🛠️ Bring Your Use Case — We'll Build the Governance Solution With You

[nagasatish007]

We're looking for developers and platform teams who are deploying AI agents in production and hitting governance pain points.

The offer is simple: Tell us your use case, and we'll work with you to implement a governance solution using TealTiger — for free, hands-on, no strings attached.

What we're looking for

Real scenarios like:

"My agent calls tools it shouldn't and I have no way to restrict it"
"I need an audit trail of what my agent decided and why"
"API costs are unpredictable and I can't set per-agent budgets"
"Secrets keep leaking into prompts and I catch them too late"
"I need to prove to compliance that my agent operated within policy"
"My agent persists memory and I don't know what's safe to store"
"I'm running multi-agent chains and have no visibility into what's happening"

What you get
Direct implementation support from the maintainers
A working governance setup tailored to your stack (TypeScript or Python)
Your use case shapes the roadmap — if we're missing something, we'll build it
Full open-source, Apache 2.0 — no vendor lock-in, no sales pitch

What we get
Real-world feedback from practitioners
Validation that the abstractions work outside our own heads
Use cases that make the documentation better for everyone
How to participate
Drop a comment below describing:

What your agent does (high level is fine)
What governance problem you're hitting
Your stack (LangChain, CrewAI, MCP, direct SDK, etc.)
We'll follow up directly and pair on implementation.

No use case is too simple. "I just want to stop my API key from appearing in logs" is a perfectly valid starting point.