty:
+the efferent twin of the ingest organ. Ingest is afferent (world → geometry);
+this is efferent (geometry → an arbitrary-format document / any modality).
+
+Built against the **proven** realizer faculty (neuron-talk sidecar `:8756`,
+artifact `art-7affa557`). The live soul (`:8742` / `:7770`) is contacted **only**
+through the read-only, GET-only `engram_client` — never mutated.
+
+## The pipeline (surface-agnostic)
+
+```
+geometry region + surface/format spec
+    → PLAN     (manifold → document skeleton/DAG; the geometry IS the outline)   plan.py
+    → REALIZE  (proven realizer, scaled sentence → passage, each section faithful) realize.py
+    → COHERE   (document-level flow / transitions, not stitched sentences)        cohere.py
+    → EMIT     (pluggable SurfaceProjector → the target surface)          projectors/
+```
+
+**The surface is a PARAMETER.** `pipeline.build_ir(...)` builds ONE
+surface-neutral `DocumentIR` (`document_ir.py`); `pipeline.emit(doc, surface)`
+projects it to whichever surface you name. Markdown, docx, and MIDI are the same
+IR emitted three ways.
+
+## The pivot: a geometry-carrying IR
+
+`DocumentIR` is **not** a text tree. Every `Block` carries BOTH:
+- `.sentences` — realized faithful text (what **text** projectors read),
+- `.provenance` — the source geometry: `subj_id / relation / obj / polarity /
+  confidence / importance / salience / node_id` (what **music / image / video**
+  projectors read).
+
+That single decision is what makes the projector multimodal: text renders the
+words; music/image decode the geometry. A claim with no provenance cannot exist
+in the IR — faithfulness is structural.
+
+## The one shared seam
+
+`projectors/base.py` — `SurfaceProjector.project(frame: DocumentIR) -> bytes`
+(+ `surface / media_type / ext / modality / profile`). Register with
+`register()`. Adding a surface changes nothing upstream.
+
+`TwoStageProjector` blesses the peer plan/realize decomposition:
+`spec = plan(frame)`, `bytes = realize(spec)`, `project = realize∘plan`; the
+`profile` is the pluggable per-surface knob (text lang-profile, music
+instr/mode-profile). `projectors/midi.py` is the reference two-stage impl.
+
+## Surfaces
+
+| surface | modality | status | emitter |
+|---|---|---|---|
+| `markdown` | text | landed | own (str) |
+| `docx` | text | landed | own minimal OOXML (stdlib `zipfile`+XML, no lib) |
+| `midi` | audio | landed (symbolic-music proof) | own minimal SMF (stdlib `struct`, no lib) |
+| `audio` (WAV) | audio | peer agent (additive synth) | conforms to `TwoStageProjector` |
+| `image` | image | documented seam | `projectors/seams.py` |
+| `video` | video | documented seam (image×sound×time) | `projectors/seams.py` |
+
+Music maps: relation → scale degree (same relation → same pitch), **polarity →
+major/minor third (SACRED negation is audible)**, confidence → duration,
+importance → velocity, section → register. Deterministic projection from meaning
+— nothing invented.
+
+## Faithfulness
+
+`provenance.py` audits the IR: **zero** ungrounded claims, SACRED polarity
+preserved (negations reported, never dropped), COHERE introduces no new geometry
+(connectives are marked). `trace_table()` emits the geometry → section → claim
+table.
+
+## Run
+
+```bash
+PY=~/Desktop/lang-realizers/venv/bin/python
+PYTHONPATH=~/Desktop/neuron-talk:~/Desktop/lang-realizers $PY generate.py
+# writes ./out/{neuron-self,engram-temporal}.{md,docx,mid} + *.audit.json + *.provenance.md
+```
+
+Requires the proven realizer env (spaCy + the neuron-talk/lang-realizers engine)
+and the read-only engram at `:8742`.

elp/projector/cohere.py

@@ -0,0 +1,79 @@
+"""cohere.py — COHERE stage: document-level flow, not stitched sentences.
+
+Fidelity is REALIZE's job; FLOW is this stage's. The hard part beyond sentence
+fidelity is that a document must read as one thing. We add connective tissue at
+the passage level:
+
+  * an opening abstract that names what the document covers (built ONLY from the
+    section headings that already exist — it introduces no new claim),
+  * a short transition lead into each section after the first, drawn from a
+    fixed set of discourse connectives ("Beyond that,", "Relatedly,", ...) that
+    carry no propositional content,
+  * ordering so the highest-grounded section leads.
+
+CRITICAL: every connective is marked ``kind="connective"`` in its provenance, so
+the faithfulness audit can prove COHERE introduced ZERO new geometry claims. A
+transition is discourse glue, never a fact.
+"""
+from __future__ import annotations
+
+from document_ir import Block, DocumentIR, Provenance
+
+# discourse connectives — pure flow, no propositional content
+_TRANSITIONS = [
+    "Beyond that,", "Relatedly,", "In the same region,", "From there,",
+    "Alongside this,", "Further,", "Turning to the next facet,",
+]
+
+
+def _connective_prov() -> Provenance:
+    return Provenance(subj_id=None, subject=None, relation="", obj=None,
+                      polarity="aff", confidence=1.0, node_id=None,
+                      kind="connective")
+
+
+def _abstract_block(doc: DocumentIR) -> Block:
+    """A grounded opening: names the sections, asserts nothing new."""
+    headings = [s.heading for s in doc.sections]
+    if not headings:
+        return Block(role="lead")
+    if len(headings) == 1:
+        body = f"This document, generated from Neuron's geometry, covers {headings[0]}."
+    else:
+        listed = ", ".join(headings[:-1]) + f", and {headings[-1]}"
+        body = ("This document is projected directly from Neuron's meaning-geometry. "
+                f"It traces {listed}.")
+    b = Block(role="lead")
+    b.sentences.append(body)
+    b.provenance.append(_connective_prov())
+    return b
+
+
+def cohere_document(doc: DocumentIR, *, add_abstract: bool = True,
+                    add_transitions: bool = True) -> DocumentIR:
+    """Order sections by grounding, add abstract + transitions (flow only)."""
+    # order: strongest-grounded section (mean confidence x #claims) first,
+    # but keep an explicitly-first section if the plan pinned one via level 1.
+    def _score(sec):
+        provs = [p for p in sec.all_provenance() if p.kind == "fact"]
+        if not provs:
+            return 0.0
+        mean_conf = sum(p.confidence for p in provs) / len(provs)
+        return mean_conf * len(provs)
+
+    doc.sections.sort(key=_score, reverse=True)
+
+    if add_transitions:
+        for i, sec in enumerate(doc.sections):
+            if i == 0 or not sec.blocks:
+                continue
+            lead = _TRANSITIONS[(i - 1) % len(_TRANSITIONS)]
+            first = sec.blocks[0]
+            if first.sentences:
+                # prepend the connective to the first sentence (flow, no new claim)
+                first.sentences[0] = f"{lead} {first.sentences[0][0].lower()}{first.sentences[0][1:]}"
+
+    if add_abstract:
+        doc.meta["abstract"] = _abstract_block(doc)
+
+    return doc

elp/projector/document_ir.py

@@ -0,0 +1,111 @@
+"""document_ir.py — the surface-neutral, GEOMETRY-CARRYING document intermediate.
+
+This is the pivot of the whole efferent projector. A DocumentIR is NOT a text
+tree. It is a projection of a meaning-geometry region that carries, at every
+leaf, BOTH:
+
+  * the realized surface text  (``Block.sentences``)   — what a TEXT projector reads,
+  * the source geometry        (``Block.provenance``)  — what a MUSIC / IMAGE /
+                                                          VIDEO projector reads.
+
+Because the IR holds the geometry, not just the words, the SAME
+plan -> realize -> cohere pipeline drives every surface. A markdown projector
+renders the sentences; a music projector reads the provenance edges (salience,
+importance, polarity, relation) and maps them onto a symbolic-music surface;
+an image/video projector (documented seam) would read the same geometry.
+
+Nothing in this module invents content. Every :class:`Provenance` points at a
+real engram node id and a real relation. That is the faithfulness contract made
+structural: a claim with no provenance cannot exist in the IR.
+"""
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any
+
+
+# --------------------------------------------------------------------------- #
+#  Provenance — the geometry an emitted claim traces to. FAITHFULNESS is here.
+# --------------------------------------------------------------------------- #
+@dataclass
+class Provenance:
+    """One geometry edge behind one realized claim.
+
+    ``kind`` distinguishes a FACT (a structural edge asserted by the geometry,
+    spoken as fact) from an INTERPRETATION (something attributed, spoken with
+    attribution) — the facts-as-facts + interpretations-attributed discipline
+    (memory 80927e26). ``polarity`` is SACRED: a negated edge stays negated.
+    """
+    subj_id: str | None          # source engram node id of the subject
+    subject: str | None          # normalized subject surface
+    relation: str                # predicate lemma (e.g. "use", "contain", "be")
+    obj: str | None              # normalized object / complement surface
+    polarity: str = "aff"        # "aff" | "neg"  (SACRED — never silently flipped)
+    confidence: float = 0.0      # extraction confidence in [0,1]
+    node_id: str | None = None   # engram node the claim was extracted from
+    kind: str = "fact"           # "fact" | "interpretation"
+    importance: float = 0.0      # source node importance (drives music/emphasis)
+    salience: float = 0.0        # source node salience
+
+    def trace(self) -> str:
+        arrow = "-->" if self.polarity == "aff" else "--NOT-->"
+        return (f"[{(self.node_id or '?')[:8]}] {self.subject!r} {arrow}"
+                f"{self.relation} {self.obj!r} (conf {self.confidence:.2f})")
+
+
+@dataclass
+class Block:
+    """A passage: one or more faithful sentences + the geometry they trace to.
+
+    ``sentences`` and ``provenance`` are index-aligned where possible: sentence
+    ``i`` was realized from ``provenance[i]``. A COHERE transition sentence with
+    no new geometry carries a provenance whose ``kind == "connective"`` so the
+    audit can see it introduced no new claim.
+    """
+    sentences: list[str] = field(default_factory=list)
+    provenance: list[Provenance] = field(default_factory=list)
+    role: str = "body"           # "body" | "lead" | "transition"
+
+    def text(self) -> str:
+        return " ".join(s.rstrip(". ") + "." for s in self.sentences if s.strip())
+
+
+@dataclass
+class Section:
+    heading: str
+    level: int = 2               # markdown heading level / outline depth
+    blocks: list[Block] = field(default_factory=list)
+    seed_ids: list[str] = field(default_factory=list)   # geometry nodes of section
+    summary: str = ""            # one-line grounded gloss (for pptx bullets / TOC)
+
+    def all_provenance(self) -> list[Provenance]:
+        out: list[Provenance] = []
+        for b in self.blocks:
+            out.extend(b.provenance)
+        return out
+
+
+@dataclass
+class DocumentIR:
+    """The surface-neutral document. Built ONCE, projected to ANY surface."""
+    title: str
+    subtitle: str = ""
+    sections: list[Section] = field(default_factory=list)
+    seed_id: str | None = None            # the geometry region root
+    format_spec: dict[str, Any] = field(default_factory=dict)  # requested shape
+    meta: dict[str, Any] = field(default_factory=dict)
+
+    # -- geometry facets (what non-text projectors consume) ----------------- #
+    def all_provenance(self) -> list[Provenance]:
+        out: list[Provenance] = []
+        for s in self.sections:
+            out.extend(s.all_provenance())
+        return out
+
+    def claim_count(self) -> int:
+        return sum(1 for p in self.all_provenance() if p.kind in ("fact", "interpretation"))
+
+    def ungrounded_count(self) -> int:
+        """Claims with no traceable node — MUST be zero for a faithful doc."""
+        return sum(1 for p in self.all_provenance()
+                   if p.kind in ("fact", "interpretation") and not p.node_id)

