Product: The Harness Factory

Where AI Becomes Reliable.

Not a chat window. A structured pipeline. Every step has a purpose, every output feeds the next, every exception is handled.

Why Structure Matters

Raw LLMs are probabilistic. Their outputs vary based on prompt phrasing, context order, and temperature settings. For personal productivity, that's fine. For organizational operations — where consistency, auditability, and compliance matter — it's a liability.

A harness solves this. It defines:

✓ What data enters each step: from previous step, from variables, from shared memory.
✓ What the AI employee is instructed to do: via assigned skills and system templates.
✓ What the output format must be: structured JSON schema, not freeform text.
✓ What happens next: next step, conditional branch, or human review.

Canvas Step Types

Autonomous Step

AI Employee executes without human oversight.

Human Review Step

Execution pauses for human approval/edit.

Conditional Branch

Routes execution based on output values.

Data Ingestion Trigger

Starts the workflow (webhook, schedule, form).