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An analysis arguing that most AI startups are merely thin wrappers over the same frontier models, shifting the competitive moat from the model itself to distribution, workflow lock-in, and proprietary data.
Anecdote about a martech founder's AI agent demo at JBL highlighting the AI adoption gap, where even tech leaders lack understanding of AI, suggesting AI is being sold to the wrong people.
The author shares insights on building effective agent harnesses: the best ones minimize LLM reliance for trivial tasks and reserve LLMs for complex reasoning, distinguishing genuine harnesses from simple wrappers.
Claude Code's new Dynamic Workflow feature automatically generates a harness on the fly, rendering many existing wrapper tools obsolete.