Woody Allen is in the Epstein files but I refuse to believe he's the type of guy who would cheat on his daughter

i’m absolutely loving the saas apocalypse discussions on the timeline right now. to me the whole saas apocalypse via vibe coding internally narrative is mostly a distraction & quite nonsensical. no company will want to manage payroll or bug tracking software. but the real

> Skiers are usually type A personalities hyped on ambition and precision and perhaps a bump or two of the white stuff (not the snow, mind you). > Boarders are nomadic potheads in oversized pants, shredding the gnar and letting the vibes flow as they drift through the slopes.

It's scary to be an enterprise buyer right now. I talked to a private equity investor last week who covers patient services companies. He asked me how hubs should think about AI transformation. They’re scared if they move too fast, they’ll bet on the wrong horse. But if they

Here's the thing nobody shows in an AI demo. Our AI calls a provider about a missing prescription. The doctor's out. Front desk says they'll fax it over. AI captures the fax number. Now every future interaction with that provider is smarter! The system gets better every time it

Here's a problem nobody talks about when they pitch you on AI automation. Let's say it works. You double your call center throughput. Benefit verifications that used to take days now take hours. Your team is suddenly twice as productive. Now what? You either need to double

I'VE BEEN BUSY OK

Don't sell automation first. Sell monitoring (read: let your AI be a fly on the wall before it picks up the phone). Show them where quality breaks down. Build trust! The automation conversation comes later, and by then it's obvious! QA was baked into Neon from the start for

Voice AI is evaluated on your worst instance. Text lets you iterate quietly. Voice doesn't. The call is live, emotional, and full of interruptions. I keep hearing this from teams building in the space. Heard it reinforced hard at Thursday night's Fin x Cartesia event. Peter Bar

Early days at Neon. We'd just closed our first major client. AR season was two months out. We needed to integrate with their CRM. Their IT team said: "We can open up some endpoints for you by Q2." Q2. Of next year. We said: fuck that. So we did something different. We trained

We don't replace your stack. Your telephony, your CRM, your escalation workflows (all of it stays). Ours is the connective layer that makes what you already have work harder. Turns out the fastest way to freak out an enterprise buyer is to imply you're ripping out their

"Why do 95% of genAI pilots fail?" Most genAI pilots in patient access die for one reason: they do not get better after go-live. In my session at Hub East (𝗠𝗮𝗿𝗰𝗵 𝟭𝟵𝘁𝗵, 𝟰:𝟱𝟬-𝟱:𝟮𝟬), we will walk through a real workflow and the simple loop that makes it work: •

What happens when the doctor isn't at the desk? Our AI calls a provider within a minute of intake. But the provider's out. The front desk says they'll fax the prescription over. The AI adapts, logs the commitment, and watches for the incoming fax. That's the messy middle of

We built an AI quality team to QA our AI workers. The goal was simple: make sure our automation was actually doing what it was supposed to do. Catching edge cases. Staying on the rails. Not hallucinating answers. Then something unexpected happened. Our customers started

Your customer's customer is your real product requirement. In healthcare services, every operator needs to prove value to THEIR client. If your product doesn't help them tell that story, it doesn't matter how good the automation is. We think about this constantly! 🚀

First they came for Anthropic And I did not speak out Because I can't write emails without Claude

Hey did you accidentally bomb Iraq instead of Iran??? ChatGPT: You’re absolutely right good catch!

lmao✊ Google AI OpenAI