Track cost and performance across all your AI automations

Every time an AI automation runs, the system logs its cost, speed, and output for later review.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"ai automation run completes"]:::trig s0["record the automation run"]:::task s1["pull run details and metrics"]:::svc s2["organize by model cost speed"]:::task s3[("log results to dashboard")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"cost and performance dashboard"/]:::out pay{{"visibility into ai automation spend"}}:::pay s3 --> 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 stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

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

Business functions
Reporting & Analytics
Connects
Langfuse

The problem it solves

Once you have more than one AI automation running, it gets hard to know which ones are working well, which are slow, and which are quietly costing more than expected. Without a record, you are guessing instead of knowing.

Who it fits

Businesses running several AI-powered automations who want visibility into performance and cost.

How it works

  1. After an AI automation finishes running, the system records its execution
  2. It waits briefly, then pulls the full details of that run, including tokens used and response time
  3. The data is organized by model, cost, and speed for each step
  4. The results are logged to a dashboard you can review anytime
What you get

AI spend and speed visible at a glance

Every AI automation run gets logged with its cost, speed, and output so you can review performance anytime.

What you get

A running log of every AI automation's cost, speed, and output, viewable in one dashboard.

What you need

An AI observability account such as Langfuse, connected to your existing automations.

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

Related automations

Track every AI chat conversation's cost and performance automatically

Every message your AI chatbot handles gets logged with cost, speed, and quality details for easy review.

Standard

Monitor and trace your AI chatbot's conversations automatically

Tracks every conversation your AI chatbot has, so you can review quality and catch issues over time.

Standard

Update Hubspot contacts with your lemlist email activity automatically

Every time someone opens, replies to, or shows interest in your lemlist emails, Hubspot updates automatically.

Advanced

Run A/B tested email campaigns tracked in Google Sheets

Sends A/B tested email campaigns from Gmail, tracks results in Google Sheets, and reports progress in Slack.

Advanced
Back to the AI Playbook