Answer questions about an API by chatting with its documentation

Ask a question in plain English and the AI searches the API documentation to give you an accurate, sourced answer.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("user asks a question")):::human s0["search documentation for relevant sections"]:::svc s1["AI reads sections"]:::svc s2["writes sourced answer"]:::svc trig --> s0 s0 --> s1 s1 --> s2 out[/"accurate sourced answer to question"/]:::out pay{{"saves time searching documentation manually"}}:::pay s2 --> 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
An outside serviceA personResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAG
Connects
OpenAIPineconeGitHub

The problem it solves

Your team wastes time digging through long, technical API documentation just to find one answer or a code example. New hires and non-technical staff especially struggle to find what they need, so questions end up bouncing to whoever remembers the docs best.

Who it fits

Teams building on a public or internal API who want a faster way to find answers than reading documentation manually.

How it works

  1. The documentation is broken into chunks and turned into searchable data ahead of time
  2. You ask a question in a chat window
  3. The system finds the most relevant sections of the documentation
  4. AI reads those sections and writes a clear answer, including code examples when useful
What you get

Answers sourced straight from the documentation

You get accurate, sourced answers to API questions pulled straight from the documentation, without digging through pages yourself.

What you get

A direct, accurate chat answer to your documentation question, pulled from the real source material.

What you need

An OpenAI account and a Pinecone vector database account.

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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