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
Introducing make-it-make-sense — an editor's procedure that gets AI output understood on the first pass.
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
More detail reads as more diligence — to the author.
What a reader rewards
I built make-it-make-sense as the conversion layer between the two — the editor the draft never had.
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.
What's left
AI output is almost always too much. make-it-make-sense edits it back down to what a reader gets on the first pass — without trading accuracy for brevity.
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.
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 →
Cold read — does the point land in seconds?
Frame the reader
Who is this for?
Pass 1 · Substance
True, backed, right depth?
Pass 2 · Structure
Does the shape carry it?
Pass 3 · Line
Reads smoothly out loud?
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.
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.