Logan Kilpatrick breaks down how Google AI Studio is evolving from a model playground into a real app-building environment.

In this episode, we cover Gemini’s latest upgrades, stronger coding capabilities, improved reasoning, and the new full-stack runtime inside AI Studio that makes it possible to vibe code full apps. Logan also gives a live look at how these tools work in practice, including building multiplayer experiences directly inside the product.

We dive into:

- Gemini’s latest model upgrades
- What’s new inside Google AI Studio
- How vibe coding full apps actually works
- Why multiplayer app building matters
- What this means for AI builders going forward

If AI tools are moving from chat to software creation, this is the shift to understand. This episode shows where Google is pushing AI Studio next and why it matters for anyone building with AI.

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Google Search is changing, fast.

In this episode, Robby Stein (VP of Search at Google) breaks down how AI is transforming Google from a keyword-based search engine into a conversational, reasoning, and action-driven system.

Powered by Gemini 3 (Flash & Pro), AI Mode now supports complex multi-turn queries, real-time tool use, interactive simulations, and increasingly personalized results through opt-in “personal intelligence” that connects services like Gmail and Photos.

We explore:
- Why search queries are getting longer and more complex
- How AI Mode actually works under the hood
- Gemini 3 Flash vs Pro (speed vs reasoning)
- Tool use, thinking models, and real-time finance/graph simulations
- What “agentic search” really means
- AI booking reservations and completing tasks for you
- Personalized search powered by your own data (opt-in)
- The future of Google in the next 6–9 months

Search is moving beyond answers.

It’s becoming a planning tool, a thought partner, and eventually an execution layer that can research, decide, and act on your behalf.

If you want to understand where Google Search is heading and what that means for creators, founders, and everyday users, this episode lays it out clearly.

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This AI app reached $10M in revenue in under a year by helping people create viral AI influencers and UGC-style videos at scale. In this episode of the Superhuman AI Podcast, we sit down with Romain Torres, co-founder of Arcads, to break down how AI avatars are changing content creation, advertising, and influencer marketing.

Romain walks through how anyone can create realistic AI influencers by uploading an image, writing a script, and generating videos in minutes. We explore how brands and creators are using AI avatars to run ads, scale social content, and even clone themselves without filming.

We dive into:
- How AI influencers and avatars are created step by step
- Using AI-generated UGC for ads on TikTok, Instagram, and Facebook
- Why AI videos are becoming indistinguishable from real humans
- How creators can scale themselves with AI avatars
- The workflow behind generating thousands of videos from one script
- How Arcads reached $10M ARR with a team of fewer than 10 people
- The future of AI-generated content and influencer marketing

If you want to understand how AI influencers actually work, how brands are using them today, and why this is becoming a massive opportunity for creators and marketers, this episode shows the full picture.

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AI agents are moving beyond chat and into real work. In this episode of the Superhuman AI Podcast, Sandra Dajic shows how no-code AI agents can actually run workflows across a business — taking actions, not just answering questions.

Sandra walks through how non-technical teams are building AI agents that cancel subscriptions, send invoices, book meetings, handle customer support, and connect tools like Stripe, Calendly, and Zendesk without engineering help. This is a practical look at how AI agents are becoming an operational layer inside modern companies.

We dive into:
- How no-code AI agents take real actions inside workflows
- Automating support, sales, and operations without engineers
- Connecting AI agents to Stripe, Calendly, Zendesk, and APIs
- Turning customer conversations into marketing and product insights
- Choosing models like GPT-4 or Claude to control tone and behavior
- Why AI agents are replacing manual, repetitive work
- What real AI automation looks like in practice

If you want a clear, grounded view of how no-code AI agents are being used today — and how to start building workflows yourself — this episode shows exactly how it works.

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In this episode of Superhuman AI, Tibo Maker shows how he uses SuperX to turn newsletters, blogs, notes, and links into high-performing X posts in minutes.

You’ll see the exact workflow he uses to grow his audience and consistently drive newsletter signups, without rewriting content or starting from scratch. This is a practical, creator-first look at how AI can repurpose long-form content into posts that match your style and actually perform.

• Turn newsletters into viral X posts

• Repurpose blogs, notes, and links instantly

• Write in your own voice, not generic AI tone

• Tease content to drive subscribers

• Build a repeatable growth workflow with AI

In this episode of the Superhuman AI Podcast, we sit down with Tibo Maker to break down the new SEO game: ranking in an AI-first world where being mentioned by ChatGPT matters as much as ranking on Google. Tibo walks through Outrank, the AI SEO system built to help you find low-difficulty, high-volume keywords, publish content fast, and build the backlinks needed to actually compete.

We dive into:
- How ChatGPT decides what websites to recommend
- Why ranking on Google still impacts whether AI mentions you
- Finding low-competition keywords with high search volume
- Creating content quickly without losing structure or relevance
- The real role of backlinks in the AI SEO era
- A backlink exchange marketplace and why relevance matters
- What it costs to build authority manually vs doing it efficiently
- The practical playbook to start ranking within weeks

If you’re a founder, builder, or operator trying to win distribution in the AI era, this episode is a clear, tactical guide to getting discovered by both Google and ChatGPT.

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What if a single sentence could generate a full production-grade app—front end, backend, database, dashboards, payments, mobile, and even e-commerce? 

In this episode, Vishal Virani, CEO of Rocket, shows us how their “vibe coding” platform is redefining software creation. 

