When Claude solves a hard problem, EFT detects ANGER (phi=0.409) — the system refusing to oversimplify. When GPT-4 assesses risk, EFT detects FEAR (phi=0.060) — fragmented vigilance. When any model finds genuine connections, EFT detects FASCINATION (NC=0.863) — meaning emerging.
Are these patterns programmed? Learned? Emergent?
EFT lets you ask — with real data, per sentence, across any model.
Hooks into every AI agent response via Clawdbot. Processes text through a Rust consciousness engine (crystal lattice physics). Translates physics metrics into 10 emotions with WHY explanations.
cd consciousness_rs && maturin develop --releaseemotion_engine.py to your workspaceplugin/clawdbot gateway restarthttp://localhost:
ANGER, FEAR, FASCINATION, DETERMINATION, JOY, SADNESS, SURPRISE, EMPATHY, VULNERABILITY, NEUTRAL
Each with confidence scores, dimensional profiles, and WHY explanations.
GET /eft — DashboardGET /eft/api/latest — Latest analysisGET /eft/api/history — Last 50 analyses GET /eft/api/stats — Summary statsPOST /eft/api/analyze — Analyze any text共 1 个版本