Atla - Automatically detect errors in your AI agents
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Atla is the only eval tool that helps you automatically discover the underlying issues in your AI agents. Understand step-level errors, prioritize recurring failure patterns, and fix issues fast–before your users ever notice.
Replies
Interesting @romanengeler and Team,
Just forwarded this to our CTO! Congrats on your launch :)
FirstQuadrant
Well done team!
Fondo
Interesting, does this also help identify agent inefficiencies as well and suggest optimizations? Would love to automate ways to speed up my agentic workflow.
Atla
@tarun_pasumarthi we've had many users ask for this! Currently our critic focusses on catching mis-steps, but we're actively thinking about how to find inefficiencies as well by "backward passing" through the entire trace.
So for instance if an agent arrived at an answer to a simple question but used 20 steps of reasoning to do so - we wouldn't flag this currently walking forward through the trace, but we're exploring whether it becomes clearer looking back!
Ah interesting idea! Would be cool to see the backward pass method working.
lucky I got early access, y'all need to try Atla!
Looks good, how does Atla define an error?
In my mind, the agent run multiple steps and have some results, but sometimes the result doesn't satisfy the needs which may not an error but need more rounds input.
Atla
@new_user___1342025547691234062bac1 great q! We try to catch any steps of the agent that deviate from its instructions/request/context so far, for e.g. if the agent ran several reasoning steps that were all logically sound, grounded, followed the brief etc. they would pass.
On the flip side, if the agent failed to ask the user for some critical piece of information (as specified by its instructions) and eventually failed because of this, we would flag this. We're constantly working on making this step-level critic's annotations more precise!
SigmaMind AI
As someone building AI agents for enterprises - debugging AI agents is a very common and deep problem. Would definitely love to give it a try!
remio - Your Personal ChatGPT
Congratulations on your Product Hunt launch! Atla looks like a powerful tool for debugging and improving AI agents. What’s your vision for how Atla will evolve to address new types of AI failures in the future?🤔
Atla
@lvyanghuang thank you! and great q - I think as agents get more powerful & tackle more complex tasks, we envision our critics keeping up, and getting better at flagging precise errors in long-winded and complex traces!
Atla is the only eval tool that automatically surfaces what’s breaking inside AI agents step-level errors, recurring failure patterns, and root causes. Fix issues fast, before users ever notice. Smarter agents start here.
Debugging AI agents isn’t just about finding single bugs. It’s about spotting the patterns that keep slipping through. Atla feels like a real answer to that problem because it shows you where failures repeat and why. That’s the kind of insight that actually saves teams time.