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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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