Why Your Workflow Beats Any Model Release | Claude AgentView & Token Costs | Creative Flux #46

Why Your Workflow Beats Any Model Release | Claude AgentView & Token Costs | Creative Flux #46

In Episode 46, Pierson and Bilal make the case most builders don't want to hear — stop chasing model releases and start building better systems. Naval just said "waste tokens, save time." Microsoft burned their entire AI budget in 4 months. The cost conversation is changing fast — and this episode gets into why your processes matter more than your benchmarks. From there: * Claude AgentView — 10 parallel agents in one unified screen * The unified API architecture Pierson rebuilt for Jellypod to serve both humans and agents * Slash goals, HTML artifacts and front-loading agent context * Claude Code Routines — Pierson's 5am health check that files its own bug reports in Linear * Why the models are already far beyond what most people can extract from them * The Suits CEO crossword analogy and what a real software factory actually looks like Chapters: 00:00 Episode 46 & What We Built This Week 05:00 Grill Me Skill, Slash Goals & Front-Loading Agent Context 10:00 Claude AgentView — 10 Parallel Agents in One Screen 16:00 Stop Chasing Model Releases — Build Better Systems 22:00 Naval, Token Costs & Microsoft's AI Budget Crisis 28:00 Claude Code Routines & the 5AM Automated Bug Report 🔗 Links mentioned: * Naval on wasting tokens: https://www.youtube.com/watch?v=aiyf-5jmYf0&t=311s [https://www.youtube.com/watch?v=aiyf-5jmYf0&t=311s] * Microsoft AI budget crisis: https://www.youtube.com/shorts/XcjDn6uj-sE [https://www.youtube.com/shorts/XcjDn6uj-sE] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai

AI Just Solved an 80-Year-Old Math Problem — Plus Google I/O, Karpathy Joins Anthropic | EP 45

In Episode 45, Pierson and Bilal cover the week that changed a few things — Google I/O delivered a mixed bag, Karpathy walked into Anthropic, and OpenAI's model autonomously cracked an 80-year-old math problem nobody saw coming. From there: * Google Flash 3.5 came in 3x more expensive — and Omni didn't beat Cdance 2 * Why Gavin Baker's chip bet on Google losing cost efficiency played out exactly right * SpaceX IPO, the Cursor deal & who files first — OpenAI or Anthropic * Karpathy joins Anthropic — and what he's actually going there to do * Meta and Cloudflare layoffs — the displacement wave is already here * Corporations becoming governments, SpaceX militias & the return of local economies Chapters: 00:00 Episode 45 & Google I/O First Reactions 07:00 Gavin Baker's Chip Bet & Amazon's Quiet Edge 10:00 SpaceX IPO, Cursor & the OpenAI vs Anthropic Race 15:00 Karpathy Joins Anthropic & the Erdős Math Breakthrough 22:00 AI Displacement, UBI & the Eric Schmidt Backlash 27:00 Corporations as Governments & the Future of Local Economies 🔗 Links mentioned: * OpenAI Erdős Solution: https://openai.com/index/model-disproves-discrete-geometry-conjecture/ [https://openai.com/index/model-disproves-discrete-geometry-conjecture/] * GitHub Hack: https://x.com/github/status/2056949168208552080 [https://x.com/github/status/2056949168208552080] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai

Can AI Actually Understand Your Codebase? Agents, Token Maxing & the Future of Creative AI | EP 44

In Episode 44, Pierson and Bilal get into something every AI builder eventually runs into — the model is smart, but it still breaks. And it's not always the model's fault. They break down why agents fail not because they can't think, but because they have no eyes, arms, or legs — and what it actually takes to build systems where agents succeed. Pierson demos how he got agent browser to auto-authenticate behind a login wall using OAuth magic link flow, no password required. Bilal gets into Hyperframes, Remotion's parallelization edge, and the real cost of rendering long-form AI video at scale. From there they cover: * Why you can outsource your thinking to AI, but never your understanding — an Andrej Karpathy quote worth sitting with * The Bun codebase port from Zig to Rust — a million lines of code, merged in days * Token maxing culture and why burning more tokens doesn't mean building better * Jack Dorsey's Block org structure and why tooling engineers are quietly the most valuable people in the room * Bilal releases an AI-generated song — and the comments didn't know it wasn't human * A guy who posted a real Monet and told the internet it was AI — and they believed it * The Chinese solo creator who made an AI zombie film in 10 days for $400 and got a studio deal Chapters: 00:00 Episode 44 & What We've Been Building This Week 06:00 Why AI Models Fail — And It's Not What You Think 12:00 Outsource Your Thinking, Not Your Understanding 19:00 Principal Engineers, Product Vision & What AI Can't Replace 27:00 Token Maxing, Tooling Teams & the Jack Dorsey Org Shift 33:00 Agent Auth, Playwright & Building Arms and Legs for AI 39:00 AI Art, the Monet Trick & Bilal's AI Song Nobody Knew Was AI 🔗 Links mentioned: * Bilal's AI Song: https://x.com/deepwhitman/status/2055001909619274146 [https://x.com/deepwhitman/status/2055001909619274146] * Hyperframes: https://hyperframes.heygen.com/ [https://hyperframes.heygen.com/] * Bun Rewrite in Rust: https://news.ycombinator.com/item?id=48132488 [https://news.ycombinator.com/item?id=48132488] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai

