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What I Built With The Mullet Method: One Flask App, Multiple Sites
Demonstrate three distinct live websites served by one Flask backend, explain how AI-generated deterministic code and database‑driven routing replace runtime AI for low‑cost scaling.
The Mullet Method: Business rules in the front, AI party in the back.
I’ll show you three completely different websites (see URLs below), then reveal they’re all running on a single Flask backend on a $20/month server. The secret? Use AI in the back to create deterministic, ordinary websites up front - no need to run the AI meter for users.
This is pure show-and-tell:
live sites → single backend reveal → development theory → architectural patterns.
Simple, clean, and focused on the core insight that makes it all work.
What I’ll show:
- Three completely different live websites
- Single Flask backend reveal (one process, one database)
- Development theory: AI in back → deterministic sites up front
- Key architectural patterns that make it work
- Why this approach beats running AI for every user request
Key insights:
- Use AI during development, not during user requests
- Database-driven routing eliminates hardcoded patterns
- Single codebase, infinite customization possibilities
- Super low-cost scaling without AI infrastructure overhead
Claude.AI generated a human-prompted meta-narrative, demonstrating iterative creative AI.
Convention City Seattle: tabbed activity directory featuring interactive Leaflet map.
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