Dreamer: the Agent OS for Everyone — David Singleton

David Singleton, the longtime former CTO of Stripe, has now launched Dreamer, a new consumer-focused platform to discover, build, and use AI agents and “agentic apps,” centered on a customizable personal Sidekick. David walks us through a demo of Dreamer’s dashboard, gallery, and tool integrations (e.g., Gmail, Google Search, sports data feeds), including an agent that generates a daily briefing podcast delivered to Apple Podcasts. He shows building an AI Engineer conference schedule app in ~25 minutes via natural language, with an IDE/CLI for engineers, hosting, multi-user data controls, workflows, logs, and a per-agent SQLite database. Finally, David shares security and memory approaches in agent building, plus his reflections on Tiny Team company building. 00:00 Meet David Singleton 00:31 What Is Dreamer 01:19 Sidekick And Community 02:30 Origins From Android 03:49 Homepage And Onboarding 04:36 Dashboard And Calendar Hero 06:21 Gallery And Use Cases 07:18 Tools And Integrations 08:25 Tool Builders Get Paid 09:42 Agent Studio Overview 10:49 Conference App Demo 14:33 How Sidekick Builds Apps 17:22 Hosting Sharing 18:48 Sidekick Tasks And ToDo Magic 21:55 Privacy Security And OS Model 26:40 Agent Commerce And Payments 30:19 Ski Trip App Example 32:20 Finance Tools And Curation 33:55 Stable Tool Interfaces 34:22 Partnerships And Branded Tools 35:01 Agent Lab Routing Layer 35:56 Multimodality And Subagents 36:44 Builders Publishing Tools 38:51 Debug Drawer And SDK 40:24 CLI Docs For Agents 41:47 TypeScript First Stack 43:17 Versioning And Workflow Logs 45:05 Databases And Function Introspection 46:30 Auth And Multiuser Defaults 47:50 Why Not Swap Sidekick Engine 49:28 Personalization And Memory 52:03 CEO Shift And Go To Market 53:24 Tiny Teams With Agents 55:36 Community Agent Shoutouts 57:08 Hiring For Agent Workflows 59:14 What LLMs Still Lack 01:03:01 Wrap Up

Why Every Agent Needs a Box — Aaron Levie, Box
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Why Every Agent Needs a Box — Aaron Levie, Box

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
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Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer

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Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowledge Work

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Dylan Patel — The single biggest bottleneck to scaling AI compute

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Context Graphs and the Future of AI Agents with Jaya Gupta

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Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize

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Agentic Engineering: Working With AI, Not Just Using It — Brendan O'Leary

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The third golden age of software engineering – thanks to AI, with Grady Booch

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GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle

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Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis

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Benedict Evans: OpenAI’s Moat Problem & the Future of Software

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The best AI agents are simpler than you think

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Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup

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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

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From Lakehouse to Agent Cloud — Matei Zaharia and Reynold Xin of Databricks

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"Software Fundamentals Matter More Than Ever" — Matt Pocock

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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An AI state of the union: We’ve passed the inflection point & dark factories are coming

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Building an AI Dark Factory: A Codebase That Writes Its Own Code, Live

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The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean