Pragmatic AI for Founders
Mental models, strategy frameworks, and actionable checklists for non-technical founders and product leaders building with AI.
AI Is a Probabilistic Engine, Not a Deterministic One
AI is a probabilistic pattern matcher that requires a deterministic chassis to be reliable, and most value comes from the system around the model, not the model itself.
Prompts as Control Programs, Not Questions
Prompts are control programs that compile a deterministic interface to a probabilistic engine, and the quality of that interface determines whether your AI system is reliable or brittle.
Agents as Three-Layer Systems: Tools, Memory, and Orchestration
Agents are three-layer systems where the LLM is the decision layer, but 80% of the work is software engineering -- design the data layer first, then tools, then orchestration.
Where AI Breaks and The Data Layer Solution
AI fails predictably in two ways -- hallucination and bad retrieval -- and designing your data layer first prevents 80% of production disasters.
Silent Failures and Monitoring AI in Production
The scariest AI failures are silent -- no errors thrown, just slow degradation -- and monitoring drift is the only way to catch them before users leave.
Build vs Buy vs Embed: AI Strategy That Actually Works
Most AI strategy failures come from building when you should buy, buying vendors that can't handle your data layer, or measuring ROI without counting the disasters you prevented.