Route chatbot questions to the right AI model automatically

Sends simple questions to a cheaper AI model and hard ones to a more powerful model, automatically.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"chat message received"]:::trig s0["judge question complexity"]:::task s1["send reply to user"]:::task trig --> s0 gx{"× simple or complex question"}:::gate s0 --> gx p00["send to low cost model"]:::task gx -->|"simple question"| p00 p10["send to powerful model"]:::task gx -->|"complex question"| p10 jn{"○ answer generated"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"answer generated by best fit model"/]:::out pay{{"lower ai costs without losing quality"}}:::pay s1 --> 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 stepOne path onlyPaths rejoinResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & Assistants
Connects
OpenAIGoogle Gemini

The problem it solves

Running every chatbot conversation through your most powerful AI model gets expensive fast, even when most questions are simple. You don't want to manually decide which model to use for every single question that comes in.

Who it fits

Businesses running an AI chatbot who want to control costs without sacrificing answer quality.

How it works

  1. A chat message comes in from a user
  2. A lightweight AI quickly judges how complex the question is
  3. Simple questions are sent to a fast, low-cost model
  4. Complex questions are sent to a more powerful model
  5. The chatbot replies with the generated answer
What you get

AI answers staying fast and affordable

You get quick, reliable chatbot answers while your AI costs stay predictable as conversation volume grows.

What you get

A chatbot reply generated by whichever AI model best fits the question, at the lowest reasonable cost.

What you need

OpenAI and Google Gemini API access.

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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