A 20-part series. 17 posted on LinkedIn. Parts 5 and 6 are live here.
From AI Idea to Production
Read the rest on LinkedIn
A LinkedIn series on taking an AI idea past the demo and into something a regulated company can run, plus shorter posts on how agents should behave.
Read the series on LinkedInRead it here
LinkedIn series · 17 of 20 parts posted
From AI Idea to Production
- Part 1: Should This Even Be an AI Project?
- Part 2: Prioritizing AI Use Cases
- Part 3: Discovery Before Architecture
- Part 4: Choosing the Right Solution
- Part 5: Spec Before Code
- Part 6: Building Beyond the Demo
- Part 7: Testing AI Systems Properly
- Part 8: QA Is Not the Builder Grading Their Own Work
- Part 9: Integration and Dev Environments
- Part 10: UAT Is Where the Real Workflow Appears
- Part 11: Production Readiness
- Part 12: Post-Production Improvement
- Part 13: Progressive Autonomy
- Part 14: Measuring Green-Dollar ROI
- Part 15: Measuring Blue-Dollar ROI
- Part 16: From Pilot to Enterprise Platform
- Part 17: Why Great AI Demos Fail in Production
Posts on how agents should behave
- Agent permissions: your AI agent should never approve its own actions
- Durable agent runs
- GraphRAG provenance
- Agent memory
- Exception math
A plain-language guide to how I prevent and catch AI hallucinations, with the projects where I built each defense. Read how I keep AI honest
The original posts are on LinkedIn.
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