๐ฌ๐ง๐๐ค๐๐ ๐จ๐
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๐ฌ๐ง๐๐ค๐๐ ๐จ๐
@impvlse
๐ฎ๐ค๐ช ๐๐๐ซ๐ ๐ฉ๐ค ๐ ๐๐๐ฅ ๐๐ค๐๐ฃ๐.



I spent 68 hours and my entire weekly Codex budget to create goal-maker. npx goal-maker It turns big Codex /goal runs into a rolling working board with strong per-task instructions and receipts. Here's how it works:





This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now












I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools. With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments. Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know. I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars. (One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.) There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!




I'm starting to believe that the industry is involved in an explicit effort to kill Open Claw. Everything they do needs to be examined, documebted and detailed because we are tipping into anti-trust territory. Agent technology is so powerful that we shouldn't allow it to be owned by three or four frontier model companies.



probably not a good sign



48 AI agents game studio github.com/Donchitos/Clauโฆ










