TL;DRAI

Pluckmd extracts blog articles as markdown without per-site config; an agent indexes them into wiki and interactive HTML. Signals how agent-driven LLM automation cuts documentation overhead—an emerging pattern for tech teams reshaping knowledge work.

I wanted to read blog posts with an LLM in the loop, not just on my own.

The push came from two places. Karpathy's LLM Wiki idea, where the model keeps a folder of markdown notes as you learn a topic. And Thariq's post on how well Claude generates interactive HTML, which is now on the Anthropic blog. Put together, the workflow I wanted looked like this: pull blog articles into markdown, have an agent index them into a wiki, then generate interactive HTML pages to learn from.

Step one was the blocker. Getting clean articles out of a website kept breaking, and every tool wanted a config per site. So I made pluckmd to handle just that part. This post is how I use it. The architecture write-up is separate.

References if you want the background:

LLM Wiki by Karpathy: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f

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How I use pluckmd to read blogs with an AI agent

I wanted to read blog posts with an LLM in the loop, not just on my own. The push came from two...

mercoledì 3 giugno 2026 New tab

TL;DRAI

629 words~3 min read

I wanted to read blog posts with an LLM in the loop, not just on my own.

References if you want the background:

LLM Wiki by Karpathy: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f

How I use pluckmd to read blogs with an AI agent

How I use pluckmd to read blogs with an AI agent

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