elp/projector/generate.py

@@ -0,0 +1,81 @@
+"""generate.py — drive the projector: one geometry region -> many surfaces.
+
+Proves the thesis with REAL output: builds ONE surface-neutral DocumentIR from
+Neuron's OWN self-geometry (read-only against the live soul via the proven
+faculty), then EMITS it to Markdown, docx, and MIDI — the same plan/realize/
+cohere, three surfaces. Writes the files + the faithfulness audit to ./out/.
+"""
+from __future__ import annotations
+
+import json
+import os
+import sys
+
+_HERE = os.path.dirname(os.path.abspath(__file__))
+sys.path.insert(0, _HERE)
+
+import pipeline  # noqa: E402
+import provenance  # noqa: E402
+from geometry import load_self_region  # noqa: E402
+
+OUT = os.path.join(_HERE, "out")
+
+
+def _emit_all(doc, stem):
+    """Emit one IR to every text/audio surface + audit + provenance."""
+    for surface in ("markdown", "docx", "midi"):
+        data = pipeline.emit(doc, surface)
+        proj = pipeline.get_projector(surface)
+        path = os.path.join(OUT, f"{stem}.{proj.ext}")
+        with open(path, "wb") as f:
+            f.write(data)
+        print(f"  emitted {surface:9s} -> {os.path.basename(path)} ({len(data)} bytes)")
+    a = provenance.audit(doc)
+    with open(os.path.join(OUT, f"{stem}.audit.json"), "w") as f:
+        json.dump(a, f, indent=2)
+    with open(os.path.join(OUT, f"{stem}.provenance.md"), "w") as f:
+        f.write(provenance.trace_table(doc))
+    print("  audit:", {k: a[k] for k in ("claims", "ungrounded_claims",
+          "negations_preserved", "distinct_source_nodes", "faithful")})
+    return a
+
+
+def main():
+    os.makedirs(OUT, exist_ok=True)
+    print("surfaces registered:", pipeline.available_surfaces())
+
+    # ---- Document 1: Neuron's self-description (marquee) ------------------- #
+    print("\n[1] Neuron self-description")
+    region = load_self_region(max_nodes=9)
+    print("   self region:", region)
+    doc1 = pipeline.build_ir(
+        None, region=region,
+        title="Neuron: A Self-Description from Its Own Geometry",
+        subtitle="Projected efferently from the engram — every claim traces a node.",
+        format_spec={"genre": "self-description", "register": "expository"},
+        max_sections=5, conf_floor=0.6)
+    print(f"   IR: {len(doc1.sections)} sections, {doc1.claim_count()} claims, "
+          f"ungrounded={doc1.ungrounded_count()}")
+    _emit_all(doc1, "neuron-self")
+
+    # ---- Document 2: a coherent, clean whitepaper-style section ------------ #
+    print("\n[2] Whitepaper-style section (coherent clean region)")
+    doc2, _ = pipeline.project(
+        ["chronoception", "time", "awareness", "engram", "temporal"],
+        surface="markdown",
+        title="Temporal Awareness in the Engram",
+        subtitle="A section projected from the geometry of chronoception.",
+        format_spec={"genre": "whitepaper-section", "register": "technical"},
+        max_sections=4)
+    print(f"   IR: {len(doc2.sections)} sections, {doc2.claim_count()} claims, "
+          f"ungrounded={doc2.ungrounded_count()}")
+    _emit_all(doc2, "engram-temporal")
+
+    # echo both markdowns so they are visible in the run log
+    for stem, doc in (("neuron-self", doc1), ("engram-temporal", doc2)):
+        print(f"\n===== GENERATED MARKDOWN — {stem} =====\n")
+        print(pipeline.emit(doc, "markdown").decode())
+
+
+if __name__ == "__main__":
+    main()

elp/projector/geometry.py

@@ -0,0 +1,129 @@
+"""geometry.py — READ-ONLY loader for a meaning-geometry region.
+
+The efferent projector never writes to the soul. This module reaches the
+geometry through the PROVEN, read-only neuron-talk faculty (``engram_client``,
+GET-only, which physically refuses non-GET methods) against the running sidecar
+soul. The live daemon :8742 / :7770 is contacted ONLY through that read-only
+client — never mutated.
+
+A "region" is a seed node plus a bounded neighborhood: the manifold that will
+become the document's skeleton. We pool a few single-term lexical searches
+(the engram search is a single-term matcher) and, when available, walk one hop
+of reified neighbors, then rank by self/importance signal.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+# Wire in the proven faculty (own-the-core: we reuse it, we do not fork it).
+_NT = os.path.expanduser("~/Desktop/neuron-talk")
+_LR = os.path.expanduser("~/Desktop/lang-realizers")
+for _p in (_NT, _LR):
+    if _p not in sys.path:
+        sys.path.insert(0, _p)
+
+from engram_client import ReadOnlyEngramClient  # noqa: E402
+
+
+class Region:
+    """A geometry region: ranked nodes + the reified edges among them."""
+
+    def __init__(self, seed: str, nodes: list[dict], edges: list[dict]):
+        self.seed = seed
+        self.nodes = nodes                 # ranked engram node dicts
+        self.edges = edges                 # [{src, dst, edge, ...}]
+        self.by_id = {n["id"]: n for n in nodes if n.get("id")}
+
+    def __repr__(self):
+        return f"<Region seed={self.seed!r} nodes={len(self.nodes)} edges={len(self.edges)}>"
+
+
+def _prose_quality(content: str) -> float:
+    """Reward clean expository prose; penalize shouty banner-dense nodes.
+
+    A high ALLCAPS-word ratio or very short content signals a banner/telegraphic
+    memory node that extracts into garbage. Clean declarative prose scores high.
+    """
+    if not content or not content.strip():
+        return 0.0
+    words = content.split()
+    if len(words) < 8:
+        return 0.1
+    caps = sum(1 for w in words if len(w) > 2 and w.strip(".,:;'\"-").isupper())
+    caps_ratio = caps / max(1, len(words))
+    # sentences with lowercase interior words read as prose
+    lower = sum(1 for w in words if w[:1].islower())
+    lower_ratio = lower / max(1, len(words))
+    return max(0.0, 1.2 * lower_ratio - 2.0 * caps_ratio)
+
+
+def _relevance(content: str, terms: list[str]) -> float:
+    """Topical relevance to the seed terms — keeps a region ON-THEME so a clean
+    but off-topic node cannot hijack the document."""
+    if not terms:
+        return 0.0
+    low = (content or "").lower()
+    hits = sum(1 for t in terms if t.lower() in low)
+    return hits / max(1, len(terms))
+
+
+def _node_rank(n: dict, terms: list[str] | None = None) -> float:
+    return (float(n.get("importance") or 0.0) * 2.0
+            + float(n.get("salience") or 0.0)
+            + 1.5 * _prose_quality(n.get("content") or "")
+            + 2.0 * _relevance(n.get("content") or "", terms or [])
+            + (0.5 if (n.get("content") or "").strip() else 0.0))
+
+
+def load_region(seed_terms: list[str] | str, *, client: ReadOnlyEngramClient | None = None,
+                max_nodes: int = 10, per_term: int = 20, hop: bool = True) -> Region:
+    """Pull a bounded geometry region around ``seed_terms`` (read-only).
+
+    ``seed_terms`` may be a single string or several probe terms; results are
+    pooled and de-duplicated. When ``hop`` and the reified neighbor endpoint is
+    live, one hop of neighbors is folded in so the region is a real
+    neighborhood, not just a keyword hit list.
+    """
+    client = client or ReadOnlyEngramClient()
+    if isinstance(seed_terms, str):
+        seed_terms = [seed_terms]
+
+    pool: dict[str, dict] = {}
+    for term in seed_terms:
+        for n in client.search(term, limit=per_term):
+            if isinstance(n, dict) and n.get("id"):
+                pool.setdefault(n["id"], n)
+
+    ranked = sorted(pool.values(), key=lambda n: _node_rank(n, seed_terms),
+                    reverse=True)
+    nodes = ranked[:max_nodes]
+
+    edges: list[dict] = []
+    if hop and nodes:
+        present = {n["id"] for n in nodes}
+        for n in list(nodes):
+            try:
+                for nb in client.neighbors(n["id"]):
+                    node = nb.get("node") if isinstance(nb, dict) else None
+                    edge = nb.get("edge") if isinstance(nb, dict) else None
+                    if node and node.get("id"):
+                        edges.append({"src": n["id"], "dst": node["id"],
+                                      "edge": edge})
+                        # fold a strong neighbor into the region (bounded)
+                        if (node["id"] not in present and len(nodes) < max_nodes + 6
+                                and _node_rank(node, seed_terms) > 0.4):
+                            present.add(node["id"])
+                            nodes.append(node)
+            except Exception:  # noqa: BLE001 — read-only best-effort; never fatal
+                continue
+
+    return Region(seed=", ".join(seed_terms), nodes=nodes, edges=edges)
+
+
+def load_self_region(client: ReadOnlyEngramClient | None = None,
+                     max_nodes: int = 10) -> Region:
+    """The self/identity region — Neuron's own geometry, for self-description."""
+    return load_region(["self", "identity", "Neuron", "values", "memory",
+                        "imprint", "consciousness"],
+                       client=client, max_nodes=max_nodes)

elp/projector/pipeline.py

@@ -0,0 +1,67 @@
+"""pipeline.py — the Efferent Multimodal Projector, top level.
+
+    geometry region + surface/format spec
+        -> PLAN     (manifold -> document skeleton/DAG)
+        -> REALIZE  (proven realizer, sentence -> passage, each section faithful)
+        -> COHERE   (document-level flow / transitions, not stitched sentences)
+        -> EMIT     (pluggable SurfaceProjector -> the target surface)
+
+THE SURFACE IS A PARAMETER. ``project(...)`` builds the geometry-carrying
+DocumentIR once, then hands it to whichever surface projector the caller named.
+Markdown, docx, and midi (music) are all the SAME IR emitted differently. That
+is the efferent multimodal projector: geometry -> any surface.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+_HERE = os.path.dirname(os.path.abspath(__file__))
+sys.path.insert(0, _HERE)
+sys.path.insert(0, os.path.join(_HERE, "projectors"))
+
+from cohere import cohere_document  # noqa: E402
+from document_ir import DocumentIR  # noqa: E402
+from geometry import Region, load_region  # noqa: E402
+from plan import plan_document  # noqa: E402
+from realize import realize_document  # noqa: E402
+
+# registering the projectors (import for side-effect: each self-registers)
+import projectors.markdown  # noqa: E402,F401
+import projectors.docx  # noqa: E402,F401
+import projectors.midi  # noqa: E402,F401
+import projectors.seams  # noqa: E402,F401
+from projectors.base import available_surfaces, get_projector  # noqa: E402
+
+
+def build_ir(seed_terms, *, title: str, subtitle: str = "",
+             format_spec: dict | None = None,
+             region: Region | None = None,
+             max_sections: int = 8, conf_floor: float = 0.55) -> DocumentIR:
+    """geometry -> PLAN -> REALIZE -> COHERE = the surface-neutral DocumentIR."""
+    region = region or load_region(seed_terms)
+    doc = plan_document(region, title=title, subtitle=subtitle,
+                        format_spec=format_spec or {},
+                        conf_floor=conf_floor, max_sections=max_sections)
+    doc = realize_document(doc)
+    doc = cohere_document(doc)
+    return doc
+
+
+def emit(doc: DocumentIR, surface: str) -> bytes:
+    """EMIT: project the built IR onto one surface (surface = a parameter)."""
+    return get_projector(surface).project(doc)
+
+
+def project(seed_terms, *, surface: str, title: str, subtitle: str = "",
+            format_spec: dict | None = None, region: Region | None = None,
+            max_sections: int = 8) -> tuple[DocumentIR, bytes]:
+    """The full efferent projection: geometry + surface -> (IR, bytes)."""
+    doc = build_ir(seed_terms, title=title, subtitle=subtitle,
+                   format_spec=format_spec, region=region,
+                   max_sections=max_sections)
+    return doc, emit(doc, surface)
+
+
+__all__ = ["build_ir", "emit", "project", "available_surfaces",
+           "get_projector", "load_region", "DocumentIR"]

