Challenge
A database optimized only for reproducible procedures made lighter discoveries, questions, play, and failed attempts feel like second-class knowledge.
Discovery system · Phase 2 complete
AI Workflow World
A multilingual discovery environment where light experiments, findings, failures, research, and detailed workflows can grow inside one connected system.
7entry types
7+20parent + child categories
172automated checks passed
Insight
A small post and a detailed workflow are not separate content types. They are different levels of depth in the same evolving artifact, so the permanent identity and URL should survive as it grows.
Build
Seven data-driven entry types, a two-level category system, one progressive form, a mixed discovery stream, verification states that do not rank people, and locale/RTL foundations. Phase 2 reshaped the top page into a five-part discovery journey.
AI roles & human decisions
Concept and constitution → schema and migration → repository boundaries → multilingual interface → E2E audit and repair.
Outcome
Phase 2 is complete: the content model and discovery experience are validated. A public URL and production content rollout are not yet confirmed, so this remains a transparent case study rather than a live-demo claim.
Next
Public content rollout, then the people / AI / activity relationship model planned for Phase 3.
Verification
AI Workflow World
- ✓Typecheck passed
- ✓Lint: zero warnings
- ✓Build passed
- ✓10 files / 172 tests passed
- ✓1280px and 375px
- ✓Arabic RTL checked
Technology
Next.jsTypeScriptTailwindSupabaseRLSMagic Link
Public boundary
This case study omits project identifiers, authentication details, database references, private repository links, and internal paths.
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