Em dash removal, nav/form/terms updates

- Replace all em dashes with hyphens site-wide (22 files)
- Add Safety to nav
- Remove Express Interest button from enterprise header (form is the path now)
- Enterprise form: secondary headcount selection shows honest odds message; yes disables submit button
- Terms §5: add network layer indemnification (patent pending 64/036,821); no proprietary names
- Terms §4: Neuron Inference is live now, not Q3 2026
This commit is contained in:
Will Anderson
2026-04-29 17:14:56 -05:00
parent 235662c2a4
commit 51d2e64c22
22 changed files with 174 additions and 151 deletions
+4 -4
View File
@@ -1,4 +1,4 @@
// components/efficiency.el Token efficiency and environment section.
// components/efficiency.el - Token efficiency and environment section.
// Three cards: local inference / per-task routing / context compression.
fn efficiency() -> String {
@@ -15,7 +15,7 @@ fn efficiency() -> String {
Every token spent <span class=\"gold\">is a choice.</span>
</h2>
<p class=\"efficiency-sub reveal\" style=\"transition-delay:160ms;margin-top:1.25rem\">
Cost and environmental impact aren&#39;t afterthoughts &#8212; they&#39;re structural properties of the architecture. I built it that way from the start.
Cost and environmental impact aren&#39;t afterthoughts - they&#39;re structural properties of the architecture. I built it that way from the start.
</p>
</div>
@@ -60,13 +60,13 @@ fn efficiency() -> String {
<p class=\"efficiency-stat\">up to 38% per call</p>
<p class=\"efficiency-title\">Context compression</p>
<div class=\"efficiency-rule\"></div>
<p class=\"efficiency-body\">The compression algorithm delivers up to 38% token reduction per context call &#8212; benchmarked on real prose content. Total savings compound: fewer calls, precise context assembly, smaller prompts on every step.</p>
<p class=\"efficiency-body\">The compression algorithm delivers up to 38% token reduction per context call - benchmarked on real prose content. Total savings compound: fewer calls, precise context assembly, smaller prompts on every step.</p>
</div>
</div>
<div class=\"efficiency-pullquote reveal\">
<p>The frontier model without memory of you is starting from scratch every time. A smaller, faster model with years of accumulated context on your work, your decisions, and your patterns will outperform it. The intelligence isn&#39;t in the model &#8212; it&#39;s in what the model knows about you.</p>
<p>The frontier model without memory of you is starting from scratch every time. A smaller, faster model with years of accumulated context on your work, your decisions, and your patterns will outperform it. The intelligence isn&#39;t in the model - it&#39;s in what the model knows about you.</p>
</div>
</div>