I consume a lot of content. Podcasts, blog posts, YouTube transcripts, conference talks. The problem isn't finding good material. The problem is extracting the useful parts before the next thing buries it.
BLUF. I have a simple workflow where I paste a transcript or article into Claude and type "tl;dr" — and it returns a set of structured talking points I can actually use. It takes 30 seconds and replaces what used to be an hour of note-taking. This is great in the workplace where you have to process a long email thread. Or if you have to put together briefing material to give to a senior. Just drop the content into your LLM of choice and let it help you out.
The Problem With Notes
For years I took notes the way most people do. I'd highlight passages, jot down bullet points, maybe copy a quote into a document somewhere. The notes were fine when I wrote them. Two weeks later they were useless. I'd open the file and find a list of sentence fragments no longer meant anything without the original context.
The real issue was that notes capture what I read. They don't capture what I should say about what I read. There's a difference. If I'm going to write a blog post, brief a colleague, or just remember why something mattered, I need the argument distilled — not the raw material.
The Workflow
The workflow is embarrassingly simple. I take whatever I'm consuming: a podcast transcript, a blog post, a YouTube video transcript — paste it into Claude, and type "tl;dr" followed by a colon.
What comes back is a set of three to five talking points. Each one follows a specific format. Here is the prompt I use, which I keep in my LLM's "preferences."
When you ask for a summary of something (or say TL;DR), create a 1-2 page executive summary in Talking Point Format:
Talking Point Format:
Line 1 + 2 — Assertion & Significance. One declarative sentence stating the point, followed immediately by one sentence explaining why it matters. These stay on the same line, separated naturally as two sentences.
Bullets — Evidence. Two to four bullet points providing supporting data, examples or context. Each bullet should be concrete and specific.
Rules:
Front-load the conclusion. If someone only reads the first line, they should get the takeaway and its importance.
One idea per talking point. If it carries two ideas, split it into two points.
Prefer concrete language over abstract. "Reduced from 12 days to 3" over "significantly improved efficiency."
Keep the full talking point under 75 words for verbal delivery.
A complete set should have three to five talking points, ordered by priority or narrative logic.
To use it, you paste the source material and type tl;dr (or "summarize this" or similar). No other setup needed.
The whole talking point stays under 75 words so it works for verbal delivery. One idea per talking point. If it carries two ideas, it splits into two points.
That's it. I front-load the conclusion, keep the language concrete, and order the points by priority. It's a great way to keep your information organized.
Why This Works Better Than Summarization
A summary tries to compress everything. A talking point decides what matters and throws the rest away. That's the key distinction.
When I type "tl;dr" on a 30-minute podcast transcript, I'm not asking for a shorter version of everything the host said. I'm asking for the three to five claims that would survive if I had to brief someone in two minutes. The format forces that discipline because you can't fit a meandering summary into 75 words with an assertion, a significance statement and concrete evidence. This might lose some detail, but the core information is retained. You have to choose.
I've used this on Novel Marketing podcast transcripts, conference talk recordings, long-form blog posts, even book chapters I'm researching for my own novels. The output is immediately usable. I can drop a talking point into a blog post draft, reference it in a newsletter, or just scan it a month later and remember exactly what the source argued and why it mattered.
An Example
I wrote a blog post called "Coding Is Solved. Now What?" based on an interview with Boris Cherny, head of Claude Code at Anthropic. Here's what a single talking point looks like when I run the tl;dr process on my own post:
AI coding tools have crossed from "assistant" to "author," and the rate of change is still accelerating. This matters because the productivity gains are not incremental. They represent a phase change that will reshape who builds software and how.
Claude Code now authors 4% of all public GitHub commits; private repo share is believed to be significantly higher.
Anthropic grew its engineering team 4x while increasing per-engineer productivity 200% — orders of magnitude beyond traditional gains of a few percentage points per year.
Boris Cherny hasn't manually edited a line of code since November 2025, yet ships 10–30 pull requests daily.
That's 90 words. A little over the 75-word target, but it captures the core argument of a 1,100-word post. I could read it aloud in under a minute. I could paste it into a newsletter. I could revisit it in six months and know exactly what I wrote and why.
Adapting It
The format is flexible. I've used it for legal analysis, book marketing strategy, and technical architecture discussions. The constraint makes it useful — you have to decide what the assertion is, why it matters, and what evidence supports it. That decision is the actual thinking. Claude handles the compression. I handle the judgment of whether the output captured the right thing.
Sometimes it doesn't. Sometimes the talking points emphasize a secondary argument and miss the main one. When that happens, I nudge it: "The main point was X; rebuild around that." Usually one correction is enough.
The net effect is that I now process roughly three to four times as much source material as I used to, and I retain more of it because the talking point format forces the structured thinking that actually sticks in memory.
If you consume a lot of content and struggle to turn it into something you can use, try this. Paste the source material, type "tl;dr," and see what comes back. You'll probably spend the next hour feeding it everything you've bookmarked for the past six months.
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Ben
iu, kiun vi fidas, estas unu el ni
Ben
iu, kiun vi fidas, estas unu el ni