docs: add QUICK_REF + workflow OS + 2026Q1 roadmap
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docs/WORKFLOWS/ANALYZE.md
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docs/WORKFLOWS/ANALYZE.md
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# Workflow: ANALYZE
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_Last updated: 2026-01-29 (Mario)_
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## Goal
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Explore results + generate insights.
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## UI
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- Results overview
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- Insights bank (generate HTML artifacts)
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- Claude-assisted interpretation
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docs/WORKFLOWS/CREATE.md
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docs/WORKFLOWS/CREATE.md
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# Workflow: CREATE (Study Creation)
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_Last updated: 2026-01-29 (Mario)_
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## Goal
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Create a new study via the **Create Wizard**:
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Files → Introspection → Context → Draft → Interview → Validate → Publish
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## Source of truth
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- Draft spec (local): browser storage
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- Published spec: `atomizer_spec.json`
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## Outputs required (DoD)
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- `atomizer_spec.json` (published)
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- `README.md` (auto-generated)
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- Study folder structure created
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## Key rules
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- Don’t ask user for info we can introspect.
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- Ask only gap questions.
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- Canvas is validation (gimmick), not the authoring source.
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## See also
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- PKM: TECH-SPEC-Create-Wizard-Blueprint
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- PKM: TECH-SPEC-Canvas-Study-Sync
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docs/WORKFLOWS/DELIVER.md
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docs/WORKFLOWS/DELIVER.md
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# Workflow: DELIVER
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_Last updated: 2026-01-29 (Mario)_
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## Goal
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Package everything for client delivery:
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- report
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- optimized model files
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- optional insights html bundle
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- optional DB/logs
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## Also
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Archive study + capture learnings in LAC.
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docs/WORKFLOWS/REPORT.md
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docs/WORKFLOWS/REPORT.md
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# Workflow: REPORT
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_Last updated: 2026-01-29 (Mario)_
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## Goal
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Generate client-ready artifacts:
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- Markdown
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- HTML
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- PDF (Atomizer branded template)
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## Notes
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Report generation should be deterministic, with Claude optional for narrative additions.
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docs/WORKFLOWS/RUN.md
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docs/WORKFLOWS/RUN.md
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# Workflow: RUN
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_Last updated: 2026-01-29 (Mario)_
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## Goal
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Start and reliably track long-running optimizations.
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## Requirements
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- Published `atomizer_spec.json`
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- Backend can start/stop processes safely
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## UI
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- Live status + progress
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- Convergence
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- Best trial summary
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- Safe stop
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docs/WORKFLOWS/VALIDATE.md
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docs/WORKFLOWS/VALIDATE.md
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# Workflow: VALIDATE
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_Last updated: 2026-01-29 (Mario)_
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## Goal
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Give the user confidence that the study will run correctly:
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- correct model chain
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- DV bounds sane
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- objectives/constraints correctly sourced
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- spec is runnable
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## Primary UI
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- Checklist + Parameters table
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## Secondary UI
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- Canvas visualization
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## Outputs
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- Validation report (errors/warnings)
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- "Ready to Run" state
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