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200 turns · 41 minAnd we are live. Welcome-
What's up?
-to Sip Live, where we live stream, asks-- answer your questions, look at the timeline, give up-- give you our takes. I'm your host, Greg Isenberg, and I'm here with my co-host, Jonathan Courtney. He's a shrimp millionaire from Berlin, originally from Ireland. Welcome to the show, sir. We're gonna get right into it. Uh, yesterday, I posted, um, "What's the one thing you'd ask me and my fellow shrimp millionaire over here if you had me on the phone?" And we got one hundred and thirty-nine responses. I'm gonna go through, you know, three or four of them, uh, with you, uh, Jonathan, uh, right now. And then at the end of the stream, we're gonna go through a few more, and in the middle, we're just gonna go and talk timeline takes.
[upbeat music] The Startup Ideas Podcast. It's sippin' time, baby.
This is coming from the X chat. We got M Pesce says, "When you begin the process of making a company AI native, where do you begin? Is it department- departmental change, where department by department you're changing things, or is it company wide? Where do you start, and what are first steps?" Uh, for me, I mean, I could spend four hours just talking about this, but the number one thing you can do is to make your company legible. So what does that mean? That means that if you're using an LLM, you need to have, uh, the LLM be able to talk to your company, and that means your meeting notes need to be legible from, from the LLM. That means that, uh, you know, your SOPs need to be legible. So basically, going through everything in your company and then putting it so that it could be seen by, uh, you know, whatever, you know, if you're using a, a Claude code, if you're using, you know, the Codex and the OpenAI ecosystem, the Google ecosystem, whatever it is, just make sure that it's being read. And then you start thinking about-- That's step one, and then step two is, uh, going role by role and then basically saying, "Okay, this person, what are the jobs to be done for, for that person?" So if it's a social media marketer, they need to do research around what content they should be creating. They need to actually be creating the content. They need to be scheduling the content. They need to be looking at the analytics, and then they need to be taking that, uh, feedback from the analytics and then bringing it back to the front so that they could say, "We, we want more of this content or less of that content." So, [lip smacks] uh, what you end up doing is you build loops. You build, you know, AI employees essentially that end up doing some of those things, and then some of those things are-- you're gonna obviously remain human. Those are the two biggest things you can do if you wanna go AI native.
I-- Can, can I just add one thing to that?
Yeah. Yeah.
Uh, what we did-- So we-- I, I, I had already three businesses before all the AI stuff, um, kicked off, so we had to figure out, you know, how do we go from where we are now to adding these AI tools into a system that's already kinda working? And also, n-not everybody in the company was excited about integrating AI tools. That's another thing. I mean, if you're, if you're asking this
Episode notes
On this week’s SIP Live we dive deep on the X timeline to give each post a sip or a skip, and we answer questions from the chat. This episode covers AI-native operations, a baby food app that earns a million dollars a month, iMessage agents, human customer support as a brand advantage, small teams, reading habits, and sales advice for builders. Listeners get concrete first steps, business ideas they can copy today, and two clear opinions on each take.
Timestamps
00:00 – Intro
00:59 – Where an AI-Native Company Starts
04:48 – The $1M-a-Month Baby Food App
10:31 – An App Store for iMessage Agents
16:32 – Customer Support Is Eating Engineering
23:38 – RIP to the 2-Pizza Team
26:36 – Paul Graham on Reading as an Advantage
33:31 – The Worst Moves for 2026
37:01 – From Designer to Salesperson
Key Points
- Make the company legible first: keep meeting notes and SOPs in files that an LLM can read.
- Let the team explore AI tools freely, then ask one department, such as admin, to lead.
- A million-dollar-a-month app leaves room for niche copies that earn 10K to 30K a month.
- Build loops that turn daily support transcripts into prototypes and measurable goals.
- Human support works as a marketing advantage, and premium buyers pay for it.
- Sales stays part of the owner's job, so learn the frameworks and start cold calling.
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