scalable/ai/agentic patterns cph / /
7 lessons · ~90 min

agentic patterns

seven lessons on the shapes that hold up when you're building real agent systems — skills, extensions, personas, handoffs, and the loops and evals that glue them together. framework-agnostic. model-agnostic. the pattern is the point.

last updated
agent loop think act observe personas identity skills capability handoffs next turn extensions middleware

how it works

lessons

  1. 01 what are agentic patterns the shape of the problem. why patterns, not frameworks. the four primitives you'll see in every later lesson. 10m
  2. 02 skills — the smallest unit a tool call plus the prompting, validation, and return-shape glue around it. reusable across agents. 14m
  3. 03 extensions — wrapping the base loop memory injection, retrieval, safety, telemetry. the pattern equivalent of middleware. 12m
  4. 04 personas — identity for agents a bundle of prompt, voice, allowed skills, and guardrails. swap it and the same loop behaves differently. 12m
  5. 05 handoffs — multi-agent composition how one agent passes control to another with just enough context. most 'the agent got confused' bugs live here. 14m
  6. 06 loops — react, reflection, and when to stop the control flow inside a single agent turn. stopping criteria, budget, and failure modes. 13m
  7. 07 evals — knowing the pattern works offline scorecards, trace-based checks, and the gap between demo and production. 15m
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