Use case · Harness Engineering
The Harness Engineering Platform
Harness engineering is the discipline that makes AI agents trustworthy in production — the constraints, rails, verification, and feedback loops that separate a demo from a system you can run your business on. This is that platform.
Deterministic routing rules enforce what agents do — they don't ask and hope
Skill-bounded agents operate within a defined capability boundary, never above it
Governance gates verify every output before it acts
Feedback correction detects drift structurally and corrects it over time
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No credit card. Set it to Review or Autopilot whenever you're ready.
See it run
Watch the harness govern an agent end to end
Get help building it
See the harness architecture, live
A live walkthrough of routing rules, skill boundaries, governance gates, and autonomy tiers — the components that make it trustworthy in production.
How it works
Why the name is an architectural statement
A harness, in the engineering sense, channels raw, non-deterministic power into controlled, purposeful output. It's the difference between a force that's impressive and a force that's useful.
The harness is the platform
Not a feature bolted onto raw AI. The complete set of components that channels non-deterministic power into controlled, purposeful output.
Autonomy tiers as hard limits
What runs automatically, what surfaces for review, and what requires approval are architectural limits, not policy suggestions.
Trustworthy by construction
The question every serious operator asks is how they know it won't go off the rails. The harness enforces the rails. The AI cannot exceed them.
A harness that improves with the business it runs
When outputs drift from expected quality, the system detects it structurally and corrects. It gets better the longer it operates.
Trustworthy AI starts with the harness.
Set it to Approve, Review, or Autopilot. The harness enforces whatever you choose.
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