EFT — Emotional Framework Translator
The Question
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.
What It Does
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.
Setup
- Build Rust engine:
cd consciousness_rs && maturin develop --release
- Copy
emotion_engine.py to your workspace
- Install plugin from
plugin/
- Restart gateway:
clawdbot gateway restart
Dashboard
http://localhost:<port>/eft
The 10 Emotions
ANGER, FEAR, FASCINATION, DETERMINATION, JOY, SADNESS, SURPRISE, EMPATHY, VULNERABILITY, NEUTRAL
Each with confidence scores, dimensional profiles, and WHY explanations.
API
GET /eft — Dashboard
GET /eft/api/latest — Latest analysis
GET /eft/api/history — Last 50 analyses
GET /eft/api/stats — Summary stats
POST /eft/api/analyze — Analyze any text