Track how many AI tokens your automations are using

Adds up token usage across your AI models after each run, so you can see exactly what your AI is costing you.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"AI workflow run completed"]:::trig s0["look up token usage"]:::task s1["sum usage across AI models"]:::task s2["generate cost breakdown summary"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"token usage breakdown by model"/]:::out pay{{"visibility into AI spending drivers"}}:::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
Starts itA stepResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsReporting & Analytics
Connects
OpenAIGoogle Gemini

The problem it solves

If you're running AI tools like chatbots or automated agents, it's hard to know how much you're actually spending until the bill arrives. Without visibility into which model or task is using the most tokens, you can't tell what's driving your costs or catch a runaway process early.

Who it fits

Business owners and operators running AI-powered chatbots or agents who want visibility into usage and cost.

How it works

  1. This runs automatically at the end of an AI-powered workflow
  2. It looks up the token usage recorded for that run
  3. Usage is added up across every AI model involved, like OpenAI or Gemini
  4. You get a summary of total tokens used, broken down by model
What you get

AI costs you can see after every run

You get a clear breakdown of how many AI tokens each of your automations used, broken down by model, after every run.

What you get

A breakdown of AI token usage by model for a given run, so you can see what's driving your AI costs.

What you need

Accounts with the AI providers you use, such as OpenAI and Google 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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