Approach
The operating model is straightforward: useful systems, explicit constraints, and no fake signals.
This page translates the research handoffs into a public operating stance: prioritize real use cases, separate strategy from implementation, evaluate systems honestly, and avoid fake local or AI-search tactics.
Use-case discipline
Start with business value and operational fit before committing to a build path.
Implementation realism
Architecture, workflow, ownership, and process fit matter as much as model choice.
Evaluation rigor
Quality criteria, failure modes, and monitoring have to be designed, not assumed.
Search and local honesty
No fake locations, no doorway pages, and no AI-search gimmicks pretending to replace strong content.