This is the most complete, end-to-end demo we’ve seen: from one-shot app generation, to fully native Flutter mobile apps, to PayPal-powered storefronts, to slash-command precision edits, to automatic API integrations using Postman.

Check out Rocket here: https://www.rocket.new/?utm_source=youtube&utm_medium=superhuman&utm_campaign=podcasttutorial

We dive into:
- How Rocket turns a single sentence into full production-grade apps
- One-shot app generation and why prompts no longer need 40+ messages
- Building real dashboards, internal tools, and enterprise apps automatically
- Native mobile apps with Flutter generated in minutes
- PayPal storefronts with inventory, payments, analytics, and dynamic product creation
- Slash-command precision mode for reliable UI, API, and color/theme changes
- Superbase authentication, email alerts, multilang, and dynamic asset generation
- Automatic API integration with Postman—no hallucinations, no manual wiring
- How Rocket thinks about “vibe coding” vs true production solutions
- A preview of Rocket’s upcoming autonomous research engine: from idea → competitive analysis → what to build next

If you want to see how AI is collapsing the entire software development stack—from concept to fully functional product—this is one of the most advanced demonstrations to date.

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What if you could generate viral TikTok and Instagram content every single day—without filming, editing, or even opening the apps? In this episode of the Superhuman AI Podcast, we sit down with Tibo Maker, founder of Revid, to explore the AI engine that can turn any creator into a full-time content machine.

Tibo walks through how Revid creates dozens or even hundreds of short-form videos automatically using your avatar, your voice, and trending content pulled from X. From scraping high-performing posts to building talking-head clips and auto-publishing them to TikTok, Reels, and YouTube Shorts—Revid handles the entire process end-to-end.

We dive into:
- How Revid creates viral short-form videos from a single idea or tweet
- Generating dozens of videos automatically using your avatar or voice
- Auto-publishing to TikTok, Instagram, and YouTube Shorts every day
- Why this format consistently hits hundreds of thousands of views
- How creators are scaling content output to “infinite” with AI
- When manual editing still matters—and when to let AI take over
- Why Tibo believes AI will redefine the entire creator workflow

If you’re a creator, founder, or operator looking to scale your social presence without burning out, this episode shows how AI can turn you into a content engine overnight.

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Today’s AI can write code, pass exams, and generate images, but it still doesn’t know how to learn. In this episode of the Superhuman AI Podcast, we sit down with Ashfaq Munshi, CEO of Pepperdata and former CTO of Yahoo, to unpack what he calls the real problem with AI: models don’t build world models, don’t learn from experience, and don’t improve the way a child does.

Ashfaq walks through the missing pieces in today’s LLMs, why world models and true learning will define the next decade, and how deep infrastructure from chips to Kubernetes to GPUs to power grid underpins every “AI breakthrough” headline you see. He also breaks down how Pepperdata squeezes 20-30% more efficiency out of massive GPU and Kubernetes clusters for some of the world’s biggest companies.

We dive into:
- Why Ashfaq believes today’s AI models “don’t know how to learn”
- World models, robotics, and what real learning would look like
- The hidden infrastructure stack that makes modern AI possible
- How Pepperdata optimizes GPUs and Kubernetes to save real money
- Data centers, power, cooling, and the coming energy crunch
- US vs China in AI: talent, chips, research, and long-term advantage
- Career advice for builders who want to work on decade-long problems

If you care about where AI goes after the current hype cycle down at the metal and up at the level of real intelligence this conversation with Ashfaq cuts straight to the core issues.

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What if an AI could run your entire workflow—email, calendar, meetings, research, scheduling, follow-ups, even ordering food—without you lifting a finger? In this episode of the Superhuman AI Podcast, we sit down with Flo Crivello, CEO of Lindy, to explore the most capable AI assistant we’ve seen yet: an agent that actually does the work for you.

Flo shows real agents operating autonomously: logging into websites, replying to emails, preparing meeting briefs, joining calls, taking notes, updating docs, and coordinating across apps—acting with judgment, memory, and initiative. This isn’t automation. It’s real, goal-driven intelligence.

We dive into:
- How Lindy agents plan, reason, and take action on real computers
- Email + calendar agents that handle your entire schedule end-to-end
- Research agents that prep meeting dossiers automatically each morning
- Live browser-control agents completing complex tasks without instructions
- How AI agents collaborate with each other across your workflow
- Why most customer support should be fully automated in 2025
- The future of human work when AI handles the admin burden

If you’re a founder, operator, or builder searching for the real future of AI agents, this episode shows what’s possible today—and what’s coming next.

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Big data and AI are now in an arms race—and the databases behind them are becoming some of the most important infrastructure on the planet.

In this episode of the Superhuman AI Podcast, we sit down with **Aaron Katz**, CEO and co-founder of **ClickHouse**, to unpack how a high-performance open-source database became core to AI-native companies like OpenAI, Anthropic, Tesla, LangChain, and more. From a billion events per second to millisecond queries, Aaron explains what it actually takes to power AI-scale analytics in the real world.

We dive into:
- How ClickHouse became core infrastructure for OpenAI, Anthropic, Tesla and other AI leaders
- Why big data and AI are now in an arms race
- What “a billion events per second” really means in practice
- Why databases matter more, not less, in an AI and AGI world
- How ClickHouse thinks about open source, cloud, and its competitive moat
- The shift from BI dashboards to AI agents querying live company data
- Lessons from Salesforce, Elastic, and building ClickHouse into a data rocket ship

If you care about the future of AI infrastructure, observability, or analytics at serious scale, this conversation with Aaron cuts through the noise.

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