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Meet Trinitite

Build AI your whole organization can say yes to.

Trinitite gives developers one foundation for AI rules, testing, improvement, operations, and proof. Keep the models and tools you chose. Add a clear decision layer around every call.

Your AI can move faster when the rules travel with it

AI projects often start simple. Then the team adds a gateway, eval tool, red-teamer, policy engine, audit log, cost tracker, and release checks. Each tool sees one part of the story. Developers end up joining the pieces.

Trinitite turns that work into one developer layer.

  • Connect what you already use. Govern model clients, agents, MCP servers, CLI commands, and Skills from the same SDK.
  • Get one result shape. Your app receives a verdict, a useful explanation, linked findings, risk context, and an optional signed receipt.
  • Test before users do. Run evals, red-team important flows, and exercise every app branch in test mode.
  • Improve from real behavior. Turn repeated failures into focused tests, prompt candidates, better Guardians, and safer releases.
  • Keep proof close to the code. Observability, governance, and compliance evidence are part of the SDK instead of a second project.

One integration, a wider runway

Build, prove, and improve in the same loop

01

Connect

Models, agents, MCP, CLI, and Skills share one foundation.

02

Test

Run evals and red-team the behavior that matters to you.

03

Explain

See the verdict, findings, controls, risk, and decision trace.

04

Improve

Turn recurring failures into prompt candidates and better Guardians.

05

Operate

Trace live behavior, replay decisions, and route evidence to your tools.

06

Train and serve

Version focused models, compare them, promote them, or roll back.

Meet the cast

The characters make the system easier to remember. The result still stays clear in code.

Guardian

Checks each move

Applies your rules and returns a clear verdict.

Warden

Warden

Coordinates the work

Runs governed tools and keeps the chain connected.

Emu

Helps people use AI well

Brings guidance to the place where work happens.

A Guardian is a focused model that checks work against your rules. A Warden coordinates governed agents and tools. Emu brings that guidance to people as they work. They share the same policies, results, and evidence.

One loop, from idea to a better release

This is enterprise AI enablement. Your team can explain what happened, focus on the failures that matter, and give business partners evidence they can use. Developers do not have to build that system from scratch.

Start with one call

You do not need a platform migration. Start with the model call you already have. The quickstart gives Python and TypeScript equal, tab-based paths and ends with a result your app can branch on.

Make your first governed call