How Anthropic Uses Claude Fable 5 With Mike Krieger (52 min)
ai-driven-innovation-economy
ai-in-workforce-disruption
- Release date: 2026-06-10
- Listen on Spotify: Open episode
- Episode description:
Mike Krieger built one of the most consequential consumer apps of the last two decades as the cofounder of Instagram. He is now at the frontier of AI-native product development as head of Anthropic Labs, the team responsible for figuring out what the most capable AI models can do in the hands of real builders.When Krieger first got access to Fable 5 months before its public release, it was exciting and disorienting. “I feel like a total newbie again,” he remembers telling his team. The way he’d been thinking about productivity, strategy, and time management was out of date. The model had outpaced his workflows.Dan Shipper talked with Krieger for AI & I about what it looks like to build with a model as capable as Fable 5, including the new rhythms, challenges, and possibilities it reveals.If you found this episode interesting, please like, subscribe, comment, and share!To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperGet started with Braintrust at https://www.braintrust.dev/ Timestamps:0:03 Introduction1:48 How Fable completely reshaped Mike's workflow4:48 When to use Sonnet versus Fable10:06 What the media tracker Mike built over a weekend reveals about agent-native architecture15:00 The cost to build has collapsed19:03 Is software engineering over?21:48 How Anthropic's engineering teams work today38:39 The mechanics of verification44:39 What people should use the model to build47:24 Dynamic workflowsLinks to resources mentioned in the episode:Mike Krieger on X: https://x.com/mikeykAnthropic Labs: https://www.anthropic.comClaude Code: https://claude.ai/codeEvery: https://every.toTimestamps:0:03 Introduction1:48 How Fable completely reshaped Mike's workflow4:48 When to use Sonnet vs. Fable10:06 What the media tracker Mike built over a weekend reveals about agent-native architecture15:00 The cost to build has collapsed19:03 Is software engineering over?21:48 How Anthropic's engineering teams work today38:39 The mechanics of verification44:39 What people should use the model to build47:24 Dynamic workflowsLinks to resources mentioned in the episode:Mike Krieger on X: https://x.com/mikeykAnthropic Labs: https://www.anthropic.comClaude Code: https://claude.ai/codeEvery: https://every.to
Summary
- 🚀 Overnight AI Delegation: Fable enables users to assign complex tasks before bed and wake up to completed work, including error recovery and scaffolding.
- 🛠️ Self-Modifying Apps: Weekend-built tools now include agent-driven code edits, live previews, and chat-based feature additions without traditional dev loops.
- 🔄 Workflow Evolution: Professionals are rethinking prompting, verification via screenshots/video, and concurrent sessions as models gain long-horizon reliability.
- 👥 Human Role Shifts: Engineering moves toward ownership, taste, architecture planning, and incident response while models handle implementation.
- 💰 Cost & Access Tradeoffs: High capability comes with usage costs that encourage thoughtful model selection and may limit casual or hobbyist experimentation.
Insights
- How are frontier AI models like Fable fundamentally changing the way professionals delegate and verify complex, multi-hour tasks?
- Time: 3:11 – 4:30
- Answer: Mike describes shifting from short prompts to overnight delegation with high trust in the model’s ability to handle errors, maintain context, and complete work autonomously, while still emphasizing human verification loops like screenshots and videos.
- What does the rise of agent-native, self-modifying software mean for the future of app development and iteration speed?
- Time: 11:15 – 14:35
- Answer: Mike built a personal media tracker over a weekend that lets the AI modify its own code via chat, dramatically lowering the cost and time compared to Instagram-era development that required days of all-nighters.
- Is software engineering dead, or has it simply evolved into higher-level orchestration, taste, and ownership?