Peufy — AI Debugging
Know why your AI broke.
Not just that it broke.
The first AI debugging platform that traces root causes — not just symptoms — in LLM apps, ML pipelines, and agents.
AI failures are black boxes.
Your LLM app hallucinated. Your ML pipeline degraded. Your agent took the wrong path. You have logs, traces, and dashboards — but none of them tell you why it happened.
Engineers spend hours manually tracing execution paths, comparing inputs, and guessing at failure modes. Peufy fixes it.
How Peufy works
Step 01
Ingest
Connect your LLM app, ML pipeline, or agent framework. Peufy captures traces, logs, and intermediate outputs without code changes.
Step 02
Trace
Peufy maps the full execution graph — inputs, model calls, tool invocations, retrieved context — and isolates exactly where the failure occurred.
Step 03
Explain
Get a plain-language root-cause diagnosis: what went wrong, at which step, why — and what to change to prevent it happening again.
Built for every AI failure mode
LLM Applications
Diagnose hallucinations, prompt failures, and context window overflows in any LLM-powered app.
ML Pipelines
Trace data drift, model degradation, and feature pipeline bugs back to their source.
AI Agents
Understand why a multi-step agent took the wrong path — at the tool call, the decision point, or the retrieval step.
Frequently asked
Be first to debug smarter.
Join the Peufy waitlist and get early access when we launch.