the archive 1 drops
← back to the feedThis archive provides insights and practical notes on various aspects of enterprise AI, helping professionals navigate the complexities of AI product strategy and implementation.
Every entry is one drop — a short, evidence-first field note from building AI in production. Together they span agent engineering (when to use an agent, how to evaluate and ship one), model economics (what an LLM feature really costs, build versus buy), evaluation and reliability, security and permissions, and enterprise adoption. Browse by topic or by month below, or start with the newest drop. Last updated September 2026.
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