A practical 14-day blueprint for turning one validated AI use case into a secure, testable micro-product with measurable outcomes. Start with one painful workflow and a measurable business outcome. Keep scope tight: one persona, one trigger, one successful output. Ship with controls for quality, security, and operability from day one. Many AI projects fail because they start broad, not because the technology is weak. A micro-product approach keeps delivery disciplined and outcome-focused. This blueprint is designed for small teams that need to prove value quickly and safely. Prerequisites One clearly owned business problem. Access to subject matter experts. Basic delivery stack (repo, CI, monitoring). A named product and engineering owner. 14-day plan Days 1-2: Define outcome and scope Choose one workflow with repeated manual effort. Define baseline time, error rate, or cycle time. Write acceptance criteria for success. Days 3-4: Design the minimal archite...
Practical AI engineering guidance on agents, MCP, frameworks, security, ethics, and AI in insurance — implementation-first, production-ready.