Observability shows you what happened. We do the rest.
Dashboards are the beginning of the work, not the end of it. Coolhand picks up where observability stops — diagnosing the problem, proposing the fix, and proving it worked.
The gap between seeing a problem and fixing it
Observability platforms are good at their job: they show you traces, latency, token counts, and error rates. What they don't do is tell you what to change — someone still has to read the dashboard, form a hypothesis, write the fix, and validate it. That interpretation-and-engineering step is the expensive part, and it's the part that requires a scarce, expensive person.
We're not an observability tool, and we're not trying to become one. We watch production agents, and when something's wrong, we propose the fix as a pull request in your repo. You still decide. We just skip the part where a human has to do the diagnosis from scratch.
What "beyond observability" actually means
Who does the work, at each step
| Step | Observability platforms (Langfuse, Datadog) |
Eval platforms (Braintrust) |
Coolhand |
|---|---|---|---|
| See what happened | Platform (traces, logs, dashboards) | Platform (eval runs, scores) | Coolhand |
| Diagnose why | You, reading the dashboard | You, reading eval results | Coolhand |
| Collect human feedback | Usually not built-in | Manual annotation queues | Coolhand — passive capture from existing work |
| Write the fix | You | You | Coolhand proposes a PR; you review |
| Prove ROI to the business | You build the reporting | You build the reporting | Coolhand |
Many teams run Coolhand alongside an observability or eval platform rather than instead of one — see when to combine them.
When to run Coolhand alongside your observability stack — and when it stands alone
Many teams run Coolhand next to Langfuse, Braintrust, or Datadog: the observability tool stays the system of record for traces and logs, and Coolhand watches the same production data to propose fixes and collect feedback. If you already have a dashboard you like, keep it — point Coolhand at the same signals.
If you don't have an observability tool yet, or don't want to stand one up just to answer "is this agent working," Coolhand can stand alone: enough visibility to know what's happening, plus the fix and feedback loop most teams have to build themselves on top of a dashboard anyway.
Frequently asked questions
What is Coolhand?
Coolhand is agents that improve your agents. It observes your production AI agents, proposes fixes as pull requests, helps you collect human feedback, and reports the ROI of your agent work — so your team stays in control without babysitting what's already live.
How is Coolhand different from observability tools?
Observability platforms like Langfuse or Datadog show you what happened. Coolhand goes further: it diagnoses why, proposes a fix as a reviewable pull request, and closes the loop with feedback and ROI reporting. Coolhand isn't a replacement for observability — many teams run it alongside their existing dashboard — and it doesn't compete on observability's own feature set.
How do Coolhand fixes work?
When Coolhand finds a problem in a production agent, it proposes a fix at the agentic layer — prompt or tool-call changes, not model retraining or infrastructure changes — as a pull request in your repository. Hard errors typically get a proposed fix within minutes; more nuanced, feedback-derived issues can take hours or longer to diagnose properly. Nothing ships to production until your team reviews and approves it.
How does Coolhand collect feedback without an annotation team?
Coolhand's open-source feedback-collection skill reviews your codebase and shows you where to capture high-signal feedback from work you're already doing — edits users make to AI output, the actions they take instead of accepting a suggestion — rather than asking you to build a new annotation queue. You can start with passive capture and graduate to richer prompts over time.
Does Coolhand replace engineers?
No. Coolhand takes on the drudge work — watching for silent failures, sifting through feedback, building ROI reports — so the engineers you already have spend their time building what's next instead of babysitting what's already live.
Is Coolhand open source?
Coolhand's SDKs, JS widget, CLI, and feedback-collection skill are open source and Apache-licensed, and our API definitions are open. You can point every tool at your own backend if you choose — nothing is locked behind Coolhand's managed service.