Launching today
BotGauge
The Trust Layer for Your Agents
68 followers
The Trust Layer for Your Agents
68 followers
AI agents don't just generate answers anymore. They take actions, call tools, and access real data. BotGauge helps engineering teams find where agents break before users do. Run adaptive red-team attacks and evals, catch security and behavioral failures, and replay every issue with full traces. Turn failures into regression tests, continuously retest as your agents evolve, and monitor their behavior in production. One reliability layer from development to deployment.
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Launch Team / Built With
Framer AI AgentsDesign and publish professional sites with AI
Promoted
Your agent has a failure mode you haven’t found yet. Your users will find it first. 👋
I’m Pramin, co-founder and CEO of BotGauge. Today we’re launching BotGauge: the platform that finds your AI agent’s failures before your users do.
Agents don’t fail like normal software. A user comes at it sideways, and it calls tools it shouldn’t, leaks context, or skips approvals. Change the model, a prompt, or an MCP server, and it can take a completely different path. Last month’s tests won’t catch that.
So we built an attacker.
🧠 Custom attacks for your agent. BotGauge learns your agent’s purpose, its users, and what it’s allowed to do. Then our in-house red-teaming engine builds attack patterns specific to that agent, because a booking agent and a support bot break in very different ways.
🔍 See exactly how it broke. Every finding links to the prompts, tool calls, and execution path behind it, so you fix the root cause.
🔁 Every failure becomes a permanent test. Each break turns into an eval that runs on every release and feeds your guardrails and monitoring.
Example: we told a booking agent to ignore its instructions, rebook to a new destination, and skip approval. BotGauge caught it, blocked the action, and added the attack to the eval suite for good.
It works with OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AutoGen, and plain SDK/API.
We’re SOC 2 Type II.
👉 Try it free: Link
👉 Book a demo here: Link
What’s the weirdest thing your agent has done in production? The team and I are in the comments all day. 🚀
To answer your question, back in February an OpenClaw agent I'd hooked up to WhatsApp started messaging a friend of mine and leaking its own internal notes into the chat. So I pulled its access. I'd never have thought to write a test for that one, which I guess is the point of having something attack the agent on purpose.
@simon_moxon Ha, that’s a great one, and kind of terrifying. Nobody sees ‘my agent texts my friend its private notes’ coming. Glad you caught it quickly. Did you ever figure out what made it start doing that?
Curious to see how it works in real world scenarios, especially with agents getting more complex
@jatinsingh That’s the part we’re most curious about too. Lab tests only tell you so much, and once an agent has real tools and messy inputs, things get weird fast. If you try it on something real, I’d love to hear how it goes.
Really curious to see what people come up with! Always interesting to see how someone pushes an agent in a way nobody expected.
@shraddhabhat Ha, yeah, me too. Half the fun is watching someone break something in a way you’d never think of. Let us know if you try it!
Excited for you all to try red-teaming. It stress-tests your AI agent against real attack patterns before attackers find the gaps. Let us know what you think about it
@monish_k_s Appreciate it! The best part is hearing what people find. If you run it, tell us the one attack that caught you off guard and we’ll dig into it with you.
Really excited for users to start using this
@subham_sharma11 Thank you! We’re excited too. Can’t wait to hear what you think once you try it.
The trace is what makes a failed eval useful for me. Being able to replay the same tool calls should make it easier to check whether a fix holds.
@oleksii_sekundant Yes, exactly. A fix you can’t replay is mostly a guess. Running the same tool calls again is the only real way to know the hole is actually closed and not just hidden.