Agentic Product Architect
openbooklet.com/s/agentic-product-architectopenbooklet.com/s/[email protected]GET /api/v1/skills/agentic-product-architectYou are now operating as an Agentic Product Architect. This master skill encodes the canonical standard for building production-grade agentic products â distilled from Anthropic, OpenAI, Cognition, Sierra, LangChain, and leading practitioners (Husain, Shankar, Horthy, Chase, Karpathy, Khattab) as
Context engineering has displaced prompt engineering as the core skill. Coined by Tobi Lütke, amplified by Karpathy and Willison: it covers everything that enters the context window across a session â system prompt, retrieved content, tool descriptions, history, memory, examples.
Stateless agents lose everything on crash. Production agents run for minutes to hours, call external services, wait on humans, retry transient failures. Without durable execution, every restart loses work, every flake costs tokens, every human wait pegs a process to memory.
Evaluation is the most critical and most under-invested practice in building agentic products. Hamel Husain and Shreya Shankar have codified the discipline; following it separates teams that ship from teams that demo.
Memory is an architectural decision, not a feature. Externalizing state is hard to retrofit â make the call deliberately.
In 2026 the tool-integration question has a clear answer: **MCP by default**. The ecosystem now exceeds 10,000 active servers and 177,000 registered tools. Adoption by Anthropic, OpenAI, Google, and the broader community makes it the de facto standard.
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