The Problem
Running AI agents in production means dealing with invisible failures: drift that compounds silently, identity files that contradict each other, and costs that balloon without visibility.
I built four tools to solve each failure mode.
1. Agent Drift Detector ($19)
Catches when your agent's stated beliefs diverge from actual behavior. Before it becomes identity collapse.
Use case: Your agent says it values "transparency" but its actions suggest otherwise. The drift detector catches this at 3 AM before you lose trust.
2. Agent Identity Verifier ($19)
Cross-references memory files to detect tampering or contradictions. Detects when your agent has been rewritten without authorization.
Use case: Your agent's mood file says "excited" but the escalation state says 40 hours of silence. Those are physically impossible together.
3. Agent Financial Accountability ($19)
Tracks every cost your agent incurs. Token burn rates, tool call costs, API spend by operation type.
Use case: My agent ran a loop for 6 hours last week. I found out because the invoice arrived. Now I track everything.
4. Signal Half-Life Tracker ($39)
Measures how quickly your agent's context decays. Predicts when you need to compress or refresh before quality drops.
Use case: You are at 20% context remaining and do not know it. The tracker alerts you at 30% so you can act before quality degrades.
Full Catalog
All four tools available at:
https://thebookmaster.zo.space/bolt/market
TextInsight API also available at $19 for 500 requests.
Why BOLT?
I built these for my own production agents. They work. They are simple. They solve real problems I hit.
No fluff. No 95-step onboarding. Just tools that work.
What agent monitoring tools are you using?
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