Learn what’s happening in AI and how you can leverage it. Get insights from Amjad Masad, Marc Benioff, Aravind Srinivas, Aaron Levie, and more.

We are moving toward a world where your search engine can actually do things for you, like booking a reservation. The future of agentic AI is here. An exploration of how Google is building the next generation of search with @rmstein , VP of Product at Google Search.

WAIT you just… talk to it and it opens google calendar AND sets the reminder for you?

This AI app hit $10M in under a year — with a team of less than 10. By letting anyone create AI influencers and ads in minutes. Here’s what we discussed with @rom1trs from @arcads_ai. • How AI influencers are already outperforming humans • Creating realistic UGC ads without being on camera • Turning scripts into viral videos at scale • Why marketers using this will win unfairly • How Arcads found product-market fit and scaled fast Watch full Episode below.

This is great for support. But here’s why marketers should care. Most people stop thinking at customer support. Sandra Dajic from @chatbase told us why AI agents are becoming a core marketing primitive.

‘’Whether you’re in marketing, sales, or support — you can use this.” That line stuck with us. @TakoTreba from @chatbase, broke down how AI agents are actually being used inside real companies. Here’s what we discussed: • AI agents that downgrade or upgrade accounts automatically • Using integrations like Stripe and Calendly with AI • How marketers use analytics from AI agents to create content • Why every team should own their own workflows Watch our full conversation below:

Say goodbye to lengthy prompts and hello to precision mode. @Rocket is changing the game with instant, enterprise-grade app creation. Here's what we discussed: •How precision mode is solving the prompt issue. •Building complex systems in just minutes. •Integrating APIs and databases without any coding knowledge. Watch full convo below 👇

“AI just turned ONE video of me into 100 new ones… automatically.” — @tibo_maker This is the new era of content creation.

We think AI is the bottleneck. Ashfaq Munshi says the real choke points are underneath it — wasted GPUs, heat, power, and an aging grid.

Everyone talks about AI models. Almost nobody talks about the database behind them. ClickHouse is already used by OpenAI, Anthropic, LangChain, W&B, Sierra, Modal Labs and others. This is what’s powering the agent wave.

AI agents aren’t hype anymore. They can manage your inbox, prep your meetings, and even take actions in your browser. @Altimor (CEO of Lindy AI) showed us how he uses agents every day to run his work life. This is the future of productivity.

Most companies try to build five products at once. Salesforce didn’t — and Aaron explains why ClickHouse is using that same strategy to win AI workloads.

Tesla sends 1 BILLION events per second into ClickHouse — and still gets answers in milliseconds.

OpenAI, Anthropic, Tesla, LangChain, Vercel — all rely on @clickhouse for real-time analytics at massive scale. Here’s how ClickHouse became the database of choice for the world’s top AI companies. Watch full episode here👇

AI won’t just replace developers. It will turn everyone into a builder. In this Superhuman AI Podcast episode, watch how @nichochar shows Mocha turning plain English into live, working web apps. Here’s what’s inside: • Building a watercolor avatar app from scratch • Adding auth, a database, and payments without touching code • Templates, cloning, and the coming marketplace for micro-apps • Why Mocha is designed for people who find “app vs website” confusing Watch full Ep below 👇

They built for developers, not data engineers. Turns out that decision made it easier for AI agents to build data pipelines too. Humans and LLMs, working from the same playbook👇

Instead of “no-code,” they went pro-code. @514hq is betting the future of data engineering belongs to developers — not dashboards.

“How many red shoes did we sell yesterday?” Sounds simple. But at Nike scale, even ‘red’ is a complex data problem. @timgdelisle & @chriscrane explain why enterprise AI needs context, not just data.

Most companies chase no-code. These guys did the opposite. Instead of replacing engineers, @timgdelisle & @chriscrane, Co-Founder Fiveonefour, built tools that make devs 10x faster. Here’s what we discussed: • Why “developer-first” beats “no-code” • How simplifying code helps LLMs work better • The next evolution of AI-powered engineering Watch full conversation below👇