02 / Private business project

Agent Launch Lab

A model- and runtime-independent reference for permissions, mission contracts, artifact validation, and evidence-backed AI workflows.

  • Python
  • Typed contracts
  • Workflow gates
  • Audit evidence
Verified proof point

The reference workflow blocks undeclared permissions and cannot pass until its required evidence and report artifacts satisfy explicit validators.

Problem

Why this exists

Agent frameworks provide tools and model loops, but business workflows also need enforceable permissions, stable artifacts, validation gates, and a terminal definition of done.

Role

What I owned

Architecture, contract design, reference implementation, workflow example, and tests.

Original contribution

  • Separated mission contracts from runtime handlers so providers and sandboxes remain replaceable.
  • Implemented pre-execution permission checks and deterministic artifact validators.
  • Created an audit record for step, gate, and mission transitions.
  • Built a sanitized research-to-report workflow without network or messaging permission.

System / Architecture

How it works

  1. 01

    Intake defines a bounded objective and structured inputs.

  2. 02

    Mission contracts declare steps, permissions, artifacts, and validators.

  3. 03

    Runtime handlers perform work without controlling promotion.

  4. 04

    Gates and audit evidence determine whether the run passed.

Limits

What this does not prove

  • This is a compact reference implementation, not a distributed workflow service.
  • Production model, sandbox, identity, persistence, and observability adapters remain external.

Inspect the work

See the artifact, not just the claim.