How do you summarize an article with AI?

You summarize an article with Penn by pasting the text into the chat and sending a single prompt. Penn reads the article, pulls out the core argument and key points, and outputs a clean summary. You pick the format you want: bullet points, executive brief, or a one-paragraph version. Follow up with more prompts to turn the summary into a LinkedIn post, newsletter intro, or briefing. Penn keeps the article in context across the chat.

The exchange takes about 30 seconds.

Articles · Blog posts · Web pages · Any pasted text

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Setting up Penn for AI article summarization

Four steps. The first two are one-time setup. After that, every article takes about 30 seconds to summarize.

1. Sign up for Sintra and select Penn

Go to Sintra and pick your plan. Penn costs $39/mo on his own. Sintra X is $97/mo and includes all 12 helpers.

2. Set up Brain AI (~5 min)

Open the Brain AI tab. Upload your brand voice, tone guidelines, and audience profile. Penn uses this to match your style on every summary and every repurposed output. Skip this and summaries default to a generic neutral tone.

3. Open a new Penn chat

Go to app.sintra.ai and pick Penn from the helpers list. A new chat window opens.

4. Paste the article or upload the file

Penn works with content directly in chat. Paste the article text into the conversation, or upload a file. Penn supports text-based formats like PDF, DOCX, TXT, and MD. Keep individual files under 20 MB.

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How to summarize an article with Penn in 10 steps

Each step is one prompt. Send them in order on the same article in the same chat. Penn keeps the article in context, so each follow-up builds on the last without needing to re-paste anything.

Step 1. Get an initial summary

With the article pasted into the chat, send the basic summarization prompt. Penn reads the full text and returns a one-paragraph summary that captures the core message.

Prompt: Summarize this article.

Output: a paragraph with the article's main message. This is the foundation for every follow-up below.

Step 2. Pull the core argument

Penn has the article in context now. Ask for the thesis in one sentence. This is useful for slide titles, citations, or a quick reference.

Prompt: What is the main argument of this article? Give me one sentence.

Output: a single-sentence thesis.

Step 3. Get the key points as bullets

Penn scans every section and surfaces the most important claims, findings, or facts. He ranks the bullets by relevance to the central argument.

Prompt: List the 5 key points from this article as bullet points.

Output: a clean bullet list. One sentence per bullet. Ready to paste into a brief, email, or slide deck.

Step 4. Get a 3-sentence executive summary

For leadership-facing updates, a polished paragraph beats a bullet list. Penn compresses the article into 3 to 5 sentences that cover argument, evidence, and conclusion.

Prompt: Write a 3-sentence executive summary of this article for a non-specialist reader.

Output: a paragraph ready for a newsletter intro, briefing doc, or Slack update.

Step 5. Resize the summary up or down

Same article, different channels. Penn scales the summary up or down without losing accuracy.

Prompt: Summarize this article in one sentence. Then in three sentences. Then in one paragraph.

Output: three versions at different lengths. Pick the one that fits the channel.

Step 6. Rewrite for a specific audience

This is where Penn's copywriting role pays off. He rewrites the summary in a tone and vocabulary matched to the target reader. Technical for engineers. Plain for general audiences. Formal for executives.

Prompt: Rewrite this summary for a senior marketing executive with no technical background.

Output: same facts, new framing. Penn keeps the data intact and changes the language to fit the audience.

Step 7. Simplify technical or jargon-heavy content

Some articles are dense with acronyms and discipline-specific terms. Penn replaces them with plain equivalents while preserving the meaning of the original findings.

Prompt: Simplify this summary. Replace all jargon with plain English. Keep it under 150 words.

Output: a readable version anyone on your team can act on. No subject-matter expertise needed.

Step 8. Pull out quotes and statistics

Penn scans the article for direct quotes, data points, and cited figures. He pulls them into a structured reference list with the context for each.

Prompt: Extract all statistics, percentages, and direct quotes from this article. List them with context.

Output: a reference list of facts and quotes. Ready for a presentation, social post, or report.

Step 9. Repurpose the summary into LinkedIn, newsletter, or social posts

This is Penn's strongest move. He's a copywriter first, so turning a summary into ready-to-publish copy sits in his core skillset. The article is already in context, so Penn doesn't need to re-read it for each new format.

Prompt: Turn this article summary into a LinkedIn post under 200 words and a 3-tweet thread.

Output: platform-formatted content based on the summary. No copy-paste editing required.

Step 10. Combine everything into one shareable document

Once you have the parts you need, Penn assembles them into a single structured output. Drop it in a doc or hand it to your team.

Prompt: Combine the executive summary, 5 key points, top 3 statistics, and LinkedIn post into one clean document. Format for easy reading.

Output: a complete summary package. One document, all formats, ready to share or file.

Manual summarization vs. AI summarization with Penn

Tips for better AI article summaries

Five things that move summary quality the most.

• Set up Brain AI before your first summary. Without brand context, Penn summarizes in a generic neutral voice. Spend 5 minutes uploading your tone guide and audience profile. Every summary after that matches your voice.
• Paste the full text directly into chat. Penn works best with the complete article in the conversation. For paywalled content, copy-paste the text. For files, drop them into the chat window.
• Ask for multiple lengths in one prompt. Request a one-sentence, three-sentence, and paragraph version at the same time. You'll see which fits the channel without a second round-trip.
• Use Penn for the repurposing step, not just the summary step. After Penn generates the summary, follow up with prompts that turn it into a LinkedIn post, newsletter intro, or internal brief. The article is already in context, so each repurpose takes one prompt.
• Batch-summarize by pasting articles sequentially. Paste multiple articles into one Penn chat and ask: Summarize each of these in 3 bullets. Flag any that overlap in topic. Penn surfaces patterns across a content set that would take hours to spot manually.

Summarize your first article in the next 30 seconds

Penn reads the article, extracts what matters, and outputs a summary in the format your team needs: bullets, executive brief, or social-ready copy.

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The complete AI article summarizer checklist (expand each category)

The full checklist. Four parts. Useful with Penn, useful without. Bookmark it and run it when you need a sanity check.