Automatically route customer questions to the best AI model

An AI router reads each question and sends it to the model best suited for speed, reasoning, coding, or search.

How the work actually flows

It branches. Exactly one path is taken.

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

flowchart TD trig>"customer sends a message"]:::trig s0["classify question type"]:::svc s1["return model's answer"]:::svc trig --> s0 gx{"× type of question"}:::gate s0 --> gx p00["send to fast model"]:::task gx -->|"quick chat"| p00 p10["send to specialist coding model"]:::task gx -->|"coding question"| p10 p20["send to research model"]:::task gx -->|"research question"| p20 jn{"○ receive chosen model's reply"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"answer matched to question type"/]:::out pay{{"better answers without overpaying for AI"}}:::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 itAn outside serviceOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & Assistants
Connects
OpenAIAnthropic ClaudeGoogle GeminiPerplexity

The problem it solves

You waste money running every question through an expensive AI model, even the simple ones. And when a request actually needs deep reasoning, coding help, or live search, a lightweight model gives you a weak answer.

Who it fits

Businesses running an AI chatbot or assistant that needs to handle a wide mix of question types well.

How it works

  1. A message arrives in the chat
  2. AI reads the question and decides what kind of request it is
  3. The system sends it to the model built for that job, whether that means a fast model for quick chat, a specialist for programming questions, or a research-capable model for search queries
  4. The chosen model writes the response
  5. The person receives an answer suited to their question, without paying for an overpowered model every time
What you get

Questions matched to the right model

You get every chatbot question routed to the AI model best suited to answer it well, every time.

What you get

A tailored AI-generated response matched to the type of question that was asked.

What you need

Accounts with OpenAI, Anthropic, and Google AI, connected to a chat interface.

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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