Agently Docs

Agently documentation for building AI applications with stable outputs, observable actions, and durable workflows.

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Playbooks

Languages: English · 中文

A playbook answers a higher-level question: I have this kind of problem — which Agently capabilities should I combine, and how? Each playbook references the underlying layer pages but stays opinionated about a specific scenario.

If a playbook’s scenario doesn’t match yours, fall back to the Capability Map to find the right layer.

Available playbooks

Playbook Use when
TriggerFlow Orchestration A multi-step process needs branching, fan-out, or pause/resume — and you want a structural template
Ticket Triage Classify incoming items, pick a route, hand off — a common “structured input → structured output → action” shape

Why playbooks exist

The other sections of the docs cover one capability per page:

A playbook tells you which combination of those — across requests, sessions, actions, TriggerFlow — fits a real problem. They sit one level above the layer pages.

What a good playbook looks like

Each page below follows the same shape:

  1. Problem framing — the scenario in plain language, with the parts that hurt naturally.
  2. Recommended structure — a code skeleton or flow diagram showing the pieces in their right places.
  3. Variations — common branches (small vs large traffic, sync vs async, with vs without persistence).
  4. What to skip — capabilities that look relevant but actually aren’t.
  5. Cross-links — pointers back to the layer pages that own each piece.

When you don’t need a playbook

If your problem is “make one model call return a structured object”, you don’t need a playbook — you need Quickstart and Schema as Prompt. Playbooks are for cases where the answer is “combine these three things in this order”.