
Week 2 of AI Systems: Models, Harnesses and Agents. Why two tools that can make the same edit can set a model very different problems: tool contracts, trajectories, the failure points in tool use, capability versus elicitation, and why the error a tool returns is half the interface.
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Smart Brevity 8: Train the decision point: when to stop thinking, which harness to borrow, which model to call

MailDump 12: Hairdressers, Hiring Data, and the Fence Around the Model

Smart Brevity 7: Score the net, not the gross: memory, training data, and benchmarks judged against the plain baseline

MailDump 11: Thirteen Out of One Hundred
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