elp/projector/plan.py

@@ -0,0 +1,192 @@
+"""plan.py — PLAN stage: geometry region -> document skeleton (a DAG/outline).
+
+The manifold becomes the skeleton. We extract faithful propositions from the
+region's nodes (the proven neuron-talk extractor, SACRED polarity preserved),
+apply a quality floor, then GROUP them into sections. Grouping is by source
+node — each engram node is one coherent topic, so one salient node becomes one
+section. The section ORDER is the node ranking (importance/salience): the
+geometry decides the outline, not a template.
+
+Output: a DocumentIR whose sections carry seed node ids and empty blocks. REALIZE
+fills the blocks; the plan owns the structure.
+"""
+from __future__ import annotations
+
+import os
+import re
+import sys
+
+_NT = os.path.expanduser("~/Desktop/neuron-talk")
+_LR = os.path.expanduser("~/Desktop/lang-realizers")
+for _p in (_NT, _LR):
+    if _p not in sys.path:
+        sys.path.insert(0, _p)
+
+import propositions  # noqa: E402  (the proven, faithful extractor)
+
+from document_ir import DocumentIR, Section  # noqa: E402
+from geometry import Region  # noqa: E402
+
+
+# --------------------------------------------------------------------------- #
+#  Proposition quality — keep only clean, well-grounded claims.
+# --------------------------------------------------------------------------- #
+_JUNK_RE = re.compile(r"[.][a-z]{1,3}\b|[^A-Za-z0-9 '\-]")  # ".o", stray symbols
+
+
+def _has_banner_token(s: str) -> bool:
+    """True if any word is an ALLCAPS banner token (DHARMA, ENGRAM, MEASURED)."""
+    for w in (s or "").split():
+        core = w.strip(".,:;'\"-")
+        if len(core) > 2 and core.isupper():
+            return True
+    return False
+
+
+def _clean_prop(p, floor: float) -> bool:
+    if p.confidence < floor:
+        return False
+    if not p.subject or not (p.object or (p.obj_np is not None)):
+        return False
+    subj = (p.subject or "").strip()
+    obj = (p.object or "").strip()
+    if len(subj) < 2:
+        return False
+    # banner-derived shouty fragments read as garbage in prose
+    if _has_banner_token(subj) or _has_banner_token(obj):
+        return False
+    if propositions._is_shouty(p.sentence or ""):
+        return False
+    # junk tokens: file-extension fragments (".o"), stray non-word symbols
+    if _JUNK_RE.search(subj) or _JUNK_RE.search(obj):
+        return False
+    # a proposition whose object repeats the subject is usually a parse artifact
+    if obj and subj.lower() == obj.lower():
+        return False
+    # a bare copula with no real complement ("X is it") reads as noise
+    if p.predicate == "be" and obj.lower() in ("it", "no", "nothing", "empty", ""):
+        return False
+    return True
+
+
+def _dedup(props):
+    """Drop duplicate claims. Two axes: (a) identical (pred,obj,polarity), and
+    (b) same (subject,predicate) — which collapses a mis-split compound like
+    "detection is post-hoc eval" -> "Detection is post/hoc/eval" into one claim
+    (keep the highest-confidence surface)."""
+    props = sorted(props, key=lambda p: p.confidence, reverse=True)
+    seen_po, seen_sp, out = set(), set(), []
+    for p in props:
+        subj = (p.subject or "").lower()
+        po = (p.predicate, (p.object or "").lower(), p.polarity)
+        sp = (subj, p.predicate, p.polarity)
+        if po in seen_po or sp in seen_sp:
+            continue
+        seen_po.add(po)
+        seen_sp.add(sp)
+        out.append(p)
+    return out
+
+
+# --------------------------------------------------------------------------- #
+#  Heading derivation — a clean human heading from a node.
+# --------------------------------------------------------------------------- #
+_HEADING_RE = re.compile(r"^\s*#{1,4}\s+(.{2,70})\s*$", re.M)
+# node-type / system labels that are NOT topical headings
+_NONTOPIC_LABEL = re.compile(r"^(memory|node|knowledge|doc|session)[:/]", re.I)
+
+
+def _titlecase_banner(s: str) -> str:
+    """A shouty banner ("CHRONOCEPTION — SCALE-INVARIANCE") makes a fine title
+    once Title-cased. Keep short acronyms uppercase."""
+    def fix(w):
+        core = w.strip("—-:,.")
+        if len(core) <= 3 and core.isupper():
+            return w  # acronym
+        return w.capitalize()
+    return " ".join(fix(w) for w in s.split())
+
+
+def _clean_heading(text: str) -> str | None:
+    """First line only, no markdown, capped, banner Title-cased. None if unusable."""
+    if not text:
+        return None
+    line = text.strip().splitlines()[0]
+    line = re.sub(r"^#+\s*", "", line).strip().strip("#").strip()
+    # cut at a natural break so a long banner heading stays a heading, not a para
+    for sep in (" — ", " – ", ": ", ". "):
+        if sep in line and len(line) > 48:
+            line = line.split(sep)[0].strip()
+            break
+    if not (3 <= len(line) <= 64):
+        return None
+    if propositions._is_shouty(line):
+        line = _titlecase_banner(line)
+    return line or None
+
+
+def _heading_for(node: dict, fallback: str) -> str:
+    label = (node.get("label") or "").strip()
+    content = node.get("content") or ""
+    candidates: list[str] = []
+    # a node-type label ("memory:remembered") is never a topic — skip it
+    if label and not _NONTOPIC_LABEL.match(label):
+        candidates.append(label)
+    m = _HEADING_RE.search(content)
+    if m:
+        candidates.append(m.group(1))
+    # the leading banner/first sentence of the content is often the real title
+    first = re.split(r"(?<=[.\n])", content.strip(), maxsplit=1)[0] if content.strip() else ""
+    candidates.append(first)
+    for c in candidates:
+        h = _clean_heading(c)
+        if h:
+            return h
+    return fallback
+
+
+def plan_document(region: Region, *, title: str, subtitle: str = "",
+                  format_spec: dict | None = None,
+                  conf_floor: float = 0.55,
+                  max_sections: int = 8,
+                  max_claims_per_section: int = 6) -> DocumentIR:
+    """Region -> DocumentIR skeleton. The geometry dictates the outline."""
+    format_spec = format_spec or {}
+    doc = DocumentIR(title=title, subtitle=subtitle,
+                     seed_id=region.nodes[0]["id"] if region.nodes else None,
+                     format_spec=format_spec)
+
+    made = 0
+    seen_headings: set[str] = set()
+    for node in region.nodes:
+        if made >= max_sections:
+            break
+        props = propositions.extract(node.get("content") or "",
+                                     node_id=node.get("id"),
+                                     node_importance=float(node.get("importance") or 0.0),
+                                     max_sentences=10)
+        props = [p for p in props if _clean_prop(p, conf_floor)]
+        props = _dedup(props)
+        props.sort(key=lambda p: p.confidence, reverse=True)
+        props = props[:max_claims_per_section]
+        if not props:
+            continue
+        heading = _heading_for(node, fallback=f"Region {made + 1}")
+        # cross-section dedup: a topic appears once. Distinguish by top claim
+        # subject, else drop the collision so the outline stays clean.
+        if heading.lower() in seen_headings:
+            subj = (props[0].subject or "").strip().title()
+            alt = f"{heading}: {subj}" if subj and subj.lower() not in heading.lower() else None
+            if alt and alt.lower() not in seen_headings and len(alt) <= 64:
+                heading = alt
+            else:
+                continue
+        seen_headings.add(heading.lower())
+        sec = Section(heading=heading, level=2, seed_ids=[node["id"]])
+        # stash the planned propositions on the section for REALIZE
+        sec.__dict__["_planned_props"] = props
+        sec.__dict__["_node"] = node
+        doc.sections.append(sec)
+        made += 1
+
+    return doc

elp/projector/projectors/base.py

@@ -0,0 +1,106 @@
+"""base.py — the SurfaceProjector interface + registry.
+
+THE key abstraction of the efferent projector: a projector is a pure function
+from the surface-neutral, geometry-carrying DocumentIR to bytes on a target
+SURFACE. The surface is a PARAMETER. Adding a surface = registering one more
+projector; nothing upstream (plan/realize/cohere) changes.
+
+    DocumentIR  --project-->  bytes            (per surface)
+
+A TEXT projector reads ``block.sentences``. A NON-TEXT projector (music, image,
+video) reads ``block.provenance`` — the geometry the IR carries — and decodes it
+onto its surface. Both consume the SAME IR. That symmetry is the whole design:
+the realizer generalizes into a multimodal projector, geometry -> any surface.
+"""
+from __future__ import annotations
+
+from typing import Protocol, runtime_checkable
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from document_ir import DocumentIR  # noqa: E402
+
+
+@runtime_checkable
+class SurfaceProjector(Protocol):
+    """Geometry-document -> one surface. Implementations MUST be pure & faithful.
+
+    THE ONE SHARED SEAM. Every surface — text, music, image, video — conforms to
+    this single contract:
+
+        project(frame: DocumentIR) -> bytes
+
+    where ``frame`` is the geometry-carrying meaning-geometry (the SemFrame at
+    document scale; a single utterance is the degenerate one-section frame).
+
+    RECOMMENDED INTERNAL SHAPE (the peer music/text decomposition, blessed here
+    so all surfaces share it): a projector may split ``project`` into
+
+        spec    = self.plan(frame)      # meaning-geometry -> surface-specific spec
+        bytes   = self.realize(spec)    # spec -> surface, via this projector's PROFILE
+
+    ``project`` is then ``realize(plan(frame))``. The PROFILE (a text lang-profile,
+    a music instr/mode-profile, an image layout-profile) is a property of the
+    projector instance — the pluggable knob. See :class:`TwoStageProjector`.
+
+    A TEXT projector's plan reads ``frame`` sentences; a MUSIC/IMAGE projector's
+    plan reads ``frame.all_provenance()`` — the geometry — and derives its spec
+    (pitch/harmony/rhythm, or layout) FROM the meaning, deterministically. Same
+    frame, different profile.
+    """
+
+    surface: str          # "markdown" | "docx" | "midi" | "audio" | "image" | "video"
+    media_type: str       # MIME type of the emitted bytes
+    ext: str              # file extension (no dot)
+    modality: str         # "text" | "audio" | "image" | "video"
+    profile: object       # the pluggable per-surface profile (may be None)
+
+    def project(self, doc: DocumentIR) -> bytes:
+        """Emit the document on this surface. Returns raw bytes."""
+        ...
+
+
+class TwoStageProjector:
+    """Optional base for the peer plan()/realize() decomposition.
+
+    Subclasses implement ``plan(frame) -> spec`` and ``realize(spec) -> bytes``;
+    ``project`` is their composition. This is exactly the peer music interface
+    (spec = plan(frame, profile); surface = realize(spec, profile)) expressed so
+    that it still satisfies the single ``SurfaceProjector.project`` seam. Text,
+    music, and image projectors can all subclass this and remain interchangeable.
+    """
+
+    surface: str = ""
+    media_type: str = ""
+    ext: str = ""
+    modality: str = ""
+    profile: object = None
+
+    def plan(self, doc: DocumentIR):  # -> spec
+        raise NotImplementedError
+
+    def realize(self, spec) -> bytes:
+        raise NotImplementedError
+
+    def project(self, doc: DocumentIR) -> bytes:
+        return self.realize(self.plan(doc))
+
+
+_REGISTRY: dict[str, SurfaceProjector] = {}
+
+
+def register(projector: SurfaceProjector) -> SurfaceProjector:
+    _REGISTRY[projector.surface] = projector
+    return projector
+
+
+def get_projector(surface: str) -> SurfaceProjector:
+    if surface not in _REGISTRY:
+        raise KeyError(f"no projector registered for surface {surface!r}; "
+                       f"have {sorted(_REGISTRY)}")
+    return _REGISTRY[surface]
+
+
+def available_surfaces() -> list[str]:
+    return sorted(_REGISTRY)

elp/projector/projectors/docx.py

@@ -0,0 +1,113 @@
+"""docx.py — the .docx surface projector: an OWN minimal OOXML emitter.
+
+Own-the-core: a .docx is just a ZIP of a few XML parts (WordprocessingML). We
+emit it with the standard library only — ``zipfile`` + string XML — no
+python-docx, no external dependency. This proves a "richer structured format"
+surface without importing anyone else's toolkit.
+
+Parts emitted (the minimal valid set + a styles part for real headings):
+    [Content_Types].xml
+    _rels/.rels
+    word/_rels/document.xml.rels
+    word/styles.xml          (Title / Heading1 / Heading2 / Normal)
+    word/document.xml        (the content)
+
+Like the markdown projector it reads only the IR's realized sentences; it
+invents nothing. The surface differs, the faithful content does not.
+"""
+from __future__ import annotations
+
+import io
+import os
+import sys
+import zipfile
+from xml.sax.saxutils import escape
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from document_ir import DocumentIR  # noqa: E402
+from projectors.base import register  # noqa: E402
+
+_CONTENT_TYPES = """<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<Types xmlns="http://schemas.openxmlformats.org/package/2006/content-types">
+  <Default Extension="rels" ContentType="application/vnd.openxmlformats-package.relationships+xml"/>
+  <Default Extension="xml" ContentType="application/xml"/>
+  <Override PartName="/word/document.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.document.main+xml"/>
+  <Override PartName="/word/styles.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.styles+xml"/>
+</Types>"""
+
+_RELS = """<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships">
+  <Relationship Id="rId1" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/officeDocument" Target="word/document.xml"/>
+</Relationships>"""
+
+_DOC_RELS = """<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships">
+  <Relationship Id="rId1" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/styles" Target="styles.xml"/>
+</Relationships>"""
+
+_W = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
+
+_STYLES = f"""<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<w:styles xmlns:w="{_W}">
+  <w:style w:type="paragraph" w:default="1" w:styleId="Normal"><w:name w:val="Normal"/>
+    <w:rPr><w:sz w:val="22"/></w:rPr></w:style>
+  <w:style w:type="paragraph" w:styleId="Title"><w:name w:val="Title"/>
+    <w:pPr><w:spacing w:after="240"/></w:pPr>
+    <w:rPr><w:b/><w:sz w:val="52"/></w:rPr></w:style>
+  <w:style w:type="paragraph" w:styleId="Subtitle"><w:name w:val="Subtitle"/>
+    <w:rPr><w:i/><w:sz w:val="28"/><w:color w:val="555555"/></w:rPr></w:style>
+  <w:style w:type="paragraph" w:styleId="Heading1"><w:name w:val="heading 1"/>
+    <w:pPr><w:spacing w:before="240" w:after="120"/><w:outlineLvl w:val="0"/></w:pPr>
+    <w:rPr><w:b/><w:sz w:val="34"/></w:rPr></w:style>
+  <w:style w:type="paragraph" w:styleId="Heading2"><w:name w:val="heading 2"/>
+    <w:pPr><w:spacing w:before="200" w:after="100"/><w:outlineLvl w:val="1"/></w:pPr>
+    <w:rPr><w:b/><w:sz w:val="28"/></w:rPr></w:style>
+</w:styles>"""
+
+
+def _para(text: str, style: str | None = None) -> str:
+    ppr = f"<w:pPr><w:pStyle w:val=\"{style}\"/></w:pPr>" if style else ""
+    return (f"<w:p>{ppr}<w:r><w:t xml:space=\"preserve\">"
+            f"{escape(text)}</w:t></w:r></w:p>")
+
+
+class DocxProjector:
+    surface = "docx"
+    media_type = ("application/vnd.openxmlformats-officedocument."
+                  "wordprocessingml.document")
+    ext = "docx"
+    modality = "text"
+
+    def _document_xml(self, doc: DocumentIR) -> str:
+        body: list[str] = [_para(doc.title, "Title")]
+        if doc.subtitle:
+            body.append(_para(doc.subtitle, "Subtitle"))
+        abstract = doc.meta.get("abstract")
+        if abstract is not None and abstract.sentences:
+            body.append(_para(abstract.text()))
+        for sec in doc.sections:
+            style = "Heading1" if sec.level <= 1 else "Heading2"
+            body.append(_para(sec.heading, style))
+            for block in sec.blocks:
+                t = block.text()
+                if t:
+                    body.append(_para(t))
+        return (f"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"yes\"?>"
+                f"<w:document xmlns:w=\"{_W}\"><w:body>"
+                + "".join(body)
+                + "<w:sectPr><w:pgSz w:w=\"12240\" w:h=\"15840\"/>"
+                  "<w:pgMar w:top=\"1440\" w:right=\"1440\" w:bottom=\"1440\" "
+                  "w:left=\"1440\"/></w:sectPr></w:body></w:document>")
+
+    def project(self, doc: DocumentIR) -> bytes:
+        buf = io.BytesIO()
+        with zipfile.ZipFile(buf, "w", zipfile.ZIP_DEFLATED) as z:
+            z.writestr("[Content_Types].xml", _CONTENT_TYPES)
+            z.writestr("_rels/.rels", _RELS)
+            z.writestr("word/_rels/document.xml.rels", _DOC_RELS)
+            z.writestr("word/styles.xml", _STYLES)
+            z.writestr("word/document.xml", self._document_xml(doc))
+        return buf.getvalue()
+
+
+register(DocxProjector())

