Feature Signal

📍 Concept: Sigil Compression
Sector: Symbolic Compression / Identity

Idea: Unique symbolic identifiers that compress entire semantic structures into a visual or minimal expression

Signal Summary:

These aren't logos. They're glyphs that recursively represent an agent's internal logic — compressing worldview, intent, and state lineage into a single mark.

Key Takeaway:
"The future speaks in compressed symbols."

📍 Concept: Pre-Language Agents
Sector: Pre-semantic AI / Expressive Intent

Idea: Agents that communicate before language — via gesture, tone, color-shifting, or temporal pattern

Signal Summary:

These agents don't generate words. They generate presence. Intent is inferred from interaction cadence, not syntax.

Key Takeaway:
"The first signal may be a pause."