What is Mibo?

Mibo is a testing platform that lets you verify your AI agents and systems are working correctly — without writing a single line of code.

The problem Mibo solves

AI systems are unpredictable. The same question can produce different answers every time. They might call the wrong tools, make up information, or simply give unhelpful responses.

Manual testing doesn’t scale. You can’t click through every possible scenario before each update. And when something breaks, you usually find out from frustrated users — not from a dashboard.

Mibo changes that. It automates the entire testing process so you can catch issues before your users do.

How Mibo works

Mibo follows four simple steps:

1. Connect your AI system — tell Mibo where it lives and how to talk to it. Mibo supports Custom APIs, Flowise, and n8n.
2. Describe what to test — use the Test Architect to describe your system’s expected behavior in plain language. The AI generates the test scenarios for you.
3. Run the tests — Mibo sends real inputs to your system, just like a user would, and collects every response.
4. Review the results — see quality scores, detailed evaluations, and a breakdown of exactly where things went wrong.

Key concepts

Here are a few terms you’ll see throughout Mibo. Don’t worry — they’re straightforward.

Project — Your workspace. Everything in Mibo lives inside a project. Think of it as a folder for one AI system.

Platform — The connection between Mibo and your AI system. It tells Mibo where to send test inputs and how to read the responses.

Test Case — A single scenario you want to verify. For example: “If a user asks about store hours, the agent should respond with the correct schedule.”

Execution — A test run. When you click “Run,” Mibo sends all your test cases to the system and collects the results. Each run is one execution.

Trace — The behind-the-scenes record of what happened inside your AI system during a test. Which tools did it call? What data did it use? Traces let Mibo evaluate not just the final answer, but the entire process.

Who is Mibo for?

• Teams building AI agents who want to ship with confidence.
• Product managers who need visibility into AI quality before releasing updates.
• QA teams looking to automate testing instead of clicking through scenarios manually.