Turn your documentation into an AI expert chatbot

Builds an AI assistant that only answers using your own documents, so responses stay accurate and on-topic.

How the work actually flows

A straight line. Runs once per each document chunk.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("user starts indexing process")):::human s0[["index documentation content"]]:::mi s1["search relevant chunks"]:::task s2["generate grounded answer"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"accurate answer grounded in documents"/]:::out pay{{"reliable self-service without hallucination"}}:::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
A stepRuns once per itemA personResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGCRM & Sales PipelineWeb Scraping & Data Collection
Connects
Google Gemini

The problem it solves

Your documentation is thorough, but nobody has time to read through it every time a question comes up. General AI chatbots make things up or give generic answers that don't match your actual content.

Who it fits

A business with detailed documentation, policies, or product guides that wants a reliable, fact-based Q&A assistant.

How it works

  1. You first run a one-time process that reads through all your documentation
  2. It breaks the content into small chunks and creates a searchable index of each one
  3. When someone asks a question in the chat, the assistant finds the most relevant chunks
  4. AI reads only those chunks and writes an answer grounded in your actual content
  5. The person receives an accurate answer instead of a guess
What you get

Questions answered instantly from your own documents

Anyone with a question gets an accurate, instant answer pulled straight from your documentation, any time of day, without searching through pages.

What you get

A chat assistant that answers questions using only your own documents, with no invented information.

What you need

A Google AI API key for Gemini.

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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