AI Central

How to Convert Cheat Sheet to Deck

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AI Central
Review AI summary

Take rough notes to Claude, take Claude's output to Gamma. That is the whole technique. AI Central's guide splits deck-making in two: Claude expands bullet points into a structured ten-slide outline, then Gamma applies layouts, visuals and branding automatically. The guide puts the saving at 70 to 80 percent of deck creation time. Rough notes are explicitly fine as an input, because clarity gets added in the expansion step, not the formatting step.

Reviewed 7 August 2026. The source is How to Convert Cheat Sheet to Deck, a first-party AI Central guide built around two tools, Claude and Gamma.

Why deck-building is the wrong job for a human

The guide opens by naming its audience with unusual precision. Not marketers, not designers. Team leads, HR and ops, the three functions inside a company that have to produce training material on a recurring basis and almost never have a designer attached to them.

It breaks their time loss into three parts: turning bullet notes into slides, formatting each slide manually, and ensuring deck consistency. Only the first of those is thinking work. The other two are labour that produces no new information, and they are the two that scale badly, because every extra slide adds formatting and every extra deck adds a consistency check against everything already shipped.

AI Central states the consequence bluntly.

delayed training, wasted time, frustration

That framing is worth sitting with, because it moves the damage away from where people usually look for it. The loss is not the hours. The loss is the training that arrives late because the hours were not there.

The handoff, and why it is a split rather than a single tool

The technique the guide calls the 2026 hack is a two-tool chain. Claude expands raw notes, structures them logically, and hands over clean text. Gamma turns that text into polished, branded slides. AI Central's line on the payoff is short.

All in minutes, not hours.

The interesting part is not the speed claim, it is the seam. Most people reach for one tool and ask it to do everything, then get annoyed when the slides are structurally sound but ugly, or beautiful but say nothing. This guide refuses that. It assigns the reasoning problem to a language model and the layout problem to a design engine, and lets each one do the thing it was actually built for.

Step one, stop polishing your input

The first instruction is the one most people ignore. Gather bullet points, SOP notes or key takeaways, and stop there.

Rough notes are fine

AI Central says plainly that Claude will clarify and expand the content, which means every minute spent tidying the source notes is a minute spent doing work the model is about to redo anyway. The guide's own screenshots show a free plan and Sonnet 4.6 in use, so nothing here assumes a paid tier before the workflow produces anything.

Step two, the prompt carries the structure

There is one prompt in the document, and it does the entire expansion step. Written exactly as AI Central published it:

Expand these bullets into a 10-slide training deck with clear headings and 3–5 key points per slide.

Look at what that sentence is doing. It fixes the deck length, it fixes the density per slide, and it names the genre as training. Three constraints, one line. That combination is what stops a model returning an essay wearing slide costume.

What comes back, per the guide, is structured sections, concise and clear bullets, and simplified language for learners. That last item is the quiet upgrade. The model is not only reformatting your notes, it is lowering the reading level for an audience that does not already know the material, which is the single thing internal training decks most reliably get wrong.

Step three, paste and let Gamma format

The Gamma half is deliberately dumb, in the good sense. Paste Claude's output in, and Gamma applies layouts, formats visuals and creates consistent branded slides on its own. The guide describes the experience in one line.

It takes minutes without any stress

Then comes the optional pass: add visuals, icons or images, apply the company theme, export as PPT or PDF. That export note reads like housekeeping and is not. A deck that cannot leave the tool it was born in fails the moment someone has to present it from a locked-down laptop or attach it to an email.

The 70 to 80 percent claim, and how to read it

The headline number in the document is the saving from pairing the two tools. AI Central's wording:

Cuts deck creation time by 70–80%

Method note, because this matters. That figure is presented in the guide as a benefit of the workflow, not as the output of a measured study, and the document publishes no sample size, no baseline deck length and no measurement method. Read it as the publisher's own estimate, not as an independent benchmark. The direction of it is the defensible part: the two steps being removed, manual formatting and consistency checking, are precisely the steps that eat the most time and the least thought.

The three claims sitting next to it are softer and more durable. The workflow maintains clarity and consistency, it frees teams up, and it makes training creation effortless, fast and professional. The one worth keeping is the middle one.

Frees teams to focus on teaching, not formatting

That is the real argument in the document. Not that decks get made faster, but that the person who understands the subject stops spending attention on alignment and starts spending it on whether the training actually lands.

What to do with this

If you have never run this chain, do not start on a live deck. Take a training document you already shipped, push its bullets through the published prompt, and compare what comes back against what you built by hand. The difference between the two teaches you more than a first attempt on real material ever will.

  • New to it: one cheat sheet, the published prompt unchanged, ten slides out. Resist customising the prompt on the first run, you want to see the default behaviour before you tune it.
  • Doing this weekly: set the Gamma theme once, apply the company brand once, then leave both alone. The consistency gain the guide describes only exists if the theme stops moving.
  • Running training at scale: keep the SOP notes as the source of truth and regenerate the deck whenever the SOP changes, instead of editing slides. The deck becomes an output, not another document you have to maintain.

One caution the guide does not raise, so treat it as ours. An expansion step invents connective tissue. Claude will produce clean, confident bullets for a subject it only knows through your notes, so the review pass belongs to whoever owns the process being taught. Fast formatting does not make the content correct.

Do I need to write good notes first?

No. The guide is explicit that rough notes are fine, because clarifying and expanding is Claude's job in this workflow. Bullet points, SOP notes and key takeaways are all listed as valid starting material.

Which model does the guide use?

The screenshots inside the document show Sonnet 4.6 running on a free plan. Nothing in the workflow requires a paid tier to get a first deck out.

Can I get the deck out of Gamma?

Yes. Export as PPT or PDF is listed as part of the customise step, alongside adding visuals and applying your company theme.

How many slides does it produce?

Ten, with three to five key points on each, because the prompt asks for exactly that. Both numbers are set by the sentence you type, so changing the deck length is a matter of changing the prompt.

Does this replace a designer?

The guide does not claim it does. It claims formatting and consistency get automated so teams can focus on teaching rather than formatting. Judgement about what belongs in the training, and whether it is accurate, stays with the person who knows the subject.