Automatically rename confusing steps in your automations

Uses AI to rewrite unclear step names in your automations so anyone on your team can understand them at a glance.

How the work actually flows

A straight line. Runs once per each step in the automation.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("you choose automation to clean")):::human s0["read steps and settings"]:::task s1[["AI writes step names"]]:::mi s2["verify all steps renamed"]:::task s3["apply new names to automation"]:::task trig --> s0 s0 -->|"one per each step in the automation"| s1 s1 --> s2 s2 --> s3 out[/"relabeled automation with clear names"/]:::out pay{{"easier handoff and team understanding"}}:::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
A stepRuns once per itemA personResultPayoff
Build size
Advanced

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

Business functions
Survey & Feedback
Connects
OpenRouter

The problem it solves

When automations get built quickly, the individual steps often end up with generic labels that mean nothing to anyone but the person who built them. Months later, even you might not remember what each step actually does, and handing it off to someone else means explaining everything from scratch.

Who it fits

Operations teams and agencies who maintain a growing library of internal automations.

How it works

  1. You choose the automation you want cleaned up
  2. The automation reads every step, its settings, and how it connects to the rest
  3. AI writes a clear, descriptive name for each step
  4. The automation checks that every step got a new name before applying changes
  5. The automation is updated with the new names, with a link to the old version kept for reference
What you get

Automation steps anyone on your team can read

Confusing step names across your automation library get rewritten clearly, with the original kept for reference.

What you get

A relabeled version of your automation where every step name explains what it does.

What you need

Your automation platform account and an OpenRouter API key.

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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