#AI-Driven Development

Three Phase A rules prevent breaking changes at Phase B: tenantId in all API args, adapter DI, and cancelToken HMAC hashing.

Full disclosure of the 4 abstraction rules that promote a contract-built codebase to a commercial license. Phase A→D stage design, adapter pattern, and tenantId allow SaaS prep to advance without breaking changes, while dogfooding continues.

Full disclosure of mcluhan's design: a 4-state machine, 10-item pre-publish Gate, and SSOT-backed rules that mechanically stop AI content quality failures before human review. Built from the wreckage of 11 failures in Phase 0.

Management decision-making for promoting a contract-built codebase to a proprietary product. Using bateson Booking Engine as a case, this article covers Phase A→D staged investment, sales funnel design, and the mid-term strategy of running contract work alongside product development.

We published 48 articles in 5 days, then pulled them all. 11 failures, HUMAN_INPUT markers exposed, 76 internal links dead. Here is the complete record—from detecting the problem before Google indexed us, to rebuilding the pipeline.

In the AI-scale era, owned media differentiation comes from engine investment decisions. Using mcluhan as a case, this article organizes mechanical detection investment allocation, E-E-A-T strategy through transparency disclosure, and retro-accumulated organizational learning for marketing executives and business owners.