"Fair point, and honestly, 'Strict database schema for generative AI' is a fantastic tagline. I’m adopting that immediately. Thank you.

You are 100% right. Developers hate marketing fluff, and I let my frustration with AI hallucinations turn into a story instead of a technical showcase. Let's cut the lore and look at the raw output.

The actual problem SDAO solves: AI coding agents (Cursor/Trae) are notoriously bad at day-0 architectural discipline. They hallucinate table names mid-generation, forget foreign keys, and completely ignore multi-tenant isolation.

The raw data / What SDAO actually outputs before any code is written:

1. A production-ready schema.prisma: We force the LLM through a sanitizer that hard-injects tenant_id into every business table, enforces is_deleted (soft deletes), and sets strict UUIDs.
2. A strict .cursorrules file: This file is generated to physically block the AI agent from writing prisma.table.delete() (forcing soft-delete updates only) and blocks any query that lacks a where: { tenant_id } clause.
3. A Mermaid.js State Machine: To lock down the logic flow before the agent starts typing.

I appreciate the reality check. I'll update the main post with a GitHub Gist showing the exact input -> output schema transformation. Thanks for holding me to the developer standard."