Building AI agents is getting easier. Making them work is harder.
AI agents are moving quickly from experiments into real work, but building an agent is only part of the challenge. Teams and organizations need to know they can trust what agents do, work with them without adding more complexity, and understand whether they’re actually delivering value.
Why We Built Flint AI
Agents are getting more capable, but the way we build and work with them hasn’t caught up.
An agent that aced the demo can fail in production. Agents often operate separately from the people and other agents they need to work with, and even when they work, it can be surprisingly difficult to tell whether they’re making a meaningful difference.
We think developers and teams need better tools for all three.
What We Believe
Agents should earn trust through evidence, not promises.
They should be able to work with people and other agents in the tools teams already use, without forcing everyone into a new platform or locking them into one AI provider.
And as agents take on more work, teams should be able to see what they’re accomplishing and whether they’re worth the investment.
That thinking shapes everything we build.
What We're Building
We’re starting with tools developers can use today.
Flint CLI gives developers evidence that an agent is ready to ship. Scan agent code for security risks and misconfigurations, run adversarial evaluations, and get concrete findings and reliability scores. It’s free, open source, and framework-agnostic.
Switch brings the agents you already use into shared rooms with people and other agents across tools like Slack, Microsoft Teams, Discord, and Telegram. It’s free, open-source, and vendor-agnostic, so you can work with the agents, models, and tools you choose.
And we’re building the Flint AI platform to extend that foundation across the agent lifecycle, helping teams discover agents, continuously evaluate them, resolve issues, and understand the value they deliver.
The goal is simple: give developers and teams better ways to trust their agents, work with them, and prove their value.
Because the future of AI won’t be determined by how many agents we build. It’ll be determined by what they can actually do.
Get more from every agent.
Prove any agent is safe to ship.