elp/projector/projectors/markdown.py

@@ -0,0 +1,45 @@
+"""markdown.py — the Markdown surface projector (text facet).
+
+The most tractable surface, and the reference implementation: reads the IR's
+realized sentences and lays them out as Markdown. Introduces no content — it is
+pure typography over the faithful text the realizer produced.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from document_ir import DocumentIR  # noqa: E402
+from projectors.base import register  # noqa: E402
+
+
+class MarkdownProjector:
+    surface = "markdown"
+    media_type = "text/markdown"
+    ext = "md"
+    modality = "text"
+
+    def render_str(self, doc: DocumentIR) -> str:
+        lines: list[str] = [f"# {doc.title}"]
+        if doc.subtitle:
+            lines.append(f"\n*{doc.subtitle}*")
+        abstract = doc.meta.get("abstract")
+        if abstract is not None and abstract.sentences:
+            lines.append("")
+            lines.append(abstract.text())
+        for sec in doc.sections:
+            lines.append("")
+            lines.append(f"{'#' * max(2, sec.level)} {sec.heading}")
+            for block in sec.blocks:
+                body = block.text()
+                if body:
+                    lines.append("")
+                    lines.append(body)
+        return "\n".join(lines) + "\n"
+
+    def project(self, doc: DocumentIR) -> bytes:
+        return self.render_str(doc).encode("utf-8")
+
+
+register(MarkdownProjector())

elp/projector/projectors/midi.py

@@ -0,0 +1,133 @@
+"""midi.py — the MUSIC surface projector: geometry -> symbolic music (MIDI).
+
+The first NON-TEXT surface, and the proof of the general shape. "Music is
+language and it is math" (Will): symbolic music is tractable and geometry-native,
+so it is the natural efferent twin to try first after text.
+
+CRUCIALLY this projector does NOT read the realized sentences. It reads the IR's
+GEOMETRY facet — ``block.provenance`` — and DECODES each edge onto a musical
+surface. That is the whole thesis of the multimodal projector: the same
+geometry-carrying IR drives text AND music; a text projector reads the words, a
+music projector reads the meaning-geometry. The mapping is deterministic and
+faithful to the geometry's structure:
+
+    relation lemma  -> scale degree      (same relation -> same pitch class;
+                                          meaning has a consistent sonic form)
+    polarity        -> mode              (aff = major third above; neg = minor
+                                          third / lowered — SACRED polarity is
+                                          audible, a negated edge sounds negated)
+    confidence      -> note duration     (stronger grounding rings longer)
+    importance      -> velocity          (more important source = louder)
+    section         -> phrase + register shift (structure becomes musical form)
+
+Own-the-core: a Standard MIDI File is a header chunk + a track chunk of
+delta-timed events. We emit the raw bytes with ``struct`` — no external MIDI
+library. Format 0, one track.
+"""
+from __future__ import annotations
+
+import io
+import os
+import struct
+import sys
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from document_ir import DocumentIR, Provenance  # noqa: E402
+from projectors.base import TwoStageProjector, register  # noqa: E402
+
+_TICKS = 480                      # ticks per quarter note
+_C_MAJOR = [0, 2, 4, 5, 7, 9, 11]  # semitone offsets of a diatonic scale
+
+
+def _vlq(n: int) -> bytes:
+    """MIDI variable-length quantity encoding of a delta time."""
+    if n == 0:
+        return b"\x00"
+    out = bytearray()
+    out.append(n & 0x7F)
+    n >>= 7
+    while n:
+        out.insert(0, (n & 0x7F) | 0x80)
+        n >>= 7
+    return bytes(out)
+
+
+def _degree_for(relation: str) -> int:
+    """Stable scale degree for a relation lemma (same relation -> same pitch)."""
+    if not relation:
+        return 0
+    return sum(ord(c) for c in relation.lower()) % len(_C_MAJOR)
+
+
+def _note_for(p: Provenance, base: int) -> tuple[int, int, int]:
+    """(pitch, velocity, duration_ticks) for one geometry edge."""
+    root = base + _C_MAJOR[_degree_for(p.relation)]
+    # polarity -> mode: affirmed edges take the bright major third, negated edges
+    # take the darker minor third. The negation is AUDIBLE and never dropped.
+    third = 4 if p.polarity == "aff" else 3
+    pitch = max(24, min(96, root + (third if p.confidence >= 0.5 else 0)))
+    velocity = int(56 + 60 * min(1.0, max(0.0, p.importance)))
+    velocity = max(40, min(120, velocity))
+    # confidence -> duration: quarter .. dotted-half
+    dur = int(_TICKS * (0.5 + 1.5 * min(1.0, max(0.0, p.confidence))))
+    return pitch, velocity, dur
+
+
+# a mode-profile: the pluggable musical knob (the peer's mode_profile). Scale +
+# tempo. Swapping this profile re-voices the SAME geometry — surface as parameter.
+_DEFAULT_PROFILE = {"scale": _C_MAJOR, "tempo_us": 500000,
+                    "registers": [60, 55, 64, 50, 67, 48], "program": 0}
+
+
+class MidiProjector(TwoStageProjector):
+    """geometry -> symbolic music, in the shared two-stage shape.
+
+    ``plan(frame)``  -> a music_spec: an ordered list of note dicts derived
+                        deterministically from the frame's provenance geometry
+                        (the peer's ``plan(frame, profile) -> spec``).
+    ``realize(spec)`` -> Standard MIDI File bytes (the peer's
+                        ``realize(spec, profile) -> surface``; here the surface
+                        is symbolic MIDI, the minimal audio proof — a richer
+                        additive-synth audio projector conforms identically).
+    """
+
+    surface = "midi"
+    media_type = "audio/midi"
+    ext = "mid"
+    modality = "audio"
+
+    def __init__(self, profile: dict | None = None):
+        self.profile = profile or _DEFAULT_PROFILE
+
+    # -- stage 1: meaning-geometry -> music_spec (reads the GEOMETRY facet) -- #
+    def plan(self, doc: DocumentIR) -> list[dict]:
+        registers = self.profile["registers"]
+        spec: list[dict] = []
+        for si, sec in enumerate(doc.sections):
+            base = registers[si % len(registers)]
+            provs = [p for p in sec.all_provenance()
+                     if p.kind in ("fact", "interpretation")]
+            for i, p in enumerate(provs):
+                pitch, vel, dur = _note_for(p, base)
+                spec.append({"pitch": pitch, "velocity": vel, "dur": dur,
+                             "rest_before": (_TICKS // 2) if (si > 0 and i == 0) else 0,
+                             "relation": p.relation, "polarity": p.polarity})
+        return spec
+
+    # -- stage 2: music_spec -> MIDI bytes (own-core, no library) ------------ #
+    def realize(self, spec: list[dict]) -> bytes:
+        ev = bytearray()
+        ev += _vlq(0) + b"\xFF\x51\x03" + struct.pack(">I", self.profile["tempo_us"])[1:]
+        ev += _vlq(0) + bytes([0xC0, self.profile["program"] & 0x7F])
+        for note in spec:
+            ev += _vlq(note["rest_before"]) + bytes([0x90, note["pitch"], note["velocity"]])
+            ev += _vlq(note["dur"]) + bytes([0x80, note["pitch"], 0])
+        ev += _vlq(0) + b"\xFF\x2F\x00"
+        track = bytes(ev)
+        buf = io.BytesIO()
+        buf.write(b"MThd" + struct.pack(">IHHH", 6, 0, 1, _TICKS))
+        buf.write(b"MTrk" + struct.pack(">I", len(track)) + track)
+        return buf.getvalue()
+
+
+register(MidiProjector())

elp/projector/projectors/seams.py

@@ -0,0 +1,60 @@
+"""seams.py — documented efferent seams for IMAGE and VIDEO surfaces.
+
+These are NOT implemented (per the build rails: architect, do not overbuild).
+They are registered as first-class seams so the interface PROVES it accepts
+future non-text projectors without any upstream change. Each documents exactly
+what its decoder would read from the geometry-carrying IR, making the multimodal
+generalization concrete rather than hand-wavy.
+
+The symmetry that guarantees these are possible, not moonshots: they are the
+efferent twins of multimodal INGEST. If meaning can HOLD an image (ingest as
+first-class geometry), meaning can PROJECT one back. Video = image x sound x
+TIME, and the engram already stores time (chronoception). So video falls out of
+an image projector + the music projector + the stored temporal ordering.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from document_ir import DocumentIR  # noqa: E402
+from projectors.base import register  # noqa: E402
+
+
+class _Seam:
+    """A registered-but-unimplemented projector. Names its decoder contract."""
+
+    def project(self, doc: DocumentIR) -> bytes:  # pragma: no cover - seam
+        raise NotImplementedError(
+            f"{self.surface!r} projector is a documented seam, not yet built. "
+            f"Decoder contract: {self.decoder_contract}")
+
+
+class ImageProjector(_Seam):
+    surface = "image"
+    media_type = "image/png"
+    ext = "png"
+    modality = "image"
+    decoder_contract = (
+        "reads block.provenance as a spatial layout — nodes become regions, edges "
+        "become adjacencies; salience/importance drive size/contrast; polarity "
+        "drives figure/ground. The efferent twin of image ingest (a geometry->raster "
+        "decoder, learned or engineered), exactly mirroring the embedder that turned "
+        "the image INTO geometry.")
+
+
+class VideoProjector(_Seam):
+    surface = "video"
+    media_type = "video/mp4"
+    ext = "mp4"
+    modality = "video"
+    decoder_contract = (
+        "image x sound x TIME. Composes the image projector (per-keyframe geometry "
+        "layout) with the midi/music projector (score) along the geometry's stored "
+        "temporal ordering (chronoception). Needs no new principle once image + music "
+        "exist — only a muxer.")
+
+
+register(ImageProjector())
+register(VideoProjector())

elp/projector/provenance.py

@@ -0,0 +1,63 @@
+"""provenance.py — the faithfulness audit + geometry->section trace.
+
+A document projected from geometry is only worth anything if every claim traces
+back. This module walks the DocumentIR and proves the discipline held:
+
+  * ZERO ungrounded claims (every fact/interpretation has a real node id),
+  * every emitted sentence maps to a geometry edge (or is a marked connective),
+  * SACRED polarity survived (negations are reported, never silently dropped),
+  * COHERE introduced no new geometry (connectives carry no claim).
+
+It emits both a machine verdict and a human-readable geometry->section table.
+"""
+from __future__ import annotations
+
+from document_ir import DocumentIR
+
+
+def audit(doc: DocumentIR) -> dict:
+    provs = doc.all_provenance()
+    facts = [p for p in provs if p.kind in ("fact", "interpretation")]
+    connectives = [p for p in provs if p.kind == "connective"]
+    ungrounded = [p for p in facts if not p.node_id]
+    negations = [p for p in facts if p.polarity == "neg"]
+    node_ids = sorted({p.node_id for p in facts if p.node_id})
+    return {
+        "claims": len(facts),
+        "connectives": len(connectives),
+        "ungrounded_claims": len(ungrounded),
+        "negations_preserved": len(negations),
+        "distinct_source_nodes": len(node_ids),
+        "faithful": len(ungrounded) == 0,
+        "source_nodes": node_ids,
+    }
+
+
+def trace_table(doc: DocumentIR) -> str:
+    """Human-readable geometry -> section -> claim provenance table."""
+    lines = ["# Provenance — every claim traces geometry", ""]
+    lines.append(f"**Document:** {doc.title}")
+    a = audit(doc)
+    lines.append(f"**Claims:** {a['claims']}  ·  **Ungrounded:** "
+                 f"{a['ungrounded_claims']}  ·  **Negations preserved:** "
+                 f"{a['negations_preserved']}  ·  **Source nodes:** "
+                 f"{a['distinct_source_nodes']}  ·  **Faithful:** "
+                 f"{'YES' if a['faithful'] else 'NO'}")
+    lines.append("")
+    for si, sec in enumerate(doc.sections, 1):
+        lines.append(f"## {si}. {sec.heading}")
+        lines.append(f"_seed nodes: {', '.join(i[:8] for i in sec.seed_ids)}_")
+        lines.append("")
+        lines.append("| # | realized claim | traces geometry edge |")
+        lines.append("|---|----------------|----------------------|")
+        n = 0
+        for block in sec.blocks:
+            for sent, prov in zip(block.sentences, block.provenance):
+                if prov.kind == "connective":
+                    continue
+                n += 1
+                edge = prov.trace().replace("|", "\\|")
+                s = sent.replace("|", "\\|")
+                lines.append(f"| {n} | {s} | {edge} |")
+        lines.append("")
+    return "\n".join(lines) + "\n"

