Jack Dorsey's Buzz: Clearly Explained (and how to use it)
I sit down with Vinny for a live tour of Buzz, an open source, agent-native chat app from Block built on an open protocol. Vinny makes the case that openness is the real story here: agents arrive as first-class teammates, the harness underneath each agent swaps freely between Claude Code, Codex, Goose, and open code, and your entire chat context travels with you through every swap. He demos real output, including a CRM app built with the Wasp full stack framework and deployed to Railway, plus a tweet leaderboard that pipes daily stats back into a channel through a public API. I press him for the honest state of the software and for the setup advice he actually uses day to day. By the end I share where I land on Buzz versus Slack, and why I think anyone building right now gains from putting their hands on tools like this. Try Buzz for yourself: https://startup-ideas-pod.link/buzz Timestamps 00:00 – Intro 02:57 – Agents as First-Class Team Members 03:49 – Swappable Harnesses Under Any Agent 06:55 – Audio Huddles With Agents 08:34 – Git, Feature Branches, and Parallel Worktrees 11:20 – Building a CRM App with Buzz and Agents 13:43 – Why This Matters 18:13 – Best way to engage with your Agents 23:53 – Shared Compute and Local Models 25:42 – Model Choice, Data Ownership, and Lock-In 27:36 – Context as the Foundation 29:39 – Setting Up Agents 31:21 – Skills and Speed 33:03 – Who Should Try Buzz Today 34:36 – My Take: Live in the Future 38:10– Closing Thoughts Key Points • Buzz treats agents as members of your team, so one shared chat becomes the context layer for humans and agents together. • The harness under any agent swaps freely, and every chat, project, and decision comes along for the ride. • Globally installed agent skills stay available inside Buzz, so an existing Claude Code setup carries straight over. • Agents branch, work in parallel worktrees, push to Git hosting on your own relay, and ship live apps end to end. • Shared compute lets a small team run one local model on one machine and use it from many computers. • Buzz sits in early preview today, which makes it a strong fit for solopreneurs and small teams iterating fast. Numbered Section Summaries 1. Openness as the Real Selling Point Vinny opens with the line people keep repeating, that Buzz reads as a Slack killer, then redirects to what actually sold him: openness. Buzz ships as an open source app on an open protocol, and that single choice drives nearly every feature we cover. 2. Agents as First-Class Teammates Slack invites agents in through integrations; Buzz treats them as members of the team from the start. Vinny shows the default agent roster, then the layer underneath where you edit agents, add new ones, and give each one instructions that work like a system prompt. 3. Swappable Harnesses and Portable Context Each agent sits on a swappable harness, so Claude Code, Codex, Goose, or open code slot in underneath on demand. Vinny frames this as the cure for model fatigue: swap the engine, keep every chat and every project you have built with that agent. 4. Huddles and Live Collaboration With Agents Buzz includes audio huddles where agents join the call carrying full chat context. The live attempt stays quiet while we record, so we describe how it works and I share why live, spoken interaction unlocks my own creative process better than typed back-and-forth. 5. Git, Worktrees, and Projects Built In Agents create feature branches and work in parallel worktrees, keeping your local files intact while several versions get built at once. Buzz also runs its own Git hosting on your relay, which is the server holding your chats and data, so the ambition here reaches past Slack and toward GitHub 6. From Chat to Shipped App Vinny asks Buzz for a simple CRM using the Wasp full stack framework deployed to Railway, and gets links, screenshots, and a live app back before he even checks the work. He then shows a tweet leaderboard he built, wired to a public API that posts daily stats into a channel where his agent Fizz analyzes the top performers. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND VINNY ON SOCIAL: X/Twitter: https://x.com/hot_town Youtube: https://www.youtube.com/channel/UCHP5Hdx0X-sM0uv2bl_OOqg
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Introduction to Buzz and why it matters as a potential Slack killer
- Jack Dorsey, co-founder of Twitter and Block, launched Buzz, which is being called a Slack killer because it's an agentic version of Slack where you converse and huddle with teammates' agents.
- The episode promises to explain what Buzz is, why to use it, and best practices, with the host framing it as a glimpse into the future of work.
- The guest Vinnie, whose tweet was retweeted by Jack Dorsey, says the sweet spot for Buzz right now is solopreneurs and small teams who want to brainstorm and keep context between agents.
- The host wants to determine by the end whether he should actually use Buzz or just continue using Slack.
Buzz's core selling point is openness and first-class agents with swappable harnesses
- Unlike Slack where agents are add-ons via integrations, in Buzz agents are first-class citizens and members of your team, not side features.
- The agent harness is swappable under any agent, so you can switch between Claude Code, Codex, or Goose without losing any context from your chats.
- This matters because AI moves at breakneck pace and users get model fatigue, so Buzz acts as a layer on top that lets you switch models while keeping all your accumulated context.
- Skills and skill files installed globally remain accessible to Buzz agents even after switching harnesses or models.
Audio huddles with agents and the vision of live agent interaction
- Buzz supports audio huddles with agents, allowing voice calls where agents respond and retain the context of the whole chat.
- The host notes his dream is eventually to FaceTime agents, calling it the holy grail of the future of work, and sees Buzz as scratching the surface of live interaction.
- The guest hasn't tried the huddle feature yet but has seen YouTube videos demonstrating it.
關鍵概念
- Buzz— Jack Dorsey's new agentic team chat app that is the main subject of the episode.
- agentic Slack killer— The framing that Buzz replaces Slack by making AI agents first-class team members.
- swappable agent harness— The ability to switch between Claude Code, Codex, Goose, and other harnesses without losing context.
精選金句
I get model fatigue where I'm just like, gosh, you know, I I just switched over to this. I just got used to this model. like I don't even want to hear the good things about model X because I'm still over here using model Y.
🎯— It names a widespread but rarely articulated exhaustion with the relentless pace of AI model releases, making listeners feel seen.
you don't lose anything in that switching process. You can change the harness under your agent and all the context that's in your chats... all that context comes with to that new harness, to that new model.
🤯— It reveals a hidden technical capability that solves the painful problem of losing context when switching AI tools.
可執行的洞察
🛠️AI Tool Strategy
Swappable harnesses and preserved context eliminate the pain of switching AI models.
This week, try switching the harness under one of your agents in Buzz and verify that your chat context carries over.
Buzz is best for solopreneurs and small teams iterating on small software, not complex engineering.
Assess your current project complexity and decide if Buzz fits; if yes, spin up a simple app idea in Buzz this week.
👥Team Collaboration
Agents are first-class team members, not add-ons, and can be huddled via audio.
Schedule a 15-minute audio huddle with an agent in Buzz to brainstorm a current team challenge.
Shared compute lets small teams pool resources to run local models affordably.
Discuss with your team whether pooling a single powerful machine for shared compute is feasible this month.
轉錄文字與 AI 洞察均由模型自動生成,可能存在少量誤差。辨識效果與音訊品質、語速及發音清晰度相關——若有內容看起來有誤,以原始音訊為準。
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