- Updated all packages from ai@6.0.23 to ai@6.0.49
- Added pnpm override to ensure consistent version
- Created changeset for publishing affected packages
Transform qualifying scenarios into marketing-ready use cases with:
- AI-generated titles, descriptions, ROI estimates, business value
- Persona/industry/category taxonomy for targeting
- Browseable feed with filtering and ranking
- SEO-optimized case study pages
- Daily cron job for generation and ranking
Database:
- Add Persona, Industry, Category lookup tables
- Add UseCase model with marketing content fields
- Add junction tables for personas/industries/categories
- Add SocialProof model for cached metrics
API:
- GET /api/use-cases - Global directory with filtering
- GET /api/use-cases/[id] - Individual use case details
- GET /api/public/users/[username]/collections/[slug]/use-cases
- POST /api/cron/use-cases - Nightly generation job
Frontend:
- /use-cases - Global feed with persona dropdown
- /use-cases/[slug] - SEO case study page
- /[username]/collections/[slug]/use-cases - Collection feed
- UseCasesFeed component - Sortable table component
- UseCaseCaseStudy component - Full case study layout
- Update all packages to latest versions via pnpm update --latest
- Downgrade Prisma 7 to 6 (v7 requires schema migration)
- Downgrade Tailwind CSS 4 to 3 (v4 requires PostCSS migration)
- Downgrade Storybook 10 to 8 (addons not available in v10)
- Pin cheerio to 1.0.0-rc.12 via pnpm override (type exports changed)
- Fix AI SDK tool definitions: parameters -> inputSchema
- Fix cheerio types in extract-meta and table-extract tools
- Add explicit type annotations to tool execute functions
- Migrate biome config to v2.3.11 schema
All type-checks, tests, and builds pass.
- Fix SkeletonWithRelations type mapping in batch-processor.ts by explicitly mapping only the required fields
- Escape unescaped entities in tutorial pages (apostrophes and quotes)
- Remove unused imports (sql, categories, processingBatches, EnrichedTool, desc)
- Fix drizzle query type by using conditional expression instead of reassignment
- Add null coalescing for JSON fields that could be null
- Update AI SDK usage property names (inputTokens/outputTokens)
- Fix array swap type assertion in shuffle function
- Replace non-null assertions with proper null checks
Traves is da greatest