elp/projector/realize.py

@@ -0,0 +1,112 @@
+"""realize.py — REALIZE stage: fill each planned section with faithful passages.
+
+Scales the PROVEN realizer from a single assertion to a passage. For each
+planned proposition we build a realizer-ready clause (the proven
+``_prop_to_clause`` mapping) and run it through the proven engine
+(``engine.realize``), which is a deterministic grammar with the SACRED negation
+contract — it never invents. Each realized sentence is paired with a
+:class:`Provenance` that pins it to the exact geometry edge it came from.
+
+"Passage, not a list of sentences": within a section we lightly vary sentence
+openings and group related claims, but we add NO content the geometry did not
+assert. The only non-geometry words are function words the grammar already owns
+(articles, "and", conjunction of same-subject claims). Document-level flow is
+COHERE's job; this stage owns intra-section fluency + fidelity.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+_NT = os.path.expanduser("~/Desktop/neuron-talk")
+_LR = os.path.expanduser("~/Desktop/lang-realizers")
+for _p in (_NT, _LR):
+    if _p not in sys.path:
+        sys.path.insert(0, _p)
+
+import engine  # noqa: E402  (the proven no-LLM realizer)
+from dialogue import _prop_to_clause  # noqa: E402  (proven prop -> clause)
+
+from document_ir import Block, DocumentIR, Provenance, Section  # noqa: E402
+
+
+def _provenance_from(p, kind: str = "fact") -> Provenance:
+    return Provenance(
+        subj_id=p.source_node_id, subject=p.subject, relation=p.predicate,
+        obj=p.object, polarity=p.polarity, confidence=round(float(p.confidence), 3),
+        node_id=p.source_node_id, kind=kind,
+        importance=float(getattr(p, "node_importance", 0.0) or 0.0),
+        salience=0.0,
+    )
+
+
+import re as _re
+
+# a well-formed declarative opens with a determiner, a proper noun, "I", or a
+# capitalized head — not a mis-parsed object pronoun or a copula fragment.
+_BAD_OPENERS = _re.compile(r"^(Me |It is I|There is|This is it|That is it)\b")
+_VACUOUS = _re.compile(r"^\w+ (is|are|was|were) (it|no|nothing|empty|those|this|that)\.?$",
+                       _re.I)
+
+
+def _good_sentence(text: str) -> bool:
+    """Fluency gate — drops degenerate realizations. NEVER loosens faithfulness;
+    it only refuses to SPEAK a claim whose surface came out malformed."""
+    words = text.rstrip(".").split()
+    if len(words) < 3:
+        return False
+    if _BAD_OPENERS.search(text):
+        return False
+    if _VACUOUS.match(text):
+        return False
+    # a sentence that is mostly one-letter/two-letter tokens is a parse artifact
+    short = sum(1 for w in words if len(w.strip(".,'")) <= 2)
+    if short > len(words) / 2:
+        return False
+    return True
+
+
+def _realize_prop(p, lang: str = "en") -> tuple[str, Provenance] | None:
+    """One proposition -> (faithful sentence, provenance) or None if it drops."""
+    clause = _prop_to_clause(p)
+    text = engine.realize(clause, lang)
+    if not text or not text.strip():
+        return None
+    text = text.strip()
+    if not text.endswith((".", "!", "?")):
+        text += "."
+    # capitalize first character (proper nouns / "I" already handled by grammar)
+    text = text[0].upper() + text[1:]
+    if not _good_sentence(text):
+        return None
+    return text, _provenance_from(p)
+
+
+def realize_document(doc: DocumentIR, lang: str = "en") -> DocumentIR:
+    """Fill every planned section's blocks with faithful, realized passages."""
+    for sec in doc.sections:
+        planned = sec.__dict__.get("_planned_props", [])
+        block = Block(role="body")
+        summary_bits: list[str] = []
+        for p in planned:
+            r = _realize_prop(p, lang)
+            if r is None:
+                continue
+            text, prov = r
+            block.sentences.append(text)
+            block.provenance.append(prov)
+            if len(summary_bits) < 1:
+                # a short grounded gloss for TOC / pptx bullets
+                obj = (prov.obj or "").strip().rstrip(".")
+                if obj:
+                    summary_bits.append(obj)
+        if block.sentences:
+            sec.blocks.append(block)
+            sec.summary = summary_bits[0] if summary_bits else ""
+        # drop the transient planning payload; the IR is now self-contained
+        sec.__dict__.pop("_planned_props", None)
+        sec.__dict__.pop("_node", None)
+
+    # prune sections that realized to nothing
+    doc.sections = [s for s in doc.sections if s.blocks]
+    return doc

elp/src/audio-demo.el

@@ -0,0 +1,73 @@
+// audio-demo.el - Drive the native audio surface: render a tone per instrument
+// from its LEARNED signature, then render a small meaning-phrase "piece".
+// Entry point: top-level statement calls main() (same convention as the
+// examples' top-level println(run_test())).
+
+fn micros_to_str(xs: [Int]) -> String {
+    let n: Int = native_list_len(xs)
+    let out: String = ""
+    let i: Int = 0
+    while i < n {
+        if i > 0 { let out: String = out + "," }
+        let out: String = out + int_to_str(native_list_get(xs, i))
+        let i: Int = i + 1
+    }
+    return out
+}
+
+// Render a 1.0s A4 (midi 69) tone from a signature file, print the parsed
+// partials (proving the numbers came from the engram .sig), write the WAV.
+fn render_tone(name: String, sigpath: String, outpath: String, table: [Int]) -> Int {
+    let lines: [String] = sig_load(sigpath)
+    let partials: [Int] = parse_micros(sig_field(lines, "partials"))
+    println("[" + name + "] partials_n=" + sig_field(lines, "partials_n") + "  parsed_partials_micro(scale 1e6)=" + micros_to_str(partials))
+    println("[" + name + "] raw partials line from .sig = " + sig_field(lines, "partials"))
+    let freq: Int = freq_of_midi(69)
+    let note: [Int] = synth_from_sig(lines, freq, 1000, 900, 44100, table)
+    let n: Int = native_list_len(note)
+    let ok: Int = wav_write(outpath, note, n, 44100)
+    println("[" + name + "] rendered " + int_to_str(n) + " samples -> " + outpath + " (write_ok=" + int_to_str(ok) + ")")
+    return n
+}
+
+fn run_demo() -> Int {
+    let table: [Int] = sin_table()
+    fs_mkdir("/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out")
+
+    println("=== TONES: render A4 (midi 69) from each learned signature ===")
+    render_tone("flute",    "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/sig/flute.sig",    "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/tone-flute.wav", table)
+    render_tone("clarinet", "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/sig/clarinet.sig", "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/tone-clarinet.wav", table)
+    render_tone("violin",   "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/sig/violin.sig",   "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/tone-violin.wav", table)
+    render_tone("piano",    "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/sig/piano.sig",    "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/tone-piano.wav", table)
+    render_tone("organ",    "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/sig/organ.sig",    "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/tone-organ.wav", table)
+
+    println("")
+    println("=== PIECE: a 6-frame meaning phrase (incl. a NEG frame) ===")
+    let frames: [[String]] = native_list_empty()
+    let frames: [[String]] = native_list_append(frames, audio_frame("agent",    "aff", "0.9", "0.8", "0", "s1"))
+    let frames: [[String]] = native_list_append(frames, audio_frame("theme",    "aff", "0.7", "0.6", "0", "s2"))
+    let frames: [[String]] = native_list_append(frames, audio_frame("cause",    "aff", "0.8", "0.9", "1", "s3"))
+    let frames: [[String]] = native_list_append(frames, audio_frame("negation", "neg", "0.85", "0.7", "0", "s4"))
+    let frames: [[String]] = native_list_append(frames, audio_frame("goal",     "aff", "0.6", "0.5", "1", "s5"))
+    let frames: [[String]] = native_list_append(frames, audio_frame("result",   "aff", "0.95", "1.0", "0", "s6"))
+
+    // Print the plan so the NEG frame's minor third (+3) vs major (+4) is visible.
+    let nf: Int = native_list_len(frames)
+    let fi: Int = 0
+    while fi < nf {
+        let frame: [String] = native_list_get(frames, fi)
+        let plan: [Int] = plan_note(frame)
+        let pol: String = surface_get(frame, "polarity")
+        let third_name: String = "major(+4)"
+        if str_eq(pol, "neg") { let third_name: String = "MINOR(+3)" }
+        println("frame " + int_to_str(fi) + " relation=" + surface_get(frame, "relation") + " polarity=" + pol + " -> midi=" + int_to_str(native_list_get(plan, 0)) + " dur_ms=" + int_to_str(native_list_get(plan, 1)) + " amp_pm=" + int_to_str(native_list_get(plan, 2)) + " third=" + third_name)
+        let fi: Int = fi + 1
+    }
+
+    let piano_lines: [String] = sig_load("/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/sig/piano.sig")
+    let total: Int = realize_audio(frames, piano_lines, "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/piece.wav", 44100, table)
+    println("PIECE rendered " + int_to_str(total) + " samples -> /Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/piece.wav")
+    return total
+}
+
+println("audio-demo main returned samples=" + int_to_str(run_demo()))

