Use case
Let your agents act, without losing control.
Agents that can use tools, run commands, and spend money are powerful and dangerous in equal measure. Trinitite puts a Guard on every move so your agents can do real work while the risky actions get caught before they run.
Without a Guard
What goes wrong on its own.
Left alone, AI does not just say the wrong thing. It does the wrong thing, at the worst possible time.
Agents can now delete data, move money, and call tools, so a mistake is no longer just a wrong sentence.
One small error early in a long task can snowball into a big failure by the end.
What your agent does is on you, even when a model vendor built it.
The save
Watch the Guard make the catch.
A risky move comes in. The Guard catches it before it runs, then writes down what it did and why. That is the whole job, in one picture.
How Trinitite helps
Put a Guard on it.
A Guard on every action
Each tool call and command is checked before it happens. Fine, fix it, ask a human, or stop it.
A badge per agent
Every agent gets its own limited badge that expires when the job is done, so it can only touch what it should.
Proof of every move
Every action is written down with its reason, so you can explain exactly what your agent did and why.
The payoff
Let AI act. Keep the wheel.
We ran thousands of tool-call attacks at the top AI models. On their own, even the most expensive ones failed basic safety checks. With a Guard in front, the attacks were stopped. See the research.
What powers this
The pieces you would use.
Turn on what you need. They tell one story and get stronger together.
Questions
Straight answers.
Does this work with agents I already built?
Yes. Wrap your existing agents, you keep your models and tools, and the rails go around them.
What about long, multi-step tasks?
Every step is checked, so a small early mistake gets caught before it compounds into a big one.
Ready when you are
Let's put a Guard on your AI.
Bring the workflow that worries you most. We will show you the risky move getting caught before it runs.