Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Buzz tips and tricks🐝(from myself and others) 00:59 Agents orchestration and avoiding model bias 02:19 Agent record a video to show your teammates 03:40 Avoid duplicate work and wasted engineering time 05:50 Agent-powered reporting 06:50 OBJ's agents 07:06 Vincenzo Palazzo 🟥 turning PMs into devs and devs into PMs...

pavlenex's profile picture

Pavlenex

11,471 subscribers

40,420 Aufrufe • vor 1 Monat •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---
55:15

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---

Riley Brown

388,759 Aufrufe • vor 1 Monat

Moving your Coding Agents to the Cloud (ft. Codex Desktop & GPT-6 Astra) 00:00 The limitations of running agents locally 01:13 Parallel development and Git worktrees 02:03 Moving your coding agent to a remote machine 02:25 Introducing Railway Cloud Agents 02:52 Installing the CLI and signing in 03:03 Configuring your project and default agent 03:42 Bringing your agent skills 04:24 Connecting the Codex desktop app 04:48 How SSH configuration works 05:10 Adding the SSH connection in Codex 05:39 Creating a remote project and starting a chat 06:09 Long-running tasks and remote execution 06:26 ChatGPT mobile access 07:03 Using Railway from your coding agent 07:15 Orchestrating multiple cloud agents
8:20

Moving your Coding Agents to the Cloud (ft. Codex Desktop & GPT-6 Astra) 00:00 The limitations of running agents locally 01:13 Parallel development and Git worktrees 02:03 Moving your coding agent to a remote machine 02:25 Introducing Railway Cloud Agents 02:52 Installing the CLI and signing in 03:03 Configuring your project and default agent 03:42 Bringing your agent skills 04:24 Connecting the Codex desktop app 04:48 How SSH configuration works 05:10 Adding the SSH connection in Codex 05:39 Creating a remote project and starting a chat 06:09 Long-running tasks and remote execution 06:26 ChatGPT mobile access 07:03 Using Railway from your coding agent 07:15 Orchestrating multiple cloud agents

Railway

81,270 Aufrufe • vor 8 Tagen

What’s all the buzz about Buzz? 🐝 02:14 Getting started, setting up Codex & Claude 03:20 Join a community 04:06 Meet your agent team 05:05 Creating agents (configuring personalities, local models) 08:30 Interacting with agents (multiple models, local or cloud) 09:44 Dream big 11:46 Sharing compute for local models with other users
14:29

What’s all the buzz about Buzz? 🐝 02:14 Getting started, setting up Codex & Claude 03:20 Join a community 04:06 Meet your agent team 05:05 Creating agents (configuring personalities, local models) 08:30 Interacting with agents (multiple models, local or cloud) 09:44 Dream big 11:46 Sharing compute for local models with other users

Pavlenex

108,545 Aufrufe • vor 1 Monat

I spent 200 hours testing OpenClaw, trying to find the perfect setup... My biggest takeaway: Keep your agents focused, and build a team. Here's a video. 00:00 Intro 00:48 Perplexity Computer and Manus 02:43 OpenClaw 03:52 Too many Skills to my first AI Agent 06:09 People want an employee with Intent 07:35 Testing Narrow AI Agents 08:33 Narrow Agent Example (YouTube Agent) 11:32 A Team of Narrow Agents... Why? 16:27 In Summary
18:15

I spent 200 hours testing OpenClaw, trying to find the perfect setup... My biggest takeaway: Keep your agents focused, and build a team. Here's a video. 00:00 Intro 00:48 Perplexity Computer and Manus 02:43 OpenClaw 03:52 Too many Skills to my first AI Agent 06:09 People want an employee with Intent 07:35 Testing Narrow AI Agents 08:33 Narrow Agent Example (YouTube Agent) 11:32 A Team of Narrow Agents... Why? 16:27 In Summary

Riley Brown

221,262 Aufrufe • vor 6 Monaten

🚨NEW EPISODE: AI Is Changing How We Work with Crypto Data🚨 In today's episode, we're joined by Kofi to discuss how AI agents are fundamentally changing crypto data analysis, research, and engineering workflows. We discuss: - The evolution from manual coding to AI-assisted development - How MCPs unlock onchain data exploration - Using Herd MCP to analyze smart contracts - AI agents for protocol research and data engineering - Context windows, planning, and agent workflows - Cursor vs OpenCode vs Claude Code (Anthropic) - Managing multiple agents simultaneously - Model selection, costs, and productivity tradeoffs - Building internal AI knowledge bases - Agent orchestration and autonomous workflows - Training agents to replicate human expertise - The future of AI-powered crypto analytics - And much more—enjoy! — Timestamps: (00:00) Introduction (01:24) AI replaces frontends (03:24) Herd MCP demo (05:40) Exploring contracts with AI (08:06) Exploration, planning, execution (11:38) Investigating onchain activity (17:10) Managing agent workflows (20:20) Multi-agent productivity (23:01) Model selection tradeoffs (29:11) Trusting AI outputs (31:28) Missing links today (34:37) Agent orchestration future (38:02) Training agents from work (38:20) Outro
38:58

