# Knowledge Workers

- **Event:** [Built with Opus 4.6: a Claude Code hackathon](https://cerebralvalley.ai/e/claude-code-hackathon)
- **When:** Feb 10 at 12:00 PM – Feb 17 at 10:00 AM (EST)
- **Where:** Location TBA
- **Team:** [Ankit Maloo](https://cerebralvalley.ai/u/ankitm)
- **GitHub:** https://github.com/ankitmaloo/claudehack
- **Demo video:** https://www.loom.com/share/444e2503d7604893834446c41dd1ddf5
- **Gallery:** https://cerebralvalley.ai/e/claude-code-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/claude-code-hackathon/hackathon/gallery/97

KW (Knowledge Workbench) is a browser-native OS for actual real world *knowledge work*. It’s built for messy, ambiguous tasks where the hard part is framing, tradeoffs, and verification, not just running through a workflow autonomously.
What makes it different from “knowledge work = code
- No single correct output: it produces *options + rationale*, not “the answer.” when in explore mode
- Framing is first-class: it generates a brief and assumptions up front because the problem statement is usually the bug.
- Rubric-driven verification: it grades work against a rubric that the main orchestrator can’t see (prevents self-justifying / goalpost-moving).
- Gap-finding as a feature: it actively surfaces what you didn’t consider - often the real value for managers.
- Checkpointable workflows: you can rerun from a prior state like an investigation trail, not just a chat log.

Workflow (brief → rubric → subagents → verify → revise)

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Markdown version of https://cerebralvalley.ai/e/claude-code-hackathon/hackathon/gallery/97. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt