Episode 140: Start Building Now: OpenAI’s Laura Modiano on Apps in ChatGPT, AgentKit, Sora 2 & GPT-5-pro

Episode 140: Start Building Now: OpenAI’s Laura Modiano on Apps in ChatGPT, AgentKit, Sora 2 & GPT-5-pro

Author: Thomas Ohr October 16, 2025 Duration: 40:04
This is the best time to build a startup ever. To young people thinking whether to build something: Start Now. This week on the EU-Startups Podcast, Marcin Lewandowski sits down with Laura Modiano (Startups EMEA at OpenAI) to turn her “love letter to European founders” into a build-now playbook. We break down OpenAI’s latest platform updates—Apps in ChatGPT + Apps SDK (a brand-new distribution channel), AgentKit (agents that actually do), Codex (GA) for developer speed, Sora 2 / Sora 2 Pro via API for high-ROI video, and GPT-5-pro for higher-stakes reasoning—into concrete steps founders can run today. You’ll learn: – The fastest path from idea → prototype using OpenAI’s stack (weekend-level speed) – Apps in ChatGPT: how discovery + monetization change—and what founders should prep before day one – Where AgentKit beats basic API calls (state, tools, guardrails → outcomes) – How to fold Codex (GA) into your PR flow without slowing teams – Sora 2: responsible, high-ROI uses that move real metrics – GPT-5-pro vs. cheaper models: a practical decision rubric (stakes, accuracy, latency, cost) Takeaways: – Speed is a moat: scaffold with GPT-5-pro, then optimize to cheaper models. – Don’t “add AI”—remove steps: redesign the workflow; kill clicks, not add them. – Apps in ChatGPT = new distribution: 800M weekly users; EU/UK—prep your app listing, onboarding, and pricing now. – Agents vs. endpoints: with AgentKit, combine state + tools + guardrails to deliver outcomes, not demos. – Codex (GA) ≠ novelty: pair-programming, repo refactors, doc hygiene—without slowing PR velocity. – Sora 2: use where dynamic video outperforms static—product demos, instructionals, simulations. – Europe’s edge: talent density + research depth; the bottleneck is belief + shipping cadence, not brains. Chapters: 00:00 Building in Europe: A Love Letter to Founders 05:15 Europe’s Competitive Edge 12:16 From Idea to Prototype: Leveraging OpenAI Tools 13:45 Integrating AI: Common Mistakes to Avoid 15:10 Apps in ChatGPT: Discovery, Distribution & Monetization 18:22 AgentKit: Unlocking New Possibilities 19:14 Codex (GA): Enhancing Developer Workflows 21:44 Sora 2 & GPT-5-pro: The Future of AI 25:15 AI & Jobs: A Balanced Perspective 32:01 Best Time to Build: A Call to Action 38:45 Final Thoughts: AI’s Role in Our Lives If you haven't already.... Subscribe to the EU-Startups Podcast on YouTube! Or follow along on your other favorite podcast platforms... Spotify - https://open.spotify.com/show/4QU85dN... / Apple Podcasts - https://podcasts.apple.com/ee/podcast... Follow EU-Startups on LinkedIn: / eu-startups-menlo-media Visit our Website: https://www.eu-startups.com/ Subscribe to our Newsletter: https://www.eu-startups.com/newsletter/ #startup #ai #chatgpt

Hosted by Thomas Ohr, the EU-Startups Podcast pulls back the curtain on the continent's most dynamic and innovative companies. This isn't about abstract theory; it's a direct line to the founders, investors, and operators who are actually building the future across European cities. Each conversation digs into the tangible details-the early struggles for funding, the strategic pivots, the challenges of scaling across borders, and the personal journeys behind the headlines. You'll hear candid stories about what works and what doesn't in the intersecting worlds of technology and business, offering real insights for entrepreneurs at any stage and anyone curious about the mechanics of startup culture. As the audio companion to the leading online magazine EU-Startups.com, this podcast delivers depth and context you won't find elsewhere, turning each episode into a practical case study. Tune in for an authentic, unvarnished look at the ideas and people driving Europe's entrepreneurial landscape forward.
Author: Language: English Episodes: 100

EU-Startups Podcast
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