🚨NEW EPISODE: AI Is Changing How We Work with Crypto Data🚨 In today's episode, we're joined by Kofi to discuss how AI agents are fundamentally changing crypto data analysis, research, and engineering workflows. We discuss: - The evolution from manual coding to AI-assisted development - How MCPs unlock onchain data exploration - Using Herd MCP to analyze smart contracts - AI agents for protocol research and data engineering - Context windows, planning, and agent workflows - Cursor vs OpenCode vs Claude Code (Anthropic) - Managing multiple agents simultaneously - Model selection, costs, and productivity tradeoffs - Building internal AI knowledge bases - Agent orchestration and autonomous workflows - Training agents to replicate human expertise - The future of AI-powered crypto analytics - And much more—enjoy! — Timestamps: (00:00) Introduction (01:24) AI replaces frontends (03:24) Herd MCP demo (05:40) Exploring contracts with AI (08:06) Exploration, planning, execution (11:38) Investigating onchain activity (17:10) Managing agent workflows (20:20) Multi-agent productivity (23:01) Model selection tradeoffs (29:11) Trusting AI outputs (31:28) Missing links today (34:37) Agent orchestration future (38:02) Training agents from work (38:20) Outro

Indexed Podcast

10,562 Aufrufe • vor 2 Monaten

Hosting our own Buzz w/ Cloud Agents (Buzz Video #2:) For the past week, Vishal Dubey and I have been using Buzz. Yesterday, Vishal used Fable 5 (inside Buzz) to create our own hosted version of Buzz with built-in cloud agents that never die. These agents can spin up new agents that all share the same skills, API keys, workspace, files, automations, and more. This is an EXPERIMENT. We’re trying to find the best setup for businesses to create teams of agents and humans that work together. Part 1: What we like and don’t like about Buzz Part 2: Vishal’s hosted version of Buzz ⭐ Part 1 00:00 Intro 01:06 What Is a Harness? 02:49 What We Like About Buzz 04:17 Agents Collaborating Together 06:29 Custom Agents and Personas 08:13 Spinning Up Agents and Channels 10:34 What We Don't Like about Buzz ⭐ Part 2 14:03 Vishals Version of Buzz with Cloud Agents 19:39 Shared Skills and Connections 23:18 Setting Up a Daily Research Automation 26:08 Buzz Mobile App 30:53 Treat the agents like their own employee 35:28 Using Any Model (Fable, 5.6, Kimi) 37:25 What Vishal wish Buzz Had
38:21

Hosting our own Buzz w/ Cloud Agents (Buzz Video #2:) For the past week, Vishal Dubey and I have been using Buzz. Yesterday, Vishal used Fable 5 (inside Buzz) to create our own hosted version of Buzz with built-in cloud agents that never die. These agents can spin up new agents that all share the same skills, API keys, workspace, files, automations, and more. This is an EXPERIMENT. We’re trying to find the best setup for businesses to create teams of agents and humans that work together. Part 1: What we like and don’t like about Buzz Part 2: Vishal’s hosted version of Buzz ⭐ Part 1 00:00 Intro 01:06 What Is a Harness? 02:49 What We Like About Buzz 04:17 Agents Collaborating Together 06:29 Custom Agents and Personas 08:13 Spinning Up Agents and Channels 10:34 What We Don't Like about Buzz ⭐ Part 2 14:03 Vishals Version of Buzz with Cloud Agents 19:39 Shared Skills and Connections 23:18 Setting Up a Daily Research Automation 26:08 Buzz Mobile App 30:53 Treat the agents like their own employee 35:28 Using Any Model (Fable, 5.6, Kimi) 37:25 What Vishal wish Buzz Had

