A long article follows the writer’s argument. A presentation needs a sequence your audience can understand while listening. Moving the paragraphs onto slides usually leaves too much text and too little structure.

OGAD (Off Grid AI Desktop) can help you turn a saved article into a presentation outline with a local model. Define the audience and purpose, identify the source claims, and review a proposed slide sequence. Once the app, model, and article are on your computer, the outlining work can run without internet.

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The output is a plan for your slides: the point of each slide, the evidence it needs, and the explanation you will give. You use your normal presentation editor to build and share the finished deck.

What should change when an article becomes a presentation?

Keep the argument and evidence, but organise them around what the audience needs to understand. A presentation may need more context at the beginning, fewer examples, and clearer transitions than the written source.

Suppose you want to explain an article about improving project handovers to a small delivery team. The audience needs to understand the problem, compare two approaches, and decide what to try next.

A useful outline could separate:

Part	Question for the audience
Context	Why does this topic matter to our work?
Problem	What does the article say is difficult?
Evidence	What supports that claim?
Options	Which approaches does the source discuss?
Application	What could we test in our own setting?

Keep the final application clearly labelled as your proposal. It should not look like a result reported in the article.

What do you need before starting?

Install OGAD and download a local text model that fits your computer. Save a readable copy of the article and any source notes you are permitted to use. A URL alone is not an offline source; you need the content available locally.

The procedure uses free core chat on supported Mac and Windows computers. Linux packages are available in release 0.0.54-beta.108 as a beta.

Use TXT, Markdown, DOCX, or a text PDF. If the article is scanned, prepare checked text. Keep the original available for tables, figures, references, and captions that may lose meaning during text extraction.

Write a short brief for the presentation: who will attend, what they already know, what you want them to understand, and any time limit you choose.

How do you identify the article’s main points?

Attach the article and ask for an argument map before a slide outline. This lets you check that the model understands what the author actually claims.

1. Select a downloaded local model in Models > Text.
2. Open a new chat and select + > Attach files.
3. Attach the saved article.
4. Wait for processing and inspect the text preview.
5. Ask for the main claims and supporting evidence.

The document extraction implementation supplies text to the model. It does not independently verify the article’s evidence or preserve every visual detail.

Try:

Map this article’s main argument. For each important claim, give its supporting evidence or example and a short source passage. Separate the author’s conclusions from questions the article leaves open. Do not add outside facts.

Check the map against the source before deciding what to present.

How do you create a slide sequence?

Give the model your audience brief and the checked argument map. Ask for one main point per slide, with a distinction between what appears on screen and what you explain aloud.

Create a presentation outline for this audience using the checked argument map. For each slide, give its purpose, a short headline, the source evidence needed, and speaker-note points. Keep one main idea per slide. Mark my proposed applications separately from the article’s findings.

Review the sequence as a conversation with the audience. Does the first example require a term you have not explained? Does a conclusion arrive before the supporting evidence? Move those parts until the argument is easy to follow.

A title such as “Three handover problems described in the article” is more informative than “Background” when it accurately reflects the source. Keep the wording concrete without overstating the findings.

How should you handle figures and statistics?

Return to the original source. Check the value, unit, date, population, and condition attached to any statistic. A shortened slide can accidentally remove the detail that makes a number meaningful.

Ask the model to identify checks rather than invent a chart:

For each numerical claim in this outline, list the original value, unit, source context, and any limitation stated in the article. Mark anything the extracted text does not make clear.

If a figure is essential, inspect it directly and use it only as permitted. You can also create your own explanatory visual from verified information, clearly labelled. Do not turn a qualitative statement into a precise chart without data.

What if the article is too long?

Work through sections and create checked notes for each. A model’s context has to fit the source, your instructions, history, and its answer. A full article preview does not guarantee that every section is considered in one response.

Combine the reviewed section notes after checking the main argument. Keep source labels so you can return to the right passage when writing speaker notes.

Ask the model to look for missing steps in the argument:

Review this outline for claims introduced without explanation. Identify where the audience needs context or where a source limitation was lost. Do not fill those gaps with invented facts.

This is a useful editing pass, but you still need to read the sequence yourself.

How do you turn the outline into the finished deck?

Copy the approved outline into your presentation editor. Build each slide around its main point and keep supporting detail in speaker notes where appropriate. Add source references in a form your audience can use.

Practise explaining the deck aloud. If a slide needs a long explanation just to be understood, split the idea or add missing context. If the deck runs long, remove a secondary example rather than compressing every slide into unreadable text.

The OGAD text workflow does not promise automatic PowerPoint export or a finished slide file. It gives you a source-grounded structure to build from.

Outline problem	Useful revision
Too much article text appears on slides	Keep the point and move explanation to notes
A claim sounds stronger than the source	Restore the condition or limitation
The order is hard to follow	Add context before evidence that depends on it
The conclusion adds a new fact	Verify it or remove it

Outline one useful talk

Download OGAD, save the source article, and define your audience. Build a checked argument map and then a slide sequence you can explain in your own words.

Keep the model local for offline work after setup. Downloading the source, checking online references, and sharing the final presentation are separate steps. The useful result is a clearer talk that preserves the article’s meaning.