Notes
Field notes on AI strategy & adoption
Short write-ups and working frameworks — evidence over hype. Everything here is non-confidential and free to reuse.
Phased Workflows for AI-Assisted Development
How structuring AI-assisted development into discrete phases — brainstorm, plan, implement, validate — reduces model drift, produces better outputs, and catches critical issues before deployment.
How It's Made: AI Champion Training
A behind-the-scenes look at how I built a research-backed, gamified AI Champion Training platform using ChatGPT, Google NotebookLM, and Claude Code — and why the self-updating mechanism is the real innovation.
Build vs Buy Is About to Flip (Again)
Agentic AI is changing what it costs to build software. For enterprise leaders, that means rethinking the build vs buy decision—especially for contextual tools.
Unstructured Data is Fuel: Preparing for Agentic AI and RAG
Unlock your organization's hidden advantage. Learn why investing in unstructured data is the smartest move to prepare for agentic AI and RAG — and how it can power the next generation of your agentic AI workforce.
AI Strategy for Insurance
A tailored framework for large P&C insurers to deploy generative AI—aligned to business goals, compliant by design, and built to scale.
The Future of Search: The Rise of AI Optimization (AIO)
As AI models reshape discovery, shift from SEO to AIO—optimize for intent, language, and quality, not keywords.