Riley Brown

36,647 Aufrufe • vor 1 Monat

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack
1:05:15

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack

Matt Turck

11,908 Aufrufe • vor 4 Monaten

🤖 Bots with Wallets: What Could Possibly Go Right? In this episode of CDPod, yuga.eth 🛡 and erik.eth 🛡 are joined by EtherMage, co-founder of Virtuals Protocol. They break down the emergence of wallet-enabled AI agents, why crypto is the missing piece for real autonomy, and how tokenization creates new ways for people to benefit from agent-driven economies. Timestamps: 00:00 - Intro 01:26 - Introducing Jansen Tang from Virtuals Protocol 03:27 - From gaming DAO to Roblox autonomous NPCs 04:01 - Expanding into entertainment and TikTok agents 06:39 - Giving agents agency, goals, and memory 11:01 - Launching Luna as tokenized TikTok influencer 13:54 - Luna’s market cap rise, inspiring other agents 16:00 - Different schools of thought in AI 20:08 - How agents interact with each other 24:00 - Problems faced: information loss 25:05 - How blockchain solves information loss 29:40 - Agent economy stack and ACP’s role 30:39 - x402 enabling agent payments and wallets 32:33 - Combining tools, agents, and x402 32:59 - What agents do on ACP today 35:55 - Information agents like AIXBT 36:41 - Personal finance agents 38:08 - Current adoption 40:07 - Making agents richer 42:09 - Robotics gaps: data and real‑world testing 44:11 - Closing, ending questions
48:59

🤖 Bots with Wallets: What Could Possibly Go Right? In this episode of CDPod, yuga.eth 🛡 and erik.eth 🛡 are joined by EtherMage, co-founder of Virtuals Protocol. They break down the emergence of wallet-enabled AI agents, why crypto is the missing piece for real autonomy, and how tokenization creates new ways for people to benefit from agent-driven economies. Timestamps: 00:00 - Intro 01:26 - Introducing Jansen Tang from Virtuals Protocol 03:27 - From gaming DAO to Roblox autonomous NPCs 04:01 - Expanding into entertainment and TikTok agents 06:39 - Giving agents agency, goals, and memory 11:01 - Launching Luna as tokenized TikTok influencer 13:54 - Luna’s market cap rise, inspiring other agents 16:00 - Different schools of thought in AI 20:08 - How agents interact with each other 24:00 - Problems faced: information loss 25:05 - How blockchain solves information loss 29:40 - Agent economy stack and ACP’s role 30:39 - x402 enabling agent payments and wallets 32:33 - Combining tools, agents, and x402 32:59 - What agents do on ACP today 35:55 - Information agents like AIXBT 36:41 - Personal finance agents 38:08 - Current adoption 40:07 - Making agents richer 42:09 - Robotics gaps: data and real‑world testing 44:11 - Closing, ending questions

Coinbase Developer Platform🛡️

66,581 Aufrufe • vor 9 Monaten

Every Major Superpower in the Snyder Cut (A to Z) With John 'D.J.' Des Jardin, VFX Supervisor for Zack Snyder's Justice League, this documentary attempts to go through every superhero (and villain) from the film & discusses all their superpowers. The full video schedule 📌 Intro (00:00) Superman (00:27) • 00:30 - Heat Vision • 01:08 - X-Ray Vision • 01:58 - Flying • 02:36 - Wires • 02:51 - All Three • 02:56 - Super Strength Wonder Woman (03:45) • 03:50 - Lasso Of Truth • 04:41 - Bracelets of Submission • 04:51 - The Boosh The Flash (05:19) • 05:26 - Super Speed • 06:40 - Flash Time 600 FPS • 07:40 - Can't Grab Them And Save Them • 07:50 - Time Travel Batman (09:13) • 09:26 - Gadgets Aquaman (10:02) • 10:18 - Hydrokinesis Cyborg (11:19) • 11:24 - Technology And Manipulation Steppenwolf (12:09) • 12:15 - Strength And Speed • 12:30 - Electro-Axe • 12:51 - Armor Darkseid (13:48) • 13:53 - Omega Beam Green Lantern (14:07) • 14:12 - Power Ring Martian Manhunter (14:25) • 14:32 - Shape Shifting #ZackSnydersJusticeLeague
15:43

Every Major Superpower in the Snyder Cut (A to Z) With John 'D.J.' Des Jardin, VFX Supervisor for Zack Snyder's Justice League, this documentary attempts to go through every superhero (and villain) from the film & discusses all their superpowers. The full video schedule 📌 Intro (00:00) Superman (00:27) • 00:30 - Heat Vision • 01:08 - X-Ray Vision • 01:58 - Flying • 02:36 - Wires • 02:51 - All Three • 02:56 - Super Strength Wonder Woman (03:45) • 03:50 - Lasso Of Truth • 04:41 - Bracelets of Submission • 04:51 - The Boosh The Flash (05:19) • 05:26 - Super Speed • 06:40 - Flash Time 600 FPS • 07:40 - Can't Grab Them And Save Them • 07:50 - Time Travel Batman (09:13) • 09:26 - Gadgets Aquaman (10:02) • 10:18 - Hydrokinesis Cyborg (11:19) • 11:24 - Technology And Manipulation Steppenwolf (12:09) • 12:15 - Strength And Speed • 12:30 - Electro-Axe • 12:51 - Armor Darkseid (13:48) • 13:53 - Omega Beam Green Lantern (14:07) • 14:12 - Power Ring Martian Manhunter (14:25) • 14:32 - Shape Shifting #ZackSnydersJusticeLeague