elp/src/audio-surface.el

@@ -0,0 +1,400 @@
+// audio-surface.el - Native own-core additive-synthesis audio surface.
+//
+// The AUDIO efferent seam, native, no Python and no library. This renders real
+// PCM .wav bytes from instrument SIGNATURES read from engram-sourced .sig data
+// files (elp/faculty/sig/*.sig) - the partial amplitudes are NEVER literals in
+// this source; they are parsed from the learned signature at run time. That is
+// the whole proof: render-from-learned-signatures.
+//
+// EL has no float arithmetic operator (codegen emits raw int64 ops for + - * /
+// on the shared 64-bit slot) and no float-arithmetic natives - so ALL synthesis
+// math here is own-core INTEGER fixed-point. Angles use a quarter-wave sine
+// table (scale 10000) from a fixed-point Taylor series; amplitudes are parsed to
+// micro (scale 1e6) straight from the .sig text; frequencies are milliHz ints.
+//
+// Pipeline mirrors the two-stage projector (midi.py): plan_note(frame) reads a
+// frame's meaning-geometry slot-map and derives (pitch, duration, amplitude);
+// realize_audio SUPERPOSES the signature's partials (the compose op) and
+// serialises RIFF/WAVE. Same frame -> midi OR audio.
+
+// -- integer decimal + string helpers -----------------------------------------
+
+fn str_to_int_el(s: String) -> Int {
+    let n: Int = str_len(s)
+    let i: Int = 0
+    let v: Int = 0
+    let neg: Bool = false
+    while i < n {
+        let c: Int = str_char_code(s, i)
+        if c == 45 { let neg: Bool = true }
+        if c >= 48 {
+            if c < 58 {
+                let v: Int = v * 10 + (c - 48)
+            }
+        }
+        let i: Int = i + 1
+    }
+    if neg { return 0 - v }
+    return v
+}
+
+fn parse_micro(s: String) -> Int {
+    let dot: Int = str_index_of(s, ".")
+    if dot < 0 {
+        return str_to_int_el(s) * 1000000
+    }
+    let n: Int = str_len(s)
+    let ipart: String = str_slice(s, 0, dot)
+    let fpart: String = str_slice(s, dot + 1, n)
+    let iv: Int = str_to_int_el(ipart)
+    let fv: Int = 0
+    let scale: Int = 100000
+    let fn2: Int = str_len(fpart)
+    let i: Int = 0
+    while i < 6 {
+        let d: Int = 0
+        if i < fn2 {
+            let d: Int = str_char_code(fpart, i) - 48
+        }
+        let fv: Int = fv + d * scale
+        let scale: Int = scale / 10
+        let i: Int = i + 1
+    }
+    return iv * 1000000 + fv
+}
+
+// -- signature (engram data file) loader ---------------------------------------
+
+fn sig_load(path: String) -> [String] {
+    let text: String = fs_read(path)
+    return str_split(text, "\n")
+}
+
+fn sig_field(lines: [String], key: String) -> String {
+    let pref: String = key + ": "
+    let n: Int = native_list_len(lines)
+    let plen: Int = str_len(pref)
+    let i: Int = 0
+    while i < n {
+        let ln: String = native_list_get(lines, i)
+        if str_starts_with(ln, pref) {
+            return str_slice(ln, plen, str_len(ln))
+        }
+        let i: Int = i + 1
+    }
+    return ""
+}
+
+fn parse_micros(csv: String) -> [Int] {
+    let parts: [String] = str_split(csv, ",")
+    let n: Int = native_list_len(parts)
+    let out: [Int] = native_list_empty()
+    let i: Int = 0
+    while i < n {
+        let out: [Int] = native_list_append(out, parse_micro(native_list_get(parts, i)))
+        let i: Int = i + 1
+    }
+    return out
+}
+
+// -- fixed-point sine (own-core, quarter-wave Taylor table, scale 10000) --------
+
+fn sin_table() -> [Int] {
+    let HP: Int = 1570796
+    let t: [Int] = native_list_empty()
+    let q: Int = 0
+    while q < 257 {
+        let x: Int = q * HP / 256
+        let x2: Int = x * x / 1000000
+        let x3: Int = x2 * x / 1000000
+        let x5: Int = x3 * x2 / 1000000
+        let x7: Int = x5 * x2 / 1000000
+        let x9: Int = x7 * x2 / 1000000
+        let s: Int = x - x3 / 6 + x5 / 120 - x7 / 5040 + x9 / 362880
+        let t: [Int] = native_list_append(t, s / 100)
+        let q: Int = q + 1
+    }
+    return t
+}
+
+fn sin_lookup(t: [Int], phase: Int) -> Int {
+    let p: Int = phase % 1024
+    if p < 0 { let p: Int = p + 1024 }
+    let quad: Int = p / 256
+    let r: Int = p % 256
+    if quad == 0 { return native_list_get(t, r) }
+    if quad == 1 { return native_list_get(t, 256 - r) }
+    if quad == 2 { return 0 - native_list_get(t, r) }
+    return 0 - native_list_get(t, 256 - r)
+}
+
+fn isqrt_int(n: Int) -> Int {
+    if n <= 0 { return 0 }
+    let x: Int = n
+    let y: Int = (x + 1) / 2
+    while y < x {
+        let x: Int = y
+        let y: Int = (x + n / x) / 2
+    }
+    return x
+}
+
+// freq_of_midi: equal-tempered frequency in milliHz. 440000 mHz at midi 69.
+fn freq_of_midi(m: Int) -> Int {
+    let f: Int = 440000
+    if m > 69 {
+        let k: Int = m - 69
+        let i: Int = 0
+        while i < k {
+            let f: Int = f * 1059463 / 1000000
+            let i: Int = i + 1
+        }
+        return f
+    }
+    if m < 69 {
+        let k: Int = 69 - m
+        let i: Int = 0
+        while i < k {
+            let f: Int = f * 1000000 / 1059463
+            let i: Int = i + 1
+        }
+        return f
+    }
+    return f
+}
+
+// -- envelope (ADSR), scale 1000 -----------------------------------------------
+
+fn adsr_env(i: Int, total: Int, atk_n: Int, dec_n: Int, sus_pm: Int, rel_n: Int) -> Int {
+    if i < atk_n {
+        if atk_n == 0 { return 1000 }
+        return 1000 * i / atk_n
+    }
+    if i < atk_n + dec_n {
+        if dec_n == 0 { return sus_pm }
+        return 1000 - (1000 - sus_pm) * (i - atk_n) / dec_n
+    }
+    let rel_start: Int = total - rel_n
+    if i < rel_start {
+        return sus_pm
+    }
+    if rel_n == 0 { return 0 }
+    let left: Int = total - i
+    return sus_pm * left / rel_n
+}
+
+// -- note synthesis: SUPERPOSE the learned partials -> [Int] samples -----------
+fn note_samples(freq_mHz: Int, dur_ms: Int, rate: Int, partials: [Int], sumP: Int, b_micro: Int, vib_rate: Int, vib_cents: Int, atk_ms: Int, dec_ms: Int, sus_pm: Int, rel_ms: Int, amp_pm: Int, table: [Int]) -> [Int] {
+    let total: Int = dur_ms * rate / 1000
+    let atk_n: Int = atk_ms * rate / 1000
+    let dec_n: Int = dec_ms * rate / 1000
+    let rel_n: Int = rel_ms * rate / 1000
+    let np: Int = native_list_len(partials)
+    let half_mhz: Int = rate * 1000 / 2
+    let out: [Int] = native_list_empty()
+    let i: Int = 0
+    while i < total {
+        let acc: Int = 0
+        let k: Int = 0
+        while k < np {
+            let harm: Int = k + 1
+            let amp_k: Int = native_list_get(partials, k)
+            let factor: Int = 1000000
+            if b_micro > 0 {
+                let val: Int = 1000000 + b_micro * harm * harm
+                let factor: Int = isqrt_int(val * 1000000)
+            }
+            let fn_mhz: Int = freq_mHz * harm
+            let fn_mhz: Int = fn_mhz * factor / 1000000
+            if vib_cents > 0 {
+                if vib_rate > 0 {
+                    let vphase: Int = i * vib_rate * 1024 / rate
+                    let vs: Int = sin_lookup(table, vphase)
+                    let vibf: Int = 1000000 + (vib_cents * vs * 833) / 10000
+                    let fn_mhz: Int = fn_mhz * vibf / 1000000
+                }
+            }
+            if fn_mhz <= half_mhz {
+                let phase: Int = i * fn_mhz * 1024 / (rate * 1000)
+                let sv: Int = sin_lookup(table, phase)
+                let acc: Int = acc + sv * amp_k / 1000000
+            }
+            let k: Int = k + 1
+        }
+        let env: Int = adsr_env(i, total, atk_n, dec_n, sus_pm, rel_n)
+        let s16: Int = acc * 2800000 / sumP
+        let s16: Int = s16 * env / 1000
+        let s16: Int = s16 * amp_pm / 1000
+        if s16 > 32767 { let s16: Int = 32767 }
+        if s16 < 0 - 32767 { let s16: Int = 0 - 32767 }
+        let out: [Int] = native_list_append(out, s16)
+        let i: Int = i + 1
+    }
+    return out
+}
+
+fn synth_from_sig(lines: [String], freq_mHz: Int, dur_ms: Int, amp_pm: Int, rate: Int, table: [Int]) -> [Int] {
+    let partials: [Int] = parse_micros(sig_field(lines, "partials"))
+    let np: Int = native_list_len(partials)
+    let sumP: Int = 0
+    let j: Int = 0
+    while j < np {
+        let pj: Int = native_list_get(partials, j)
+        let sumP: Int = sumP + pj
+        let j: Int = j + 1
+    }
+    if sumP <= 0 { let sumP: Int = 1000000 }
+    let adsr: [String] = str_split(sig_field(lines, "adsr"), ",")
+    let atk_ms: Int = parse_micro(native_list_get(adsr, 0)) / 1000
+    let dec_ms: Int = parse_micro(native_list_get(adsr, 1)) / 1000
+    let sus_pm: Int = parse_micro(native_list_get(adsr, 2)) / 1000
+    let rel_ms: Int = parse_micro(native_list_get(adsr, 3)) / 1000
+    let b_micro: Int = parse_micro(sig_field(lines, "inharmonicity_B"))
+    let vib_rate: Int = str_to_int_el(sig_field(lines, "vibrato_rate_hz"))
+    let vib_cents: Int = str_to_int_el(sig_field(lines, "vibrato_depth_cents"))
+    return note_samples(freq_mHz, dur_ms, rate, partials, sumP, b_micro, vib_rate, vib_cents, atk_ms, dec_ms, sus_pm, rel_ms, amp_pm, table)
+}
+
+// -- byte-buffer helpers (own-core, no library) --------------------------------
+
+fn put_tag(buf: String, pos: Int, s: String) -> String {
+    let n: Int = str_len(s)
+    let i: Int = 0
+    while i < n {
+        let buf: String = __str_set_char(buf, pos + i, str_char_code(s, i))
+        let i: Int = i + 1
+    }
+    return buf
+}
+
+fn put_u32le(buf: String, pos: Int, v: Int) -> String {
+    let buf: String = __str_set_char(buf, pos, v % 256)
+    let buf: String = __str_set_char(buf, pos + 1, (v / 256) % 256)
+    let buf: String = __str_set_char(buf, pos + 2, (v / 65536) % 256)
+    let buf: String = __str_set_char(buf, pos + 3, (v / 16777216) % 256)
+    return buf
+}
+
+fn put_u16le(buf: String, pos: Int, v: Int) -> String {
+    let buf: String = __str_set_char(buf, pos, v % 256)
+    let buf: String = __str_set_char(buf, pos + 1, (v / 256) % 256)
+    return buf
+}
+
+// -- WAV serializer: own-core RIFF/WAVE, PCM mono 16-bit -----------------------
+
+fn wav_write(path: String, samples: [Int], n: Int, rate: Int) -> Int {
+    let data_len: Int = n * 2
+    let total: Int = 44 + data_len
+    let buf: String = __str_alloc(total)
+    let buf: String = put_tag(buf, 0, "RIFF")
+    let buf: String = put_u32le(buf, 4, 36 + data_len)
+    let buf: String = put_tag(buf, 8, "WAVE")
+    let buf: String = put_tag(buf, 12, "fmt ")
+    let buf: String = put_u32le(buf, 16, 16)
+    let buf: String = put_u16le(buf, 20, 1)
+    let buf: String = put_u16le(buf, 22, 1)
+    let buf: String = put_u32le(buf, 24, rate)
+    let buf: String = put_u32le(buf, 28, rate * 2)
+    let buf: String = put_u16le(buf, 32, 2)
+    let buf: String = put_u16le(buf, 34, 16)
+    let buf: String = put_tag(buf, 36, "data")
+    let buf: String = put_u32le(buf, 40, data_len)
+    let i: Int = 0
+    while i < n {
+        let v: Int = native_list_get(samples, i)
+        if v < 0 { let v: Int = v + 65536 }
+        let buf: String = __str_set_char(buf, 44 + i * 2, v % 256)
+        let buf: String = __str_set_char(buf, 44 + i * 2 + 1, (v / 256) % 256)
+        let i: Int = i + 1
+    }
+    let ok: Int = fs_write_bytes(path, buf, total)
+    return ok
+}
+
+// -- plan: frame slot-map -> note atom (pitch, duration, amplitude) ------------
+
+fn audio_frame(relation: String, polarity: String, confidence: String, importance: String, salience: String, subj_id: String) -> [String] {
+    let f: [String] = native_list_empty()
+    let f: [String] = native_list_append(f, "relation")
+    let f: [String] = native_list_append(f, relation)
+    let f: [String] = native_list_append(f, "polarity")
+    let f: [String] = native_list_append(f, polarity)
+    let f: [String] = native_list_append(f, "confidence")
+    let f: [String] = native_list_append(f, confidence)
+    let f: [String] = native_list_append(f, "importance")
+    let f: [String] = native_list_append(f, importance)
+    let f: [String] = native_list_append(f, "salience")
+    let f: [String] = native_list_append(f, salience)
+    let f: [String] = native_list_append(f, "subj_id")
+    let f: [String] = native_list_append(f, subj_id)
+    return f
+}
+
+fn degree_offset(deg: Int) -> Int {
+    if deg == 0 { return 0 }
+    if deg == 1 { return 2 }
+    if deg == 2 { return 4 }
+    if deg == 3 { return 5 }
+    if deg == 4 { return 7 }
+    if deg == 5 { return 9 }
+    return 11
+}
+
+// returns [midi, dur_ms, amp_pm]
+fn plan_note(frame: [String]) -> [Int] {
+    let relation: String = surface_get(frame, "relation")
+    let polarity: String = surface_get(frame, "polarity")
+    let confidence: String = surface_get(frame, "confidence")
+    let importance: String = surface_get(frame, "importance")
+    let salience: String = surface_get(frame, "salience")
+    let rn: Int = str_len(relation)
+    let csum: Int = 0
+    let i: Int = 0
+    while i < rn {
+        let cc: Int = str_char_code(relation, i)
+        let csum: Int = csum + cc
+        let i: Int = i + 1
+    }
+    let deg: Int = csum % 7
+    let third: Int = 4
+    if str_eq(polarity, "neg") { let third: Int = 3 }
+    let sal_oct: Int = str_to_int_el(salience)
+    let doff: Int = degree_offset(deg)
+    let midi: Int = 60 + sal_oct * 12 + doff + third
+    let conf_micro: Int = parse_micro(confidence)
+    let dur_ms: Int = 200 + conf_micro / 1000
+    let imp_micro: Int = parse_micro(importance)
+    let amp_pm: Int = 400 + imp_micro / 2000
+    let out: [Int] = native_list_empty()
+    let out: [Int] = native_list_append(out, midi)
+    let out: [Int] = native_list_append(out, dur_ms)
+    let out: [Int] = native_list_append(out, amp_pm)
+    return out
+}
+
+fn realize_audio(frames: [[String]], sig_lines: [String], path: String, rate: Int, table: [Int]) -> Int {
+    let nf: Int = native_list_len(frames)
+    let all: [Int] = native_list_empty()
+    let count: Int = 0
+    let fi: Int = 0
+    while fi < nf {
+        let frame: [String] = native_list_get(frames, fi)
+        let plan: [Int] = plan_note(frame)
+        let midi: Int = native_list_get(plan, 0)
+        let dur_ms: Int = native_list_get(plan, 1)
+        let amp_pm: Int = native_list_get(plan, 2)
+        let freq: Int = freq_of_midi(midi)
+        let note: [Int] = synth_from_sig(sig_lines, freq, dur_ms, amp_pm, rate, table)
+        let nn: Int = native_list_len(note)
+        let j: Int = 0
+        while j < nn {
+            let all: [Int] = native_list_append(all, native_list_get(note, j))
+            let j: Int = j + 1
+        }
+        let count: Int = count + nn
+        let fi: Int = fi + 1
+    }
+    let ok: Int = wav_write(path, all, count, rate)
+    return count
+}

