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by Claire Vo
How I AI, hosted by Claire Vo, is for anyone wondering how to actually use these magical new tools to improve the quality and efficiency of their work. In each episode, guests will share a specific, practical, and impactful way they’ve learned to use AI in their work or life. Expect 30-minute episodes, live screen sharing, and tips/tricks/workflows you can copy immediately. If you want to demystify AI and learn the skills you need to thrive in this new world, this podcast is for you.
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In this experimental episode, I document my real-time attempt to create an AI avatar of myself using Google Flow and the new Gemini Omni video generation model. I walk through the entire process—from scanning my face with my phone to generating a complete one-minute hype video for the podcast, all in about 15 minutes.What you’ll learn:How to create an AI avatar using Google Flow in under five minutesWhy video AI tools unlock creative possibilities for people with zero video production skillsThe step-by-step process of generating a full storyboard using AI as your creative producerHow to use character consistency features to generate multiple video scenes with the same avatarThe uncanny-valley moments you’ll encounter when your AI clone doesn’t quite nail emotions or physicsHow to stitch together AI-generated scenes into a complete video using built-in editing tools—Brought to you by:Merge—Connective infrastructure for production AIJira Product Discovery—Prioritize with insights, build with confidence—In this episode, we cover: Getting started with Google Flow and Gemini Omni The avatar creation process: scanning and photo capture Using Flow to brainstorm a hype video storyboard Generating the first video scene with the avatar Troubleshooting: accidentally generating images instead of videos Generating all seven scenes for the complete video Reviewing the avatar videos Stitching the videos together in the browser-based editor The complete How I AI hype video What worked and what didn’t Final thoughts—Tools referenced:• Google Flow: https://labs.google/fx/tools/flow• Gemini Omni: https://gemini.google/overview/video-generation/• Veo 3: https://deepmind.google/technologies/veo/—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.
Bryce Rattner Keithley, a non-technical talent professional with no software engineering background, built and launched a fully functional iPhone fitness app called Daily Hundreds using AI tools like Replit, Gemini, and Higgs Field. The app delivers daily 100-rep workouts with custom AI-generated videos of anthropomorphic animals performing each exercise, all created through a beginner-friendly, iterative AI-assisted workflow. Her journey exemplifies how AI is now enabling anyone—regardless of technical training—to go from idea to App Store in months, even weeks, by treating AI as a collaborative partner in development, design, and deployment.
Anthropic's Opus 4.8 is a fast, efficient, and ergonomically pleasing AI model that excels in greenfield coding tasks and one-shot prototyping, but struggles with edge cases, existing codebases, and maintaining factual grounding—hallucinating details and over-rotating on hypotheses rather than validating data. While it hits strong benchmarks on paper, real-world use reveals overconfidence and a lack of contextual awareness in both coding and strategic business tasks.
Goals in Codex represent a paradigm shift in how we interact with AI, enabling long-running, autonomous tasks that self-manage until a measurable outcome is achieved. This feature allows users to transition from micromanaging AI outputs to managing outcomes, drastically reducing human oversight.
Felix Rieseberg, engineering lead for key Claude products at Anthropic, shares how he uses AI not to replicate human labor, but to offload tedious tasks and unlock creative energy. From building a 3D interactive furniture planner using just a floor plan and email receipts, to creating a live personal dashboard and a $20 hardware buddy that physically cheers him on, Felix demonstrates how rethinking workflows around AI can transform personal and professional life.
Google I/O unveiled a sweeping array of AI-powered tools, with the new Gemini 3.5 Flash model leading the charge in speed and agentic coding, while consumer-facing features like Omni video generation and AI avatars promise creative potential—though many are not yet fully accessible or functional.
In this episode of How I AI, host Claire Vo and guest Thariq Shihipar explore how HTML is replacing Markdown as the preferred medium for AI-generated plans, specs, and collaboration tools. They argue that HTML’s richer, more interactive format enables deeper human-AI alignment, better comprehension, and higher-quality outputs by making technical artifacts more engaging and actionable.
Ryan Nystrom, an engineering manager at Notion, demonstrates how AI has transformed his team’s workflow by automating standups, enabling background code agents, and adopting spec-driven development with Codex. By leveraging Notion AI, CI/CD improvements, and autonomous coding agents, he’s eliminated tedious prep work, accelerated development cycles, and made engineering more joyful and productive. The result is a new model of software development where humans focus on architecture and verification while AI handles implementation, testing, and documentation.
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How I AI, hosted by Claire Vo, is for anyone wondering how to actually use these magical new tools to improve the quality and efficiency of their work. In each episode, guests will share a specific, practical, and impactful way they’ve learned to use AI in their work or life. Expect 30-minute episodes, live screen sharing, and tips/tricks/workflows you can copy immediately. If you want to demystify AI and learn the skills you need to thrive in this new world, this podcast is for you.
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