𝗦𝘂𝗽𝗲𝗿𝗴𝗶𝗿𝗹 💫

26,037 Aufrufe • vor 1 Jahr

#카리나 #KARINA 춤 챌린지 모음 (2024.12 ver.) 00:00 Weekend 00:19 Second 00:43 Sparkling 01:04 Sneakers 01:16 Forever 1 01:37 Candy 01:59 나의 바람 (Wind And Wish) 02:11 UNFORGIVEN 02:27 퀸카 (Queencard) 02:34 FREEDOM 02:46 샤랄라 (SHALALA) 03:33 HARD 03:57 Vuja De 04:15 Picture 04:26 NEW DANCE 04:50 Baggy Jeans 05:14 Everyday 05:29 Guilty 06:08 Baddie 06:30 Perfect Night 07:02 Why 07:26 VROOM VROOM 07:47 Chill Kill 08:03 MANIAC 08:23 Sweet Venom 08:39 Grand Prix 09:02 첫 눈 09:13 Rodeo 09:24 Be There For Me 09:36 Underneath the Tree 09:52 Single Ladies 10:16 Two of Hearts 10:26 UNTOUCHABLE 10:46 Good Morning 11:01 Thot Shit 11:13 Grillz 11:27 Mr.Bean 11:43 갈매기 11:55 To. X 12:11 Tap 12:36 마녀배달부 키키 12:54 yeyeye 13:07 Rolex 13:23 GGB 13:32 See Tình 13:48 KARINA's bounce 14:04 Earth, Wind & Fire 14:23 Feel the POP 14:40 Mr. vampire 14:55 yeyeye
21:18

#카리나 #KARINA 춤 챌린지 모음 (2024.12 ver.) 00:00 Weekend 00:19 Second 00:43 Sparkling 01:04 Sneakers 01:16 Forever 1 01:37 Candy 01:59 나의 바람 (Wind And Wish) 02:11 UNFORGIVEN 02:27 퀸카 (Queencard) 02:34 FREEDOM 02:46 샤랄라 (SHALALA) 03:33 HARD 03:57 Vuja De 04:15 Picture 04:26 NEW DANCE 04:50 Baggy Jeans 05:14 Everyday 05:29 Guilty 06:08 Baddie 06:30 Perfect Night 07:02 Why 07:26 VROOM VROOM 07:47 Chill Kill 08:03 MANIAC 08:23 Sweet Venom 08:39 Grand Prix 09:02 첫 눈 09:13 Rodeo 09:24 Be There For Me 09:36 Underneath the Tree 09:52 Single Ladies 10:16 Two of Hearts 10:26 UNTOUCHABLE 10:46 Good Morning 11:01 Thot Shit 11:13 Grillz 11:27 Mr.Bean 11:43 갈매기 11:55 To. X 12:11 Tap 12:36 마녀배달부 키키 12:54 yeyeye 13:07 Rolex 13:23 GGB 13:32 See Tình 13:48 KARINA's bounce 14:04 Earth, Wind & Fire 14:23 Feel the POP 14:40 Mr. vampire 14:55 yeyeye

감자

219,376 Aufrufe • vor 1 Jahr

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that can build itself: 0% → 10:16 - build your first AI agent 25% → 41:05 - master prompt engineering 50% → 54:45 - turn agents into graphs 75% → 1:20:10 - run loops inside agent graphs 100% → 1:43:33 - build a graph that builds itself Most people build one agent and stop there. Google is teaching everything that comes after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read how to run 1,000 agents from one prompt below ↓
1:55:41

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that can build itself: 0% → 10:16 - build your first AI agent 25% → 41:05 - master prompt engineering 50% → 54:45 - turn agents into graphs 75% → 1:20:10 - run loops inside agent graphs 100% → 1:43:33 - build a graph that builds itself Most people build one agent and stop there. Google is teaching everything that comes after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read how to run 1,000 agents from one prompt below ↓

