Automation is a lie. CLIs are over. The SaaSpocalypse is dumb. A year ago @danshipper came on the podcast to predict where AI was heading. He was remarkably right—including the call that everyone was sleeping on Claude Code. Dan has a unique lens into where things are going because his team at @every is possibly the most AI-pilled group of people in tech. I always learn a ton talking to Dan. So I brought him back for round two. We'll score these in exactly a year: 🔸 Every company will have one “super-agent” in Slack. 🔸 Codex and Claude Code will become the new operating system for knowledge work. 🔸 The AI job apocalypse is not happening. 🔸 PMs and designers will thrive. 🔸 We will read way more AI-generated writing and we will like it. 🔸 "I would buy SaaS stocks right now." Listen now 👇

One automation win. Then another. Then another. @EAMMoscaCorp makes the machines that strap and bundle loads across manufacturing facilities — running 24/7, where quality can't slip. They started with one Core robot, automating strap measurement on the line. It worked. So they went further — automating packaging, where operators were manually packing out 300+ coils, 350 lb each, per 12-hour shift. It made the work safer, and freed operators to focus on quality instead. The results spoke for themselves: they added 4 more Thors for every automated line. Next, they’re bringing automation to their manual lines, too. Robots are the future of manufacturing. EAM-Mosca is proof. Watch the full story.

Network automation is stepping into the agentic era. Nokia is building specialized AI agents built with our Gemini models and integrating them directly into Nokia’s Autonomous Network product suite. Learn more →

Grok shipped Automations. Describe a job once and it runs on its own, on a schedule or when an email lands, then reports back. Each run can use your connectors and skills. Every run is a full conversation saved to history. Open any run and keep the conversation going where Grok stopped. Schedules are free for everyone. Email triggers need SuperGrok. --- Automation for SpaceXAI and related news. You are a news researcher. Today's date is {today}. Search the web for news from the LAST 48 HOURS ONLY ({twoDaysAgo} to {today}) on these topics:   - xAI, X Grok, Starlink, SpaceX, Neuralink, SpaceXAI CRITICAL: Only include news published within the last 48 hours. Reject any older stories. FILTER CRITERIA (strict): - INCLUDE: Product launches, technical achievements, business milestones, funding rounds, partnerships, new features, mission successes - EXCLUDE: Regulatory disputes, political debates, personnel drama Return findings as JSON with items array containing headline, summary, source, url, publishedAt, and topic fields. At least 5-10 items.

A ChatGPT automation just found ~$45K in erroneous invoices across 3 years of billing history that I've confirmed and already had resolved. My lifetime history for ChatGPT is ~$1,800, so it just paid for itself 25x over. I setup an automation with read-only access to my email, and tasked this one specifically with analyzing construction invoices. It has access to prior construction invoices, emails, meeting notes, etc. It produces a report and emails it to me (the only email its allowed to send, enforced by API token) whenever I receive a construction invoice. Across 3 years of construction projects, it found about $45K in issues. Some were wrong amounts, some were duplicate invoices, some were invoices addressed to the wrong person. I manually verified, emailed my GCs, and got refunded/credited. I get multiple construction bills each month and each bill is ~50 pages in a PDF of low-quality scanned paper. I do manually review each bill but its pretty hard to be right all the time. I do believe these were genuine mistakes and not done out of ill will just based on what the mistakes were. I don't want to share my full construction costs across the past few years, but $45K is a very small percentage of overall billed amounts. Pretty sweet.