I built a 12-state accountability layer for AI agents

说明与用途

COGEXT 通过12个状态跟踪AI代理的承诺，确保原子状态转换和去重。

问题

AI agents generate commitments but fail to track or fulfill them, leading to forgotten promises and unreliable behavior.

结果

COGEXT provides a robust, deterministic accountability layer that ensures commitments are tracked, deduplicated, and verified, reducing missed deadlines and improving agent reliability.

工作流

• 1. Receive agent output
• 2. Classify text for genuine commitments (confidence ≥0.5)
• 3. Extract commitment fields with Groq llama-3.3-70b in JSON mode
• 4. Validate extraction against Pydantic schema
• 5. Normalize deadlines deterministically
• 6. Compute idempotency key and insert commitment via PostgreSQL RPC
• 7. Track state transitions through 12 states using a single RPC function
• 8. Aggregate evidence to determine fulfillment
• 9. Emit immutable events and audit logs

证据

All state mutations go through a single PostgreSQL RPC function. Not direct UPDATEs from application code

来源

We validate everything against Pydantic schemas before touching the database. No exceptions.

来源

The hour window is deliberate: it deduplicates within a session while still allowing the same promise to be legitimately re-made days later.

来源