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You're reading the raw AI draft — the version before the skill ran.

AI output is prolific, verbose, and confusing. Here's how you make it make sense.

Introducing make-it-make-sense — an editor's procedure that gets AI output understood on the first pass.

AI is graded on looking complete. Your reader grades on understanding.

AI is built to be exhaustive; readers want only what's relevant to them. This whole page is written twice to show that gap — flip the toggle in the corner to read the raw AI draft, then the edited version.

What AI optimizes for

  • Every slot filled
  • A confident tone
  • All the work on display

More detail reads as more diligence — to the author.

What a reader rewards

  • The point in seconds
  • The right depth for them
  • Numbers they can trust
  • Prose they can hear

I built make-it-make-sense as the conversion layer between the two — the editor the draft never had.

Watch the skill run on a real draft.

The toggle shows before and after. This shows why. Step the four passes — watch each one catch its own kind of problem.

Unlock the Full Potential of Your AI Output: A Deep Dive Into Make It Make Sense. In today's fast-paced landscape, it's important to note that AI-generated content, while impressive, often tends to be quite verbose, dense, and packed with detail. This isn't a fluke — it's simply how these models are designed to operate. That's where the powerful make-it-make-sense skill comes in, seamlessly leveraging a comprehensive multi-pass editorial procedure to elevate your content. In fact, studies show readers form an impression in just 50 milliseconds. Below, we'll take a deep dive into everything you need to know.

Frame — Named the reader: someone who prompts AI and skims once. Every cut below aims at them.

Pass 1 · Substance — Struck the defensive "isn't a fluke." Cut the "50 milliseconds" stat — unsourced, and it decides nothing.

Pass 2 · Structure — Killed the colon-hook title and the buzzwords (unlock, deep dive, elevate). Led with the answer instead of burying it.

Pass 3 · Line — Cut the throat-clearing ("it's important to note") and filler ("everything you need to know"). Smoothed for read-aloud.

Cold read — A stranger gets it in seconds: AI gives you too much; this trims it to what lands, without breaking what's true.

How make-it-make-sense works

make-it-make-sense follows a proven process to edit AI output for clarity, simplicity, and human-readability. First, it frames who the intended reader is, then it works the piece in separate editing passes.

The draft goes in →

FrameReader stated in one line.
SubstanceEvery figure reconciles, or it's flagged.
StructureHeadings alone tell the story.
LineReads aloud with zero stumbles.

Cold read — does the point land in seconds?

Yes → ship it No → loop back to the pass that owns the failure

What each pass does.

Frame the reader

Who is this for?

  • Infer the reader from the draft's signals
  • State it in one visible line
  • Ask only on a genuine fork

Pass 1 · Substance

True, backed, right depth?

  • Ask what's missing, not only what's extra
  • Move detail out to an appendix
  • Lead with impact over activity
  • Tie every number to money or a decision

Pass 2 · Structure

Does the shape carry it?

  • Lead with the answer
  • Each heading a plain label or a real claim
  • Kill redundancy; summaries earn a different altitude

Pass 3 · Line

Reads smoothly out loud?

  • Check every referent after a cut
  • Break run-ons without stuttering
  • Cut filler; keep process out of the deliverable

The model writes the draft. You can make it make sense.

Every AI output is a first draft, built to look thorough. The prompt gets you the raw material; the editor's pass — the step the model skips — is what makes it land. Run it yourself, or run the skill that runs it for you.

Run it on your next draft.

make-it-make-sense is a free Claude Code skill. Add the marketplace, install, and call it by name.

/plugin marketplace add jonstermash/mims-public
/plugin install make-it-make-sense@mims-public
/make-it-make-sense

Reading the edited version — flip to see the raw AI draft.