Generate and review handbook content with a team of AI agents

A team of AI agents drafts, reviews, and refines handbook content, with a human giving final approval before publishing.

How the work actually flows

It repeats. Repeats reviewer requests changes; runs once per each specialist agent needed; a person has to approve before it continues.

Pattern: Structured Loop (21) ยท Multiple Instances without Synchronization (12)

flowchart TD trig>"content request submitted"]:::trig s0[["orchestrate specialist agents"]]:::mi s1["draft and refine content"]:::task s2(("human reviews content")):::human s3[("store finished document")]:::store trig --> s0 s0 --> s1 hg(("human approver")):::human s1 --> hg hg -->|"approved"| s2 hg -. "sent back" .-> s1 lp{"human approval given"}:::gate s2 --> lp lp -. "reviewer requests changes" .-> s1 lp -->|"finished"| s3 out[/"approved handbook article"/]:::out pay{{"quality content without manual drafting"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemA personA record or sheetRepeat or finishResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsAPI & Webhook IntegrationDevOps & IT OperationsEducation & Training
Connects
OpenAIPostgreSQLGitHubSlackGmail

The problem it solves

Writing and maintaining a detailed handbook or knowledge base takes hours of drafting, editing, and fact-checking. You want quality content without doing every round of revision yourself, but you still need to approve what goes out under your name.

Who it fits

Teams building an internal handbook, training manual, or knowledge base who want AI help with a human final check.

How it works

  1. A request comes in with a topic and starting text
  2. An AI orchestrator decides which specialist writers and reviewers are needed
  3. AI agents draft, summarize, and refine the content in stages
  4. A person reviews and approves the final version before it's saved
  5. The finished document is stored for future reference
What you get

Handbook drafts ready for final sign-off

You get a polished handbook draft written and refined by a team of AI agents, ready for your final approval before publishing.

What you get

A polished, reviewed handbook or knowledge-base article, ready to publish.

What you need

An OpenAI API key and a database, such as PostgreSQL, to store drafts and history.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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