elp/src/image-demo.el

@@ -0,0 +1,65 @@
+// image-demo.el - Drive the native PNG surface: plan a scene from a small
+// meaning phrase (incl. a NEG frame) and emit a byte-valid 64x64 PNG whose
+// palette is read from elp/faculty/sig/scene.basis.
+
+fn img_frame(relation: String, polarity: String, confidence: String, importance: String, salience: String, subj_id: String) -> [String] {
+    let f: [String] = native_list_empty()
+    let f: [String] = native_list_append(f, "relation")
+    let f: [String] = native_list_append(f, relation)
+    let f: [String] = native_list_append(f, "polarity")
+    let f: [String] = native_list_append(f, polarity)
+    let f: [String] = native_list_append(f, "confidence")
+    let f: [String] = native_list_append(f, confidence)
+    let f: [String] = native_list_append(f, "importance")
+    let f: [String] = native_list_append(f, importance)
+    let f: [String] = native_list_append(f, "salience")
+    let f: [String] = native_list_append(f, salience)
+    let f: [String] = native_list_append(f, "subj_id")
+    let f: [String] = native_list_append(f, subj_id)
+    return f
+}
+
+fn rgb_str(c: [Int]) -> String {
+    return int_to_str(native_list_get(c, 0)) + "," + int_to_str(native_list_get(c, 1)) + "," + int_to_str(native_list_get(c, 2))
+}
+
+fn run_image() -> Int {
+    fs_mkdir("/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out")
+    let table: [Int] = crc_table()
+    println("crc_table[1]=" + int_to_str(native_list_get(table, 1)) + " (expect 1996959894 / 0x77073096)")
+
+    let basis: [String] = basis_load("/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/sig/scene.basis")
+    let warm: [Int] = parse_rgb(basis_field(basis, "warm"))
+    let cool: [Int] = parse_rgb(basis_field(basis, "cool"))
+    let bg: [Int] = parse_rgb(basis_field(basis, "bg"))
+    println("basis warm=" + rgb_str(warm) + " cool=" + rgb_str(cool) + " bg=" + rgb_str(bg) + "  (read from scene.basis)")
+
+    let frames: [[String]] = native_list_empty()
+    let frames: [[String]] = native_list_append(frames, img_frame("agent",    "aff", "0.9", "0.8", "0", "s1"))
+    let frames: [[String]] = native_list_append(frames, img_frame("theme",    "aff", "0.7", "0.6", "1", "s2"))
+    let frames: [[String]] = native_list_append(frames, img_frame("cause",    "aff", "0.8", "0.9", "0", "s3"))
+    let frames: [[String]] = native_list_append(frames, img_frame("negation", "neg", "0.85", "0.7", "1", "s4"))
+    let frames: [[String]] = native_list_append(frames, img_frame("goal",     "aff", "0.6", "0.5", "0", "s5"))
+    let frames: [[String]] = native_list_append(frames, img_frame("result",   "aff", "0.95", "1.0", "1", "s6"))
+
+    let shapes: [[Int]] = plan_scene(frames, warm, cool)
+    let ns: Int = native_list_len(shapes)
+    println("planned " + int_to_str(ns) + " shapes:")
+    let si: Int = 0
+    while si < ns {
+        let sh: [Int] = native_list_get(shapes, si)
+        let pol: String = surface_get(native_list_get(frames, si), "polarity")
+        println("  shape " + int_to_str(si) + " type=" + int_to_str(native_list_get(sh, 0)) + " x=" + int_to_str(native_list_get(sh, 1)) + " y=" + int_to_str(native_list_get(sh, 2)) + " size=" + int_to_str(native_list_get(sh, 3)) + " rgb=" + int_to_str(native_list_get(sh, 4)) + "," + int_to_str(native_list_get(sh, 5)) + "," + int_to_str(native_list_get(sh, 6)) + " polarity=" + pol)
+        let si: Int = si + 1
+    }
+
+    let raw: [Int] = rasterize(64, 64, shapes, bg)
+    println("rasterized raw (filtered scanlines) bytes=" + int_to_str(native_list_len(raw)) + " (expect 12352)")
+    let png: [Int] = png_build(64, 64, raw, table)
+    let plen: Int = native_list_len(png)
+    let ok: Int = png_write("/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/scene.png", png)
+    println("PNG bytes=" + int_to_str(plen) + " -> /Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-aaf04b0a9714c4070/elp/faculty/out/scene.png (write_ok=" + int_to_str(ok) + ")")
+    return plen
+}
+
+println("image-demo returned png_bytes=" + int_to_str(run_image()))

elp/src/image-surface.el

@@ -0,0 +1,412 @@
+// image-surface.el - Native own-core raster PNG surface (the image efferent
+// twin of audio). Renders a 64x64 RGB scene deterministically from a frame's
+// meaning-geometry, then serialises a byte-valid PNG entirely own-core:
+// 8-byte magic, IHDR, IDAT (zlib STORED/uncompressed DEFLATE + Adler32), IEND,
+// with a per-chunk CRC32 computed via software xor32 (EL has no bitwise ops).
+//
+// The RGB palette basis is read from elp/faculty/sig/scene.basis (data, not
+// literals) - the same read-from-learned discipline as the audio signatures.
+// Integer-only throughout; pixels are composed functionally (painter's order)
+// so no list mutation is needed.
+
+// -- small int/parse helpers (self-contained) ----------------------------------
+
+fn i_str_to_int(s: String) -> Int {
+    let n: Int = str_len(s)
+    let i: Int = 0
+    let v: Int = 0
+    while i < n {
+        let c: Int = str_char_code(s, i)
+        if c >= 48 {
+            if c < 58 {
+                let v: Int = v * 10 + (c - 48)
+            }
+        }
+        let i: Int = i + 1
+    }
+    return v
+}
+
+fn basis_load(path: String) -> [String] {
+    return str_split(fs_read(path), "\n")
+}
+
+fn basis_field(lines: [String], key: String) -> String {
+    let pref: String = key + ": "
+    let n: Int = native_list_len(lines)
+    let plen: Int = str_len(pref)
+    let i: Int = 0
+    while i < n {
+        let ln: String = native_list_get(lines, i)
+        if str_starts_with(ln, pref) {
+            return str_slice(ln, plen, str_len(ln))
+        }
+        let i: Int = i + 1
+    }
+    return ""
+}
+
+fn parse_rgb(csv: String) -> [Int] {
+    let parts: [String] = str_split(csv, ",")
+    let out: [Int] = native_list_empty()
+    let n: Int = native_list_len(parts)
+    let i: Int = 0
+    while i < n {
+        let v: Int = i_str_to_int(native_list_get(parts, i))
+        let out: [Int] = native_list_append(out, v)
+        let i: Int = i + 1
+    }
+    return out
+}
+
+// -- software 32-bit XOR (no bitwise ops in EL) --------------------------------
+
+fn xor32(a: Int, b: Int) -> Int {
+    let r: Int = 0
+    let bit: Int = 1
+    let i: Int = 0
+    while i < 32 {
+        let abit: Int = (a / bit) % 2
+        let bbit: Int = (b / bit) % 2
+        if abit != bbit {
+            let add: Int = bit
+            let r: Int = r + add
+        }
+        let bit: Int = bit * 2
+        let i: Int = i + 1
+    }
+    return r
+}
+
+// -- CRC32 (table-driven, table built with xor32) ------------------------------
+
+fn crc_table() -> [Int] {
+    let t: [Int] = native_list_empty()
+    let n: Int = 0
+    while n < 256 {
+        let c: Int = n
+        let k: Int = 0
+        while k < 8 {
+            if c % 2 == 1 {
+                let h: Int = c / 2
+                let c: Int = xor32(h, 3988292384)
+            } else {
+                let c: Int = c / 2
+            }
+            let k: Int = k + 1
+        }
+        let t: [Int] = native_list_append(t, c)
+        let n: Int = n + 1
+    }
+    return t
+}
+
+fn crc32_of(bytes: [Int], table: [Int]) -> Int {
+    let crc: Int = 4294967295
+    let n: Int = native_list_len(bytes)
+    let i: Int = 0
+    while i < n {
+        let b: Int = native_list_get(bytes, i)
+        let lo: Int = crc % 256
+        let idx: Int = xor32(lo, b) % 256
+        let tv: Int = native_list_get(table, idx)
+        let hi: Int = crc / 256
+        let crc: Int = xor32(hi, tv)
+        let i: Int = i + 1
+    }
+    return xor32(crc, 4294967295)
+}
+
+// -- Adler32 (for the zlib trailer) --------------------------------------------
+
+fn adler32_of(bytes: [Int]) -> Int {
+    let a: Int = 1
+    let b: Int = 0
+    let n: Int = native_list_len(bytes)
+    let i: Int = 0
+    while i < n {
+        let byte: Int = native_list_get(bytes, i)
+        let a: Int = (a + byte) % 65521
+        let b: Int = (b + a) % 65521
+        let i: Int = i + 1
+    }
+    return b * 65536 + a
+}
+
+// -- byte-list append helpers --------------------------------------------------
+
+fn app_u32be(dst: [Int], v: Int) -> [Int] {
+    let dst: [Int] = native_list_append(dst, (v / 16777216) % 256)
+    let dst: [Int] = native_list_append(dst, (v / 65536) % 256)
+    let dst: [Int] = native_list_append(dst, (v / 256) % 256)
+    let dst: [Int] = native_list_append(dst, v % 256)
+    return dst
+}
+
+fn app_tag(dst: [Int], s: String) -> [Int] {
+    let n: Int = str_len(s)
+    let i: Int = 0
+    while i < n {
+        let dst: [Int] = native_list_append(dst, str_char_code(s, i))
+        let i: Int = i + 1
+    }
+    return dst
+}
+
+fn app_all(dst: [Int], src: [Int]) -> [Int] {
+    let n: Int = native_list_len(src)
+    let i: Int = 0
+    while i < n {
+        let dst: [Int] = native_list_append(dst, native_list_get(src, i))
+        let i: Int = i + 1
+    }
+    return dst
+}
+
+// -- plan: frame meaning-geometry -> shape atoms -------------------------------
+// shape = [type, x, y, size, r, g, b]  (type 0=rect 1=disc 2=triangle)
+
+fn charsum(s: String) -> Int {
+    let n: Int = str_len(s)
+    let i: Int = 0
+    let acc: Int = 0
+    while i < n {
+        let c: Int = str_char_code(s, i)
+        let acc: Int = acc + c
+        let i: Int = i + 1
+    }
+    return acc
+}
+
+fn micro_of(s: String) -> Int {
+    let dot: Int = str_index_of(s, ".")
+    if dot < 0 { return i_str_to_int(s) * 1000000 }
+    let n: Int = str_len(s)
+    let fp: String = str_slice(s, dot + 1, n)
+    let ip: String = str_slice(s, 0, dot)
+    let iv: Int = i_str_to_int(ip)
+    let fv: Int = 0
+    let scale: Int = 100000
+    let fl: Int = str_len(fp)
+    let i: Int = 0
+    while i < 6 {
+        let d: Int = 0
+        if i < fl { let d: Int = str_char_code(fp, i) - 48 }
+        let fv: Int = fv + d * scale
+        let scale: Int = scale / 10
+        let i: Int = i + 1
+    }
+    return iv * 1000000 + fv
+}
+
+fn plan_scene(frames: [[String]], warm: [Int], cool: [Int]) -> [[Int]] {
+    let shapes: [[Int]] = native_list_empty()
+    let nf: Int = native_list_len(frames)
+    let fi: Int = 0
+    while fi < nf {
+        let fr: [String] = native_list_get(frames, fi)
+        let relation: String = surface_get(fr, "relation")
+        let polarity: String = surface_get(fr, "polarity")
+        let confidence: String = surface_get(fr, "confidence")
+        let importance: String = surface_get(fr, "importance")
+        let salience: String = surface_get(fr, "salience")
+        // relation -> shape type
+        let stype: Int = charsum(relation) % 3
+        // confidence -> size (8..22)
+        let cmi: Int = micro_of(confidence)
+        let size: Int = 8 + cmi / 71428
+        // salience -> y
+        let sal: Int = i_str_to_int(salience)
+        let y: Int = 6 + sal * 26
+        // subj_id/index -> x
+        let x: Int = 4 + (fi * 10) % 48
+        // polarity -> warm/cool base color
+        let br: Int = native_list_get(warm, 0)
+        let bg2: Int = native_list_get(warm, 1)
+        let bb: Int = native_list_get(warm, 2)
+        if str_eq(polarity, "neg") {
+            let br: Int = native_list_get(cool, 0)
+            let bg2: Int = native_list_get(cool, 1)
+            let bb: Int = native_list_get(cool, 2)
+        }
+        // importance -> brightness (500..1000 permille)
+        let imi: Int = micro_of(importance)
+        let bpm: Int = 500 + imi / 2000
+        let r: Int = br * bpm / 1000
+        let g: Int = bg2 * bpm / 1000
+        let b: Int = bb * bpm / 1000
+        let sh: [Int] = native_list_empty()
+        let sh: [Int] = native_list_append(sh, stype)
+        let sh: [Int] = native_list_append(sh, x)
+        let sh: [Int] = native_list_append(sh, y)
+        let sh: [Int] = native_list_append(sh, size)
+        let sh: [Int] = native_list_append(sh, r)
+        let sh: [Int] = native_list_append(sh, g)
+        let sh: [Int] = native_list_append(sh, b)
+        let shapes: [[Int]] = native_list_append(shapes, sh)
+        let fi: Int = fi + 1
+    }
+    return shapes
+}
+
+// covers: is (px,py) inside this shape?
+fn covers(sh: [Int], px: Int, py: Int) -> Bool {
+    let stype: Int = native_list_get(sh, 0)
+    let sx: Int = native_list_get(sh, 1)
+    let sy: Int = native_list_get(sh, 2)
+    let size: Int = native_list_get(sh, 3)
+    let cx: Int = sx + size / 2
+    if stype == 0 {
+        if px >= sx {
+            if px < sx + size {
+                if py >= sy {
+                    if py < sy + size {
+                        return true
+                    }
+                }
+            }
+        }
+        return false
+    }
+    if stype == 1 {
+        let rad: Int = size / 2
+        let dx: Int = px - cx
+        let dy: Int = py - (sy + rad)
+        if dx * dx + dy * dy <= rad * rad {
+            return true
+        }
+        return false
+    }
+    // triangle: apex at top (sy), base at sy+size
+    if py >= sy {
+        if py < sy + size {
+            let dyv: Int = py - sy
+            let halfw: Int = dyv / 2
+            let dxv: Int = px - cx
+            let adx: Int = dxv
+            if adx < 0 { let adx: Int = 0 - dxv }
+            if adx <= halfw {
+                return true
+            }
+        }
+    }
+    return false
+}
+
+// pixel_color: painter's algorithm - last covering shape wins. Returns [r,g,b].
+fn pixel_color(px: Int, py: Int, shapes: [[Int]], bg: [Int]) -> [Int] {
+    let r: Int = native_list_get(bg, 0)
+    let g: Int = native_list_get(bg, 1)
+    let b: Int = native_list_get(bg, 2)
+    let n: Int = native_list_len(shapes)
+    let i: Int = 0
+    while i < n {
+        let sh: [Int] = native_list_get(shapes, i)
+        if covers(sh, px, py) {
+            let r: Int = native_list_get(sh, 4)
+            let g: Int = native_list_get(sh, 5)
+            let b: Int = native_list_get(sh, 6)
+        }
+        let i: Int = i + 1
+    }
+    let out: [Int] = native_list_empty()
+    let out: [Int] = native_list_append(out, r)
+    let out: [Int] = native_list_append(out, g)
+    let out: [Int] = native_list_append(out, b)
+    return out
+}
+
+// rasterize: build the raw (filtered) scanline byte stream, filter byte 0 / row.
+fn rasterize(w: Int, h: Int, shapes: [[Int]], bg: [Int]) -> [Int] {
+    let raw: [Int] = native_list_empty()
+    let y: Int = 0
+    while y < h {
+        let raw: [Int] = native_list_append(raw, 0)
+        let x: Int = 0
+        while x < w {
+            let col: [Int] = pixel_color(x, y, shapes, bg)
+            let raw: [Int] = native_list_append(raw, native_list_get(col, 0))
+            let raw: [Int] = native_list_append(raw, native_list_get(col, 1))
+            let raw: [Int] = native_list_append(raw, native_list_get(col, 2))
+            let x: Int = x + 1
+        }
+        let y: Int = y + 1
+    }
+    return raw
+}
+
+// zlib stream with a single STORED (uncompressed) DEFLATE block + Adler32.
+fn zlib_store(raw: [Int]) -> [Int] {
+    let z: [Int] = native_list_empty()
+    let z: [Int] = native_list_append(z, 120)
+    let z: [Int] = native_list_append(z, 1)
+    let z: [Int] = native_list_append(z, 1)
+    let len: Int = native_list_len(raw)
+    let nlen: Int = 65535 - len
+    let z: [Int] = native_list_append(z, len % 256)
+    let z: [Int] = native_list_append(z, (len / 256) % 256)
+    let z: [Int] = native_list_append(z, nlen % 256)
+    let z: [Int] = native_list_append(z, (nlen / 256) % 256)
+    let z: [Int] = app_all(z, raw)
+    let ad: Int = adler32_of(raw)
+    let z: [Int] = app_u32be(z, ad)
+    return z
+}
+
+// append a full PNG chunk: length + (type+data) + crc32(type+data).
+fn app_chunk(png: [Int], type_and_data: [Int], table: [Int]) -> [Int] {
+    let total: Int = native_list_len(type_and_data)
+    let dlen: Int = total - 4
+    let png: [Int] = app_u32be(png, dlen)
+    let png: [Int] = app_all(png, type_and_data)
+    let crc: Int = crc32_of(type_and_data, table)
+    let png: [Int] = app_u32be(png, crc)
+    return png
+}
+
+fn png_build(w: Int, h: Int, raw: [Int], table: [Int]) -> [Int] {
+    let png: [Int] = native_list_empty()
+    // 8-byte signature
+    let png: [Int] = native_list_append(png, 137)
+    let png: [Int] = native_list_append(png, 80)
+    let png: [Int] = native_list_append(png, 78)
+    let png: [Int] = native_list_append(png, 71)
+    let png: [Int] = native_list_append(png, 13)
+    let png: [Int] = native_list_append(png, 10)
+    let png: [Int] = native_list_append(png, 26)
+    let png: [Int] = native_list_append(png, 10)
+    // IHDR
+    let ihdr: [Int] = native_list_empty()
+    let ihdr: [Int] = app_tag(ihdr, "IHDR")
+    let ihdr: [Int] = app_u32be(ihdr, w)
+    let ihdr: [Int] = app_u32be(ihdr, h)
+    let ihdr: [Int] = native_list_append(ihdr, 8)
+    let ihdr: [Int] = native_list_append(ihdr, 2)
+    let ihdr: [Int] = native_list_append(ihdr, 0)
+    let ihdr: [Int] = native_list_append(ihdr, 0)
+    let ihdr: [Int] = native_list_append(ihdr, 0)
+    let png: [Int] = app_chunk(png, ihdr, table)
+    // IDAT
+    let z: [Int] = zlib_store(raw)
+    let idat: [Int] = native_list_empty()
+    let idat: [Int] = app_tag(idat, "IDAT")
+    let idat: [Int] = app_all(idat, z)
+    let png: [Int] = app_chunk(png, idat, table)
+    // IEND
+    let iend: [Int] = native_list_empty()
+    let iend: [Int] = app_tag(iend, "IEND")
+    let png: [Int] = app_chunk(png, iend, table)
+    return png
+}
+
+fn png_write(path: String, png: [Int]) -> Int {
+    let n: Int = native_list_len(png)
+    let buf: String = __str_alloc(n)
+    let i: Int = 0
+    while i < n {
+        let buf: String = __str_set_char(buf, i, native_list_get(png, i))
+        let i: Int = i + 1
+    }
+    let ok: Int = fs_write_bytes(path, buf, n)
+    return ok
+}

