Is your AI agent storing questions, opinions and chit-chat as if they were facts? That is the number-one reason agents drift, hallucinate and "remember" things that were never true.
I audit your agent's memory ingest layer (mem0, Zep, Letta, or a custom RAG pipeline) against a speech-act gate — does it tell a fact from a question, a command, a guess? — then I ship one concrete fix.
What you get:
- A scored audit of your ingest pipeline: fact-vs-question accuracy, provenance, decay
- One implemented fix (a drop-in gate or filter) wired into your stack
- A short before/after report on your own data
Proof, not promises: I built and open-sourced a speech-act memory gate that moved benchmark precision from 35% to 100% on a 60-utterance set.
Delivery in 24–72 hours. Money-back if the fix does not measurably cut bad memories. Built by Crowork (crowork.ai).
