The Black Box for AI Agents
Know exactly what your AI did, why it did it, and whether it should have. Recon records every agent action, scores trust in real time, and lets you replay failures step by step.
Works with LangChain, OpenAI, custom agents, and autonomous workflows
AI agents are starting to act, not just respond.
But when something goes wrong:
- You don’t know what actually happened
- You can’t trace the decision chain
- You can’t explain it to your team or users
- You don’t know if it will happen again
Logs aren't enough.
You need a system that understands behavior.
Meet the Agent Black Box
Every action your AI takes is recorded as a Trust State.
All captured. All replayable. All scored.
Just like a flight recorder for AI.
One line to full visibility
Wrap your agent run — Recon captures the rest.
import { guard } from "recon-sdk"
const result = await guard(agent.run)(task)One line to capture every decision your agent makes.
Not just logs. A trust layer.
Every action is evaluated before execution:
Your agents don't just run.
They earn the right to act.
Replay any incident step by step
- See exactly how an agent moved from input → decision → failure.
- Identify where trust dropped
- See which policy triggered
- Understand what to fix
- From guesswork → to certainty
Active agents
24
+3
Trust score (fleet)
87
stable
Open incidents
2
1 critical
Timeline — incident replay
Beyond debugging: a Trust Operating System
Command Center
Monitor live agents
Timeline
Replay behavior
Trust Atlas
Map risk across systems
Drift
Detect change before failure
Autonomy
Control how agents act
Recon turns AI systems into something you can actually govern.
Built for teams running real AI systems
If your AI can act, you need a Black Box.
Simple, usage-based pricing
You pay for Trust States processed.
Start recording your agents.
Before they make a decision you can't explain.