Welcome to Neatlogs
Find the shortest path from production evidence to an understood, reviewed, and verified improvement.
Neatlogs helps teams understand what AI agents did, investigate why they failed, evaluate whether behavior meets a standard, and monitor whether a change worked.
Start here
Instrument with coding agents
Paste one prompt into the coding agent you already use to add tracing.
Instrument with the Wizard
Run one command that detects your stack and instruments it.
Import Traces
Bring existing traces from another observability platform.
Set up with the SDK
Instrument your application by hand and verify the first run.
Start with a failure
Take one broken run from evidence to a useful investigation.
Use Neatlogs without code
Read runs, flag problems, review quality, and collaborate with engineers.
Follow a task
Read your production briefing
Start with the current period, important findings, and the evidence behind them.
Review incidents
Triage evidence-backed problems, continue investigations, and coordinate resolution.
Investigate and resolve
Find a run, search production, investigate a failure, and hand off a reviewed change.
Evaluate and test
Create an Eval, combine human and AI judgment, and test changes.
Monitor
Detect known behavior, create useful alerts, and follow production quality.
Collaborate
Attach discussion, decisions, and external work to the underlying evidence.
Workspace and security
Configure projects, access, model providers, credentials, and data controls.
Understand the system
Learn how traces, detections, Evals, incidents, investigations, and verification fit together.
Developer references
Use the SDK Reference for instrumentation APIs, Integrations for providers and frameworks, and Guides for complete implementation patterns. Product pages link to those canonical references instead of repeating installation or credential details.
Need help with a failure? Start with Troubleshooting or Ask the documentation.
