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.
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.
What’s the weirdest thing your agent has done in production? The team and I are in the comments all day. 🚀
About BotGauge on Product Hunt
“The trust layer for your agents ”
BotGauge launched on Product Hunt on October 28th, 2026 and earned 209 upvotes and 34 comments, earning #3 Product of the Day. 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.
On the analytics side, BotGauge competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how BotGauge performed against the three products that launched closest to it on the same day.
Who hunted BotGauge?
BotGauge was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of BotGauge including community comment highlights and product details, visit the product overview.
Ben Lang
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. 🚀