We Built an AI Podcast Producer- Plus GPT Realtime, AI Anime & the Anthropic/SpaceX Deal | EP 43

In Episode 43, Pierson and Bilal come fresh off the a16z Generative Media Video Hackathon - and they built some wild stuff. Bilal went from a prompt to a full AI-generated podcast: custom avatars, Gemini TTS voices, lip-synced video, and live infographics pulled by deep research. All stitched together programmatically. Pierson built something different — an AI producer that joins your recording call as a guest, listens for a wake word, and pulls up images, search results, or visuals on a live canvas. Think: Jamie from Joe Rogan, but agentic. From there they get into: * GPT Realtime 2 — real-time transcription, translation, and a voice API that stays listening even when "asleep" * The shift from AI writing code to AI owning features — and what engineering responsibility looks like in that world * AI-generated anime breaking the last creative barrier humans thought they had * XAI dissolving into SpaceX, Elon's Colossus One deal with Anthropic, and what it means for Claude Code limits * Micro datacenters — Nvidia Blackwell chips mounted in your garage via SPAN's XFRA Chapters: 00:00 Episode 43 & The a16z Generative Media Hackathon 04:00 Bilal's Build: Prompt to Full AI Podcast with Avatars 10:30 Pierson's Build: An AI Producer That Joins Your Call Live 20:00 GPT Realtime 2 & the Always-On AI Future 31:00 AI Anime, Creativity & the Last Human Bastion 37:00 XAI, Anthropic's Colossus Deal & Micro Data centers 🔗 Links mentioned: * GPT Realtime API: https://developers.openai.com/api/docs/models/gpt-realtime [https://developers.openai.com/api/docs/models/gpt-realtime] * Sin Citium anime: https://x.com/Cont_animation/status/2051296715781619829 [https://x.com/Cont_animation/status/2051296715781619829] * SPAN Micro Datacenters x Nvidia: https://www.businesswire.com/news/home/20260414372626/en/SPAN-Announces-XFRA-a-Distributed-Data-Center-Solution-to-Close-the-Speed-to-Power-Gap-for-AI-Compute-Demand [https://www.businesswire.com/news/home/20260414372626/en/SPAN-Announces-XFRA-a-Distributed-Data-Center-Solution-to-Close-the-Speed-to-Power-Gap-for-AI-Compute-Demand] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai

The AI Podcast That Fooled Everyone, Talkie 13B & Stripe for Agents | EP 42

In Episode 42 of Creative Flux, Pierson and Bilal kick off episode 42 - the answer to the universe - and things get weird fast. From there they cover: - ElevenLabs launching a standalone music social app, why Suno accidentally became a social network first, and the impossible position Spotify is now in - An AI podcast of Henrik Johansen and Martin Shkreli so realistic even Bilal got fooled - Talkie 13B — a model trained exclusively on pre-1931 text by Alec Radford, and why it feels like actually talking to someone from the past - Stripe Link going agent-first and Sam Altman hinting at something big around bring-your-own-tokens at Stripe Sessions Chapters: 00:00 Hitchhiker's Guide, Audio Books & the Future of Multi-Voice AI Narration 08:10 ElevenLabs Music, Suno's Social Network & What Spotify Is Really Up Against 16:00 Henrik Johansen x Martin Shkreli — The AI Podcast That Fooled Everyone 22:00 Talkie 13B — A Language Model Trained Exclusively on Pre-1930 Text 36:30 Stripe Link for Agents, Sign In with ChatGPT & the Agent-First Platform Shift 🔗 Show Notes: ElevenLabs Music: https://elevenlabs.io/music [https://elevenlabs.io/music] Henrick Johanssen & Martin Shkreli: https://x.com/compliantvc/status/2049535715369775559?s=12 [https://x.com/compliantvc/status/2049535715369775559?s=12] Talkie 13B (pre-1930 LLM): https://talkie-lm.com/introducing-talkie [https://talkie-lm.com/introducing-talkie] Stripe Link for Agents: https://stripe.com/blog/giving-agents-the-ability-to-pay [https://stripe.com/blog/giving-agents-the-ability-to-pay] 🐦 Follow the hosts: Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai