Day 60: From model demos to mission-ready AI systems
A practical map for moving from impressive AI demos to systems people can trust.
Jul 20, 20263 min read
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Day 59: Why production AI is coordinated infrastructure
Why production AI is the coordination of data, models, tools, controls, evaluation, and people.
Jul 19, 20263 min read
Day 58: Why governance belongs in the architecture
Why governance belongs in the architecture, not in a document after launch.
Jul 19, 20263 min read
Day 57: Why retrieved content must stay untrusted
Why retrieved content must stay data, not become authority over the system.
Jul 18, 20263 min read
Day 56: Why evaluating the model is not enough
Why evaluating agents means measuring the whole workflow users experience.
Jul 18, 20263 min read
Day 55: Why observability is not optional for AI systems
Why production AI needs traces across prompts, context, retrieval, tools, costs, and decisions.
Jul 18, 20263 min read
Day 54: Why multi-agent systems need decision rules
Why agents need arbitration rules before disagreement reaches the final answer.
Jul 17, 20263 min read
Day 53: Why handoffs need contracts
Why reliable handoffs need structured state, evidence, open questions, and ownership.
Jul 15, 20263 min read
Day 52: Why shared memory becomes a permission problem
Why shared memory becomes an access-control problem in multi-agent systems.
Jul 14, 20263 min read