<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>AI on Po-Wei Chen, MD — Physiatrist &amp; Builder</title><link>https://drpwchen.com/en/tags/ai/</link><description>Recent content in AI on Po-Wei Chen, MD — Physiatrist &amp; Builder</description><image><title>Po-Wei Chen, MD — Physiatrist &amp; Builder</title><url>https://drpwchen.com/og-default.png</url><link>https://drpwchen.com/og-default.png</link></image><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 24 Jul 2026 16:30:00 +0800</lastBuildDate><atom:link href="https://drpwchen.com/en/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Getting started with AI agents from scratch: installing, understanding GitHub, and running your first tool</title><link>https://drpwchen.com/en/posts/getting-started/</link><pubDate>Fri, 24 Jul 2026 07:15:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/getting-started/</guid><description>You can follow along even if you&amp;#39;ve never used the command line: install Claude Code with one command, understand GitHub pages, and get your first open-source tool running and producing results.</description></item><item><title>How I talk to AI agents: three mindsets, four meta-skills, and a rules file that shouldn't keep growing</title><link>https://drpwchen.com/en/posts/talking-to-agents/</link><pubDate>Fri, 24 Jul 2026 06:45:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/talking-to-agents/</guid><description>Getting the tools installed is just the beginning. Three mindsets, four meta-skills you can use right away, how to write prompts now, and what belongs in each of the three layers of constraints for AI.</description></item><item><title>My Complete AI Toolbox: Find the Tool for Whatever You Want to Do</title><link>https://drpwchen.com/en/posts/my-ai-toolbox/</link><pubDate>Mon, 20 Jul 2026 13:15:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/my-ai-toolbox/</guid><description>A complete list of the tools I actually use, categorized by need: AI assistants, speech-to-text, OCR, notes and knowledge base, paper tools, free website hosting, home servers and backup systems, plus the open-source scripts I wrote myself.</description></item><item><title>The last piece of The Paper Trilogy: paper-fetch. Give it a DOI, and it fetches the full text itself</title><link>https://drpwchen.com/en/posts/paper-fetch/</link><pubDate>Tue, 14 Jul 2026 08:15:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/paper-fetch/</guid><description>To let AI read papers for you, you first need the full text. And what usually gets you stuck isn&amp;#39;t the AI—it&amp;#39;s permissions, publishers, and the library. paper-fetch uses a step-by-step route from open access, to official publisher APIs, to your own hospital library to turn a DOI into a full-text PDF, without taking any piracy routes.</description></item><item><title>My Open-Source Tool Was Targeted by a Bot Marketer!</title><link>https://drpwchen.com/en/posts/github-bot-marketing/</link><pubDate>Thu, 09 Jul 2026 10:45:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/github-bot-marketing/</guid><description>My open-source paper tool received a GitHub issue full of sincere praise. After checking, I found it was automated marketing spammed by a bot to 26 repos within two minutes. This post breaks down its tactics, the paid marketplace model behind it, and why running it with your own subscription is a better deal.</description></item><item><title>I turned my journal club "paper-reading brain" into an AI skill, and forced it not to bullshit from impressions</title><link>https://drpwchen.com/en/posts/paper-tools/</link><pubDate>Tue, 07 Jul 2026 09:30:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/paper-tools/</guid><description>I took the entire workflow of a journal club critical appraisal and wrote it into two Claude Code skills. I even wrote two deterministic little scripts to hand over the calculation of evidence certainty and logical flaws to code, stopping the AI from bullshitting based on overall impressions. It&amp;#39;s already open-sourced on GitHub.</description></item><item><title>I installed a money-saving dashboard for my AI</title><link>https://drpwchen.com/en/posts/ai-token-4-budget-dashboard/</link><pubDate>Mon, 29 Jun 2026 06:30:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/ai-token-4-budget-dashboard/</guid><description>The final part of the saving tokens series: not everything needs the smartest brain, and even for reading images, the cheapest model is often enough. Toss noisy chores to a clone to keep your desk clean, then install a dashboard, or even let the AI watch its own usage and pace the budget just right.</description></item><item><title>If an abacus works, don't boot up the supercomputer: When to actually make AI think?</title><link>https://drpwchen.com/en/posts/ai-token-2-script-vs-llm/</link><pubDate>Mon, 29 Jun 2026 06:30:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/ai-token-2-script-vs-llm/</guid><description>Some jobs simply shouldn&amp;#39;t be given to AI. Clear-cut, repetitive tasks belong to hardcoded scripts—they&amp;#39;re fast, accurate, and practically free. Vague, judgment-heavy tasks are what you boot up AI for. Here&amp;#39;s how I read my medical textbook PDFs as an example of making this tradeoff.</description></item><item><title>Organizing a clean desk for the AI</title><link>https://drpwchen.com/en/posts/ai-token-3-clean-desk/</link><pubDate>Mon, 29 Jun 2026 06:30:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/ai-token-3-clean-desk/</guid><description>There&amp;#39;s a cost you pay with every sentence: the config file residing right in front of the AI. Keep it lean, layer the memory, make good use of prompt caching to bill repeated content at one-tenth the price, and throw away the noise of successful commands directly. A clean desk doesn&amp;#39;t just save money; the AI answers more accurately, too.</description></item><item><title>Why Does Your AI Get Slower and Dumber the Longer You Chat?</title><link>https://drpwchen.com/en/posts/ai-token-1-chat-gets-dumber/</link><pubDate>Mon, 29 Jun 2026 06:30:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/ai-token-1-chat-gets-dumber/</guid><description>AI has no memory. With every reply, it rereads the entire conversation from the beginning, which is why longer chats get slower, more expensive, and dumber. This post explains the mechanism using a taxi meter analogy, and gives everyone who chats with AI three ways to save that you can use today.</description></item><item><title>When AI Can Do It All, I Double-Check My Keys at Home</title><link>https://drpwchen.com/en/posts/ai-agent-secrets-audit/</link><pubDate>Sun, 28 Jun 2026 01:30:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/ai-agent-secrets-audit/</guid><description>After handing over permissions to read files, execute commands, and connect to the internet to an AI assistant, I went back to inventory, lock, and revoke my scattered keys and tokens, putting together a few security habits for using AI.</description></item><item><title>Adding graph retrieval to my medical LLM Wiki, and it actually works this time</title><link>https://drpwchen.com/en/posts/vault-graph-rag/</link><pubDate>Mon, 22 Jun 2026 15:00:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/vault-graph-rag/</guid><description>I threw a new paper on SQL-RAG at Claude to verify it myself: useless for a redundant textbook library, but a great fit for finding &amp;#34;related notes&amp;#34; in a sparse Obsidian medical note vault. After swapping the ranking to personalized PageRank, the proportion of correctly finding related notes jumped from 34% to 84%, and I put it straight into production.</description></item><item><title>Completing PM&amp;R Residency</title><link>https://drpwchen.com/en/posts/rehab-specialist-board-2026/</link><pubDate>Sat, 20 Jun 2026 18:00:00 +0800</pubDate><guid>https://drpwchen.com/en/posts/rehab-specialist-board-2026/</guid><description>I finished the board examination last weekend and officially became a PM&amp;amp;R attending physician. Looking back at my four years of training at Hualien Tzu Chi Hospital, from Prof. Cifu&amp;#39;s reminder to &amp;#34;not be limited&amp;#34;, to getting exposure to pediatric rehab, neuro, orthopedics, musculoskeletal ultrasound, and manual therapy, and then jumping into vibe coding with Claude Code this February to redesign my study methods. Documenting this milestone, and previewing the AI learning tools I want to share next.</description></item></channel></rss>