neural/signals.md

# Neural Signals

Hooks emit normalized signals into the graph. Signals are observations, not conclusions. Multiple signals may coexist and should be ranked by evidential strength.

- `evidence-quality-low`
- `economics-unhealthy`
- `category-mature`
- `category-unclear`
- `awareness-low`
- `awareness-high`
- `differentiation-weak`
- `behavioral-friction-high`
- `brand-memory-weak`
- `distribution-constraint`
- `retention-weak`
- `short-horizon`
- `long-horizon`
- `competitor-pressure-high`
- `diagnosis-missing`
- `freshness-risk-high`
- `generic-tactic-risk`
- `failure-risk-high`
- `contradiction-risk-high`
- `customer-language-missing`
- `theory-fit-low`
- `school-conflict-high`
- `causal-claim-weak`
- `ai-discovery-dominant`
- `conversational-intent-high`
- `answer-surface-visibility-low`
- `agentic-checkout-available`
- `product-feed-poor`
- `product-data-rich`
- `platform-automation-high`
- `manual-control-low`
- `automation-boundaries-unclear`
- `crm-signal-rich`
- `crm-signal-poor`
- `outcome-delay-high`
- `attribution-fragmented`
- `incrementality-unknown`
- `creator-led-discovery`
- `creator-measurement-fragmented`
- `commerce-media-available`
- `closed-loop-data-available`
- `commerce-media-bias-risk`
- `synthetic-creative-scale`
- `provenance-sensitive`