Research is 80% reading and 20% writing. But the reading part is brutal—you open 30 tabs, highlight random passages, take scattered notes, and by the time you sit down to write, you can’t remember which source said what.

Here’s how researchers, students, and analysts are using Save to collapse the reading-to-writing pipeline.

Workflow 1: Multiple Articles → Literature Review

You’re writing a paper or report on a topic. You’ve found 8 articles that cover different aspects. Synthesizing them manually would take a full day.

The workflow:

Save all 8 articles as Markdown — clean text, headings, and structure preserved from each source
Feed them to Claude in one session:

“Here are 8 articles about [topic]. Synthesize the key findings across all sources. Where do they agree? Where do they contradict each other? What gaps exist in the current research? Structure this as a literature review with proper citations to each source.”

“Based on these sources, what are the 3 strongest arguments for [your thesis]? Pull specific evidence from each article.”

Use the synthesis as your draft foundation — The AI gives you a structured overview with references. You refine, add your analysis, and write your original contribution

What used to take 8 hours of reading and note-taking now takes 30 minutes.

Workflow 2: News Articles → Trend Analysis

You’re tracking a developing story or industry trend. New articles come out every day with different angles and data points.

The workflow:

Save articles as they appear — One click each, build a collection over a week or month
Batch-analyze with AI:

“Here are 12 articles about [trend] published over the last month. Create a timeline of key developments. What’s the narrative arc? What changed between the earliest and latest coverage?”

“Identify the data points and statistics mentioned across these articles. Which numbers are consistent? Which sources report conflicting data? Create a fact-checked summary table.”

Publish or present your analysis — You now have a data-backed trend report that no single article could provide

You’re not just reading the news. You’re doing primary research by synthesizing multiple sources.

Workflow 3: Reports and Whitepapers → Executive Summaries

Your boss sends you a 40-page industry report and asks for a summary by end of day. Or you need to brief your team on a competitor’s annual report. Or a client shared a dense whitepaper and wants your take.

The workflow:

Save the report as Markdown
Get the summary you actually need:

“Here’s a 40-page industry report. Give me a 1-page executive summary with: the 5 key findings, the most surprising data point, and 3 implications for a company in [your industry].”

“Extract every statistic and data point from this report into a table. Include the source page or section for each.”

“What does this report NOT cover that it should? What questions should I ask the authors?”

Share the summary with your team — You look like you read the whole thing. You kind of did—just faster.

Workflow 4: Wikipedia + Multiple Sources → Fact-Checked Briefings

You’re preparing for a meeting, a presentation, or a job interview. You need to quickly get up to speed on a company, technology, or concept.

The workflow:

Save the Wikipedia page plus 2-3 recent articles about the topic
Ask for a targeted briefing:

“Here’s the Wikipedia page and 3 recent articles about [topic]. Give me a 5-minute briefing covering: what it is, why it matters right now, the key players, and the most common misconceptions. Assume I’m smart but not an expert.”

“Based on these sources, what are the 5 most interesting questions I could ask about this topic in a meeting to sound well-informed?”

Walk into the room prepared — Deep knowledge from multiple sources, synthesized into exactly what you need

Why This Beats Traditional Research Tools

Traditional approach	With Save + AI
Open 20 tabs, lose track	Save everything, organized as files
Highlight and forget	AI synthesizes across all sources
Scattered notes in 3 apps	One clean Markdown file per source
Write from memory	Write from structured AI analysis
Re-read sources while writing	Ask AI to pull specific evidence

The Researcher’s Save Rule

Save before you close the tab. If an article was worth reading, it’s worth keeping. The cost of saving is one click. The cost of re-finding that perfect source three weeks later is 30 minutes of frustrated Googling—if you can find it at all.

Build the habit:

Find a source → Save it
Collect 5-10 sources → Feed to AI for synthesis
Get a structured analysis → Write your original piece on top of it

You’re not outsourcing your thinking to AI. You’re outsourcing the tedious part—reading, comparing, organizing—so you can focus on the part that matters: your analysis, your argument, your insight.

Get Started

Install Save (free, 3 saves/month)
Start saving every source you read this week
At the end of the week, feed them to Claude or ChatGPT
Watch a week’s worth of reading become a 10-minute synthesis

Research doesn’t have to be slow. It just needs a better pipeline.

Questions or feedback? Reach us at [email protected]