How to Read Faster Without Losing What Actually Matters
What the research says about how to read faster, which techniques hold up, and how to sort a heavy reading list so attention goes where it counts.
9 articles by Lola Benítez.
- Reading efficiency for researchers
- AI research summarization
- AI document tools comparison
- Knowledge management with AI
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How to Take Better Meeting Notes Without Transcribing
Most meeting notes record everything and keep nothing. Here is a four-bucket method, a ten-minute review habit and an honest look at where AI recorders help.
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How to Write Meeting Minutes That Actually Get Used
Meeting minutes serve one purpose: making sure the work discussed actually happens. Here is how to write them so they do.
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How to Summarize an Article: The Method That Works
Learn a repeatable method for summarizing articles accurately, from the first read to the final draft, with notes on when AI tools help and when they mislead.
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The Cornell Note Taking Method: What It Actually Does
Cornell's three-zone page layout separates note capture from active retrieval testing. The method takes 20% more time but returns measurably faster recall.
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Meeting Minutes Template: Structure That Gets Used
A structured meeting minutes template with ready-to-copy layout, three format variants for project teams, committees, and boards, plus notes on how AI recording tools change who fills the template in.
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How to Record Lectures and Extract What Actually Matters
Most researchers record lectures and let the files sit. The real gap is what comes after: a structured process that turns captured audio into knowledge you can actually retrieve and use.
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How AI Extracts Action Items From Long Reports and Calls
A practitioner's look at how AI tools extract action items from long reports and calls, where they misfire, and the five-step method that catches what they miss.
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Objective Summary: How to Write One That Actually Holds Up
An objective summary distills a source to its core claims, stripped of interpretation. This guide covers the method, common errors, and when AI tools actually help.
