Send each AI request to the cheapest model that can handle it

Automatically decides which AI model handles each task, balancing speed, quality, and cost, then tracks results to keep improving.

How the work actually flows

It repeats. Exactly one path is taken; repeats weekly review updates routing rules.

Pattern: Exclusive Choice (4) · Structured Loop (21)

flowchart TD trig>"ai request received"]:::trig s0["classify incoming request"]:::task s1["check cost speed quality rules"]:::task s2[("log performance and cost")]:::store s3["weekly review adjusts rules"]:::task trig --> s0 s1 --> s2 s2 --> s3 gx{"× how complex is the task"}:::gate s0 --> gx p00["route to cheaper model"]:::task gx -->|"simple task"| p00 p10["route to capable model"]:::task gx -->|"complex task"| p10 jn{"○ continue to logging"}:::gate p00 --> jn p10 --> jn jn --> s1 lp{"runs on a weekly schedule"}:::gate s3 --> lp lp -. "weekly review updates routing rules" .-> s1 lp -->|"finished"| out out[/"requests routed to cost effective model"/]:::out pay{{"lower ai costs without sacrificing quality"}}:::pay 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 stepA record or sheetOne path onlyPaths rejoinRepeat or finishResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsSpreadsheet & Database OpsAPI & Webhook Integration
Connects
Anthropic ClaudePostgreSQL

The problem it solves

If your business runs on AI-powered tools, every request either goes to an expensive top-tier model whether it needs it or not, or someone manually decides which model to use and gets it wrong sometimes. Costs creep up and nobody has a clear picture of what's actually working.

Who it fits

A business running its own AI-powered product, tool, or internal assistant that needs to control AI costs.

How it works

  1. When a request comes in, the system reads the task and figures out what kind of work it is
  2. It checks your rules for cost limits, speed requirements, and quality needs
  3. It sends simple tasks to a smaller, cheaper model and harder tasks to a more capable one
  4. It logs how long each request took, what it cost, and whether it succeeded
  5. Once a week, it reviews that history and quietly fine-tunes the routing rules to save more
What you get

AI spend trimmed without you tuning it

You get every AI request automatically routed to the model that balances speed, quality, and cost for that specific task.

What you get

Completed AI responses routed to the most cost-effective model, plus a running record of performance and spend.

What you need

An Anthropic Claude API account and a database to store routing rules and performance 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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