Add native audio/image efferent surfaces + projector proof-of-shape

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"STAGING/PROOF-OF-SHAPE — not the deliverable", superseded by the native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/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