Give each agent a job and the work a finish line.
Coordinate four focused role templates with a local dependency-aware runtime that tracks ownership, bounded briefs, evidence, recovery, and review state.
How it actually works
Exactly what it does — and when.
Research checks supplied public facts, Systems identifies prerequisites, Design rewrites the quickstart, and Critic challenges one unsupported claim. Workbench records each candidate and dependency; the maintainer still runs the commands and makes the final acceptance decision.
- Several agents repeat the same task
- Upstream corrections leave stale approvals
- A polished candidate is mistaken for verification
- Start with four copyable role and task templates
- Keep dependencies, dispatches, evidence, and corrections in local state
- Run the demo and 12-stage recovery lab without provider calls
Use it to…
Real ways people run Agent Workbench.
Improve a product explanation
Give source checking, prerequisites, writing, and claim challenge to distinct roles.
Review an API migration
Map dependencies and failure cases before a code owner runs the actual migration checks.
Recover after an upstream correction
Invalidate affected tasks while preserving independent branches in the release-readiness lab.
What's inside
Who it's for
Small teams using several AI tools
need visible ownership and handoffs
Maintainers reviewing public work
need candidates kept separate from acceptance
Operators testing agent coordination
want a local runtime and synthetic examples before live providers
Questions, answered
Ready to put Agent Workbench to work?
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