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ThatIf

Should I workflow this?

Find the if
that changes
the answer.

ThatIf is one precision instrument for a recurring question — should you turn this AI task into a reusable workflow? Compare the current way with a proposed way and watch where the answer actually flips.

What you actually get

A live comparison, not a black box.

Each move of a slider re-runs the same comparison engine. The same numbers, the same boundary, the same preferred option — what changes is the assumption.

  1. 01 · Input

    Your numbers

    Frequency, useful lifetime, the current way, one or more proposed ways. Defaults are visibly illustrative.

  2. 02 · Comparison

    Cost & boundary

    Per-option total over the horizon, the point where the preferred option flips, and the states immediately below and above it.

  3. 03 · Next step

    A defensible move

    What to do now under the current state, and what observation would actually change the answer.

How a single move changes the answer

You change one assumption. The engine recomputes.

Step 1

Set the question

A recurring AI task. Pick the current way (the baseline) and the way you're considering.

Step 2

See the result

The modeled time cost over the horizon, the preferred option, and the boundary where the preferred option would flip.

Step 3

Change one variable

Move frequency, repair time, or setup. The verdict updates. The preferred option may flip if a boundary is crossed.

What this is — and is not

Honest about its limits.

It is

  • A time-cost comparison between two named ways of doing a recurring job.
  • A boundary finder — the exact value at which the preferred option changes.
  • A defensible move under held-fixed assumptions.

It is not

  • A prediction of whether the workflow will succeed.
  • Permission to delegate consequential judgment to a tool.
  • A quality, safety, or vendor evaluation.

A filled form does not establish acceptable quality, safe delegation, or that a workflow is worth building. The instrument shows where the answer flips under held-fixed assumptions; it does not propagate uncertainty through distributions.

Take the next step

Open the tool with the illustrative example.

The example above is the same state the tool starts in. Move any slider and watch the boundary line travel.

Open the tool →