Your Prompts Are Discoverable
A federal magistrate ruled AI prompts are discoverable expert methodology. Why your postmortems and vendor reviews are now on the record too....
The E-Signature Audit Trail Is Theater
The e-signature industry has conflated legally valid with cryptographically provable for 25 years. Courts are beginning to notice the difference, and so should you....
The Human Inside Every Humanoid Robot
Humanoid robot companies hide human teleoperation behind impressive demos. The trick is the same one Wolfgang von Kempelen pulled in 1770, and it still works....
The Hidden Costs of AI Calendar Negotiators
AI calendar tools promise to eliminate scheduling friction. But removing that friction removes something valuable: control over your priorities and time....
ChatGPT Health vs. Dr. Google: Same Problem, Shinier Package
OpenAI's ChatGPT Health promises to improve on Dr. Google with AI-powered medical guidance. But 56-72% accuracy isn't good enough when health is on the line....
America's AI Regulation War: States vs. Federal Government
California, Texas and Colorado each passed their own AI laws. A federal executive order now threatens preemption. Who is caught in it....
Why RAG Will Replace Fine-Tuning for Enterprise AI
Fine-tuning creates models that know things. RAG creates systems that look things up....
The Demo-to-Production Gap: Why AI Projects Fail
42% of companies abandon AI initiatives before production, and MIT found 95% of organisations getting zero return on generative AI....
The Test Coverage Lie
Test coverage is a lying metric. 95% coverage with no behavior checks is theater. What to measure instead if you actually care about correctness....
Building Software for Government: What Nobody Tells You
Government procurement is maddening. Security requirements are exhaustive. The pace is glacial....
Agentic AI's 40% Failure Rate: The Correction Nobody Wants
Gartner predicts over 40% of agentic AI projects will be canceled by 2027....
The AI Productivity Paradox: Why Developers Are 19% Slower
METR's randomized controlled trial found experienced developers are 19% slower with AI coding tools. The twist: they believed they were 20% faster....
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