AI Hallucinations in the Enterprise: The 4.3-Hour Weekly Tax
Knowledge workers spend 4.3 hours per week fact-checking AI outputs. 47% of enterprise users made major decisions based on hallucinated content. The costs are mounting....
Domain-Specific ASR: Why General Models Fail in the Real World
Legal terminology, manufacturing jargon, call center scripts - each requires specialized training. The myth of 'one model to rule them all.'...
The Series A Trap
Series A funding often kills more companies than it saves. The pressure to scale before ready destroys sustainable businesses....
The 10 Architecture Decisions That Kill Startups
The architecture mistakes that kill startups: premature microservices, wrong database choices, god objects, missing observability, and more. Patterns that repeat across failed companies....
The Dot-Com Crash From Inside
First-person account of running Core Logic Software during the 2000-2002 dot-com crash. When the NASDAQ fell 78% and 4,854 internet companies died, what it looked like from inside the ecosystem....
Why I Never Use ORMs
ORMs hide the database until they don't, create performance traps, and solve the wrong problem. SQL is the better abstraction. A contrarian take from 30 years of database work....
The Technical Due Diligence Checklist
A comprehensive checklist for evaluating startup technology: architecture, code quality, infrastructure, team, and security. Based on patterns from evaluating dozens of startups....
Small Language Models Will Eat Enterprise AI
Gartner predicts task-specific AI models will be used 3x more than general-purpose LLMs by 2027. Why latency, cost, and privacy push enterprises toward SLMs....
The Local-First Renaissance
Local-first software puts your data on your device first. The cloud becomes optional. As CRDTs mature, the best apps feel like we've rediscovered something we forgot....
Every Dependency Is Technical Debt
Dependencies are liabilities, not assets. From left-pad breaking the internet to Log4j's endemic vulnerability, every package you add expands your attack surface and maintenance burden....
Why AI Agents Can't Remember (And What's Changing)
Current AI agents don't learn - they retrieve. New research on reinforcement learning for memory could change that. Understanding why your AI agent keeps making the same mistakes....
Computers Are Cheap, Developers Are Expensive
Why premature optimization wastes developer time. The economics of knowing when code is good enough and when performance actually matters....
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