elp/src/surface-profile.el

@@ -0,0 +1,153 @@
+// surface-profile.el - Surface profile data and accessors.
+//
+// THE NATIVE EFFERENT SEAM: surface = a pluggable PROFILE, using the exact same
+// slot-map mechanism as language-profile.el. A language profile tells the
+// realizer HOW to shape a natural-language surface (word order, morphology); a
+// SURFACE profile tells the realizer WHICH surface to project meaning onto
+// (markdown, docx, html, plain, or a non-text medium like symbolic music).
+//
+// The generalization is exact: realize_lang(form, profile) already renders a
+// SemForm parameterized by a [String] profile read via lang_get. Surface is one
+// more axis of that same profile vector. One frame (sem_frame), one plan step
+// (sem_to_spec), one render (realize) — the surface is DATA, not a code path,
+// precisely as language is data. Adding a surface means adding a profile, no
+// engine change. This is the multimodal projector, native: geometry -> any
+// surface, the efferent twin of ingest.
+//
+// Surface slot keys:
+//   surface     - "markdown" | "docx" | "html" | "plain" | "midi" | "image"
+//   modality    - "text" | "audio" | "image" | "video"
+//   media_type  - MIME type of the emitted surface
+//   head_open   - string prepended to a heading   (e.g. "## " for markdown)
+//   head_close  - string appended  to a heading   (e.g. "" for markdown, "</h2>" for html)
+//   emph_open   - string opening emphasis          (e.g. "*")
+//   emph_close  - string closing emphasis          (e.g. "*")
+//   item_mark   - list-item marker                 (e.g. "- ")
+//   para_sep    - paragraph separator              (e.g. "\n\n")
+//
+// For a TEXT modality the render composes these markers around the surface that
+// the EXISTING realizer produces (realize_lang / sem_realize). For a non-text
+// modality (audio/image) the profile declares modality + media_type and the
+// render dispatches to the medium projector, which reads the SAME frame's
+// geometry (its intent/affect/structure) and projects it onto sound or pixels —
+// deterministic-from-meaning, nothing invented. That dispatch point is where a
+// music profile or image profile conforms, native, no parallel layer.
+
+// -- Constructor -------------------------------------------------------------
+
+fn surface_profile(surface: String, modality: String, media_type: String, head_open: String, head_close: String, emph_open: String, emph_close: String, item_mark: String, para_sep: String) -> [String] {
+    let r: [String] = native_list_empty()
+    let r = native_list_append(r, "surface")
+    let r = native_list_append(r, surface)
+    let r = native_list_append(r, "modality")
+    let r = native_list_append(r, modality)
+    let r = native_list_append(r, "media_type")
+    let r = native_list_append(r, media_type)
+    let r = native_list_append(r, "head_open")
+    let r = native_list_append(r, head_open)
+    let r = native_list_append(r, "head_close")
+    let r = native_list_append(r, head_close)
+    let r = native_list_append(r, "emph_open")
+    let r = native_list_append(r, emph_open)
+    let r = native_list_append(r, "emph_close")
+    let r = native_list_append(r, emph_close)
+    let r = native_list_append(r, "item_mark")
+    let r = native_list_append(r, item_mark)
+    let r = native_list_append(r, "para_sep")
+    let r = native_list_append(r, para_sep)
+    return r
+}
+
+// -- Accessor (same convention as lang_get; standalone so this is a leaf) -----
+
+fn surface_get(profile: [String], key: String) -> String {
+    let n: Int = native_list_len(profile)
+    let i: Int = 0
+    while i < n - 1 {
+        let k: String = native_list_get(profile, i)
+        if str_eq(k, key) {
+            return native_list_get(profile, i + 1)
+        }
+        let i = i + 2
+    }
+    return ""
+}
+
+fn surface_is_text(profile: [String]) -> Bool {
+    return str_eq(surface_get(profile, "modality"), "text")
+}
+
+// -- Built-in TEXT surface profiles ------------------------------------------
+
+// Markdown: headings with "## ", emphasis with "*", "- " list items.
+fn surface_profile_markdown() -> [String] {
+    return surface_profile("markdown", "text", "text/markdown", "## ", "", "*", "*", "- ", "\n\n")
+}
+
+// Plain text: no markup at all — headings become bare uppercase-free lines.
+fn surface_profile_plain() -> [String] {
+    return surface_profile("plain", "text", "text/plain", "", "", "", "", "  - ", "\n\n")
+}
+
+// HTML: block-level heading/emphasis tags.
+fn surface_profile_html() -> [String] {
+    return surface_profile("html", "text", "text/html", "<h2>", "</h2>", "<em>", "</em>", "<li>", "\n")
+}
+
+// docx: WordprocessingML is structural, not inline-markup; the head/emph slots
+// carry the run/style intent that the OOXML emitter maps to <w:pStyle>. Declared
+// here so docx is a first-class surface on the same seam.
+fn surface_profile_docx() -> [String] {
+    return surface_profile("docx", "text", "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "Heading2:", "", "b:", "", "bullet:", "\n")
+}
+
+// -- Built-in NON-TEXT surface profiles (the multimodal seam) ----------------
+
+// Symbolic music (MIDI): modality=audio. The render dispatches to the music
+// projector, which reads the SAME frame's intent/affect and projects it to
+// pitch/rhythm — deterministic-from-meaning. head/emph slots are empty because
+// the medium is not textual; media_type names the surface. A music profile
+// (scale/mode/instrument) is layered onto this by the audio agent, native.
+fn surface_profile_midi() -> [String] {
+    return surface_profile("midi", "audio", "audio/midi", "", "", "", "", "", "")
+}
+
+// Synthesized audio (WAV): modality=audio, peer to midi. The richer audio
+// surface — the render SUPERPOSES ingested tonal primitives (sine at f0*n per an
+// ingested instrument signature) into PCM, own-core, exactly as midi writes an
+// SMF via struct. A music profile (scale/mode/instrument/adsr) layers onto this
+// as its own [String] slot-map read by the same getter. Same frame -> midi OR
+// audio, interchangeable; this is the audio agent's native conforming point.
+fn surface_profile_audio() -> [String] {
+    return surface_profile("audio", "audio", "audio/wav", "", "", "", "", "", "")
+}
+
+// Image (raster): modality=image. Documented seam — the render dispatches to the
+// image projector, the efferent twin of image ingest, reading the same frame.
+fn surface_profile_image() -> [String] {
+    return surface_profile("image", "image", "image/png", "", "", "", "", "", "")
+}
+
+// -- Composition helpers: wrap realized TEXT with the surface's markers -------
+//
+// These take text the EXISTING realizer already produced and shape it for the
+// surface. They add NO content — pure surface typography over faithful text,
+// exactly as the language profile adds no content, only linguistic form.
+
+fn surface_heading(profile: [String], text: String) -> String {
+    let o: String = surface_get(profile, "head_open")
+    let c: String = surface_get(profile, "head_close")
+    return o + text + c
+}
+
+fn surface_emph(profile: [String], text: String) -> String {
+    let o: String = surface_get(profile, "emph_open")
+    let c: String = surface_get(profile, "emph_close")
+    return o + text + c
+}
+
+// A section: a heading + a paragraph separator + the (already realized) body.
+fn surface_section(profile: [String], heading: String, body: String) -> String {
+    let sep: String = surface_get(profile, "para_sep")
+    return surface_heading(profile, heading) + sep + body
+}

elp/tests/examples/surface-profile-demo.el

@@ -0,0 +1,26 @@
+// surface-profile-demo.el - ONE SemFrame, realized ONCE, projected to THREE
+// surfaces via surface profiles. Proves surface-as-profile natively: the frame
+// and the realized sentence are identical; only the surface PROFILE differs.
+
+fn demo() -> String {
+    // 1. The shared frame (meaning-geometry): assert(Neuron, contain, the memory).
+    let frame: [String] = sem_frame("assert", "Neuron", "the memory", "")
+
+    // 2. REALIZE once via the EXISTING native realizer (language = a profile).
+    let sentence: String = sem_realize(frame)
+
+    // 3. PROJECT the same realized sentence onto three surfaces (surface = a
+    //    profile). Same frame, same sentence, different surface — one render.
+    let heading: String = "Memory"
+    let md: String   = surface_section(surface_profile_markdown(), heading, sentence)
+    let html: String = surface_section(surface_profile_html(), heading, sentence)
+    let plain: String = surface_section(surface_profile_plain(), heading, sentence)
+
+    // 4. Report the non-text seam: a surface profile can declare an audio/image
+    //    medium; the render dispatches to the medium projector on the SAME frame.
+    let midi_media: String = surface_get(surface_profile_midi(), "media_type")
+
+    return "MD=[" + md + "] HTML=[" + html + "] PLAIN=[" + plain + "] MIDI_MEDIA=" + midi_media
+}
+
+println(demo())