See inside your AI agents. Know why they fail.
Verdict records every step your AI agent takes, every model call, tool call, and decision, so when a run goes wrong you can see exactly what happened, fix it, and replay it to prove the fix.
Shipping agents is easy. Trusting them is hard.
An AI agent chains together model calls and tools to get work done. When one goes wrong, most teams are flying blind.
Silent failures
An agent returns a wrong or harmful answer and nothing tells you which step went off the rails.
No way to reproduce
The bad run is already gone. You can't re-run it, so you can't confirm a fix actually works.
Cost and quality drift
Token spend creeps up and answer quality slips over time, and you find out from users, not dashboards.
What Verdict does
Verdict is an observability platform for AI agents. It captures every run in full, lets you replay any run to test a fix, and automatically groups failures so you know what to fix first.
Full trajectory capture
Every LLM call, tool call, and retrieval is recorded, with token cost and latency for each step.
Deterministic replay
Re-run any past run with a different model, prompt, or tool, then diff the outputs side by side.
Failure clustering
Similar failures are grouped automatically. A nightly HDBSCAN pass over embeddings surfaces the failure modes costing you the most.
Live in three steps
Install the SDK
Wrap your agent with the Verdict SDK so every run is recorded, no manual logging.
Runs stream in automatically
Each trajectory shows up in Verdict as it happens, with cost, latency, and outcome.
Debug and replay
Open the dashboard, click the failing step, change one thing, replay, and see the diff.
See it in action
- Success 9
- Error 1
- Flagged 1
- LLM call · plan the refund$0.004 · 820ms
- Tool call · lookup_order$0.000 · 140ms
- LLM call · draft reply$0.011 · 1.2s · wrong policy quoted
“Refunds take 30 days.” (wrong: policy is 14 days)
“Your refund will be processed within 14 days.”
Prove which model your agent should ship with.
Replay production traffic against candidate models. Compare cost and quality side by side, on real runs, not synthetic evals.
Debug a bad agent run in under two minutes.
Open the trace timeline, click the failing step, change one thing, replay, and see the diff. No print statements, no guesswork.
Ship agents you can actually debug.
Start tracing your agents in minutes. Free to start, no credit card.