Why 95% of AI Projects Fail, and What "Solve First, Automate Later" Fixes
95% of AI projects fail to reach production. Not because the models are not smart enough. They fail because organisations automate broken workflows and call it transformation.
Writing
Notes from the field
Essays on AI orchestration, enterprise automation, and the gap between vendor promises and production reality.
The AI Industry Has an Operating System, and Most Builders Don't See It
Every AI startup in 2026 is building an application. Almost none are asking the question that actually determines survival: what operating system are they running on, and what happens when it changes?
What 2,000-Year-Old Indian Epistemology Taught Us About Building Better AI
We took the six classical Indian schools of philosophy and asked whether 2,000-year-old frameworks for organising knowledge actually improve modern AI systems. Across 4,400 experimental generations, the answer was unambiguous.