Trust is a well defined agent with datasets, evals, and a review process.
Connect your workflows and agents with evaluation data, human judgment, and production feedback, so every release is grounded in evidence before it ships—and monitored once it’s live.
The real problem
Dependable agents require a well-defined workflow, reliable context, handled edge cases, and a shared definition of “good.”
- Define defects in workflow terms01
Name the decisions and outcomes that count as failures.
- Build a representative evaluation dataset02
Cover common paths, risky edge cases, and missing context.
- Gate releases with offline evals03
Measure every candidate before it reaches production.
- Put humans on ambiguous cases04
Route high-risk decisions to reviewers with the right context.
- Monitor live traces and feedback05
Turn production defects into new examples, tests, and fixes.
Every failure should teach the system something
The agent improvement loop.
Reviewers focus on examples that matter. Evals protect what already works. Production tells you what to improve next.
Selected stage / 01
Problem + success
Choose one valuable workflow. Map the users, constraints, risks, and what success must look like in the real world.
Success contract
JobResolve the request safely
Success≥ 92% critical-case recall
Guardrail0 unsupported actions
OutputA scoped job and measurable success criteria
We’re opinionated
Principles for dependable agents.
Start with the problem to solve & job to be done
Architecture follows the problem, the job to be done, the users, the cost of being wrong.
Evaluate behavior, not (just) vibes.
Define quality with examples, evidence, and repeatable checks. Also evaluate a little bit with vibes.
Put humans where judgment matters.
Human review is part of the system, offline and online.
Earn complexity.
Use the simplest system that can do the job reliably and evolve with evidence. Learn from best practices, and from first principles.
Build for handoff from day one.
Your team should understand, operate, and extend what we build.