This has quietly been a miracle month in medicine.
In the last 5 weeks we’ve got news on:
- retatrutide, the triple agonist GLP-1 from Lilly, basically melting fat and body-wide inflammation at record levels
- RevMed’s new pancreatic cancer drug showing unprecedented abilities to extend life
- small trial of a one-and-done PCSK9 gene editing therapy for slashing LDL cholesterol
- Mayo’s AI-assisted radiology showing vastly improved cancer detection
- this new therapy for metastatic solid tumors
This stuff is at varying levels of evidence. Retatrutide is ~100% on its way, other stuff needs more clinical trial data. But put it together and we’re maybe on the verge of majorly reducing the mortality of heart disease and cancer, the two leading causes of death in America.
"My parents are fallible goofballs like anyone else. But there is something a bit different about the conversations at my dinner table—and something magical and rare about the people leading them."
It’s hard to explain how agents and sub-agents really work.
I’ve been using Claude Code and similar tools for a long time, but I struggled to get a setup with OpenClaw/Hermes that actually felt right.
I finally found a structure that clicks — and it feels like magic in the same way Claude Code first did.
The breakthrough wasn’t “having an agent.”
It was realizing:
different agents need different roles
different channels need different rules/context
orchestration matters more than raw intelligence
Once routing, memory, and specialization started working together, it stopped feeling like prompts and started feeling like an operating system.
Total game changer. I went from a clunky site to shipping fast—PostHog wired up, weekly insights in my inbox, and workflows that turn blogs into social posts automatically. WordPress now feels like the bottleneck. Happy to show you before and after. It was a great way not to reinvent the wheel.
A key lesson: life shouldn’t feel like a roller coaster.
Big highs make the lows feel worse.
Better to build a road.
Some uphill, some downhill, but mostly steady.
Most people stop at ChatGPT. They don’t really know what’s possible beyond that.
I was telling someone to just record their calls, transcribe them, and use that as context when making decisions. They were blown away. Then I mentioned Claude Code and got a blank stare.
There’s a pretty big gap between trying AI and actually using it.
We dramatically underestimate how much change management it is going to take to automate most knowledge worker tasks.
Between data being in legacy environments or systems or without good APIs, context missing for doing the task, teams that are less technical, and other factors, there’s still a lot of work to drive real AI transformation in an enterprise.
This is actually great news if you’re building right now because the opportunity is to build the software bridges to make this easier, or to build new services firms to help with this change management. Opportunity is all around for those looking.
@vrexec I had a friend have bad news. I told my doc to get it and got it. My wife had to argue with her doctor because she was too young (under 40). Finally had to call GI specialist because we had PPO. Best ROI you can get.