TLDR Tech / Data
The context engineering playbook
Context engineering is the next analytics engineering: structuring company knowledge so agents can answer natural-language questions reliably. The biggest reliability gains come from clean data models and documentation, taking one agent from 40% to 90% accuracy, while query logs and profiling add limited value. Start with 10–20 high-value tables, test in CI/CD, manage context like a Git repo/markdown-backed source of truth, and add governance for permissions, evals, and token budgets.
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