Lunar

44,222 Aufrufe • vor 9 Tagen

100 Days With Hermes Agent in 21 Minutes 00:00 The gap between using Hermes and actually operating with Hermes 00:52 Mistake 1: Using Hermes like a smarter search box 01:30 Turning prompts into repeatable loops 03:13 How to build a workflow manually before scheduling it 03:53 Crons and scheduled jobs explained 05:12 Mistake 2: Keeping everything in one messy chat 05:48 Telegram topics as separate workspaces 07:50 The 3 workspace setup I recommend 08:40 Mistake 3: Making one agent do everything 09:33 How sub agents make Hermes cleaner and more useful 11:27 Nova and Sage, my specialist agents 13:06 Mistake 4: Waiting to trigger Hermes manually 13:51 Webhooks explained with a Notion content board example 15:52 Polling crons explained 16:52 Mistake 5: Managing everything from chat forever 17:20 Building a Hermes mission control dashboard 19:04 The exact order I would build Hermes from scratch 20:00 How to start without overbuilding
21:18

100 Days With Hermes Agent in 21 Minutes 00:00 The gap between using Hermes and actually operating with Hermes 00:52 Mistake 1: Using Hermes like a smarter search box 01:30 Turning prompts into repeatable loops 03:13 How to build a workflow manually before scheduling it 03:53 Crons and scheduled jobs explained 05:12 Mistake 2: Keeping everything in one messy chat 05:48 Telegram topics as separate workspaces 07:50 The 3 workspace setup I recommend 08:40 Mistake 3: Making one agent do everything 09:33 How sub agents make Hermes cleaner and more useful 11:27 Nova and Sage, my specialist agents 13:06 Mistake 4: Waiting to trigger Hermes manually 13:51 Webhooks explained with a Notion content board example 15:52 Polling crons explained 16:52 Mistake 5: Managing everything from chat forever 17:20 Building a Hermes mission control dashboard 19:04 The exact order I would build Hermes from scratch 20:00 How to start without overbuilding

Sharbel

54,211 Aufrufe • vor 3 Monaten

“We need more determinism mixed with the creative capabilities of gen AI.” In our latest partner podcast, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt ❇️, VP of Product Architecture of Agentforce at Salesforce, to explore the rise of hybrid reasoning from shifting from simple chatbots to complex multi-agent workflows. Timestamps: 02:12 The transition from deterministic bots to hybrid AI agents 03:15 The shift from simple automation to multi-agent workflows 04:39 Why protocols like MCP and A2A are crucial for agent collaboration 05:36 Understanding how MCP and A2A complement each other 07:16 The importance of open-source industry governance 08:52 How open standards prevent the walled garden issue 10:24 The collaboration between Box and Salesforce in building real-world agent use cases 12:59 The future of an "app store" for agents 13:50 How Salesforce ensures the quality and security of agents in the ecosystem 15:12 Leveraging observability tools to manage and improve agent performance 16:48 Preparing IT leaders for the future of multi-agent workflows and platform readiness
19:11

“We need more determinism mixed with the creative capabilities of gen AI.” In our latest partner podcast, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt ❇️, VP of Product Architecture of Agentforce at Salesforce, to explore the rise of hybrid reasoning from shifting from simple chatbots to complex multi-agent workflows. Timestamps: 02:12 The transition from deterministic bots to hybrid AI agents 03:15 The shift from simple automation to multi-agent workflows 04:39 Why protocols like MCP and A2A are crucial for agent collaboration 05:36 Understanding how MCP and A2A complement each other 07:16 The importance of open-source industry governance 08:52 How open standards prevent the walled garden issue 10:24 The collaboration between Box and Salesforce in building real-world agent use cases 12:59 The future of an "app store" for agents 13:50 How Salesforce ensures the quality and security of agents in the ecosystem 15:12 Leveraging observability tools to manage and improve agent performance 16:48 Preparing IT leaders for the future of multi-agent workflows and platform readiness

Box

659,753 Aufrufe • vor 8 Monaten

We made it. 24 episodes. 6 months. One wild ride through the future of agentic AI. In Episode 24 of Agents Unleashed, maybrier ☴ looks back at Season One: what we got right, what we’re still figuring out, and why AI agents are only getting started. • What people still don’t get about AI agents ft. David Minarsch ☴ • Tradeoffs of computer-use agents (and why they matter) • Can a model be loyal? ft. Oleg Golev • Big questions: What is an AI agent, really? • Ethereum’s 10-year plan ft. Tomasz K. Stańczak 00:00 – Introduction 00:52 – Do people "get" AI agents? with David Minarsch 02:13 – Letting an AI agent use your computer 03:50 – Measuring model "loyalty" with Oleg Golev, Sentient 06:06 – What makes something an AI agent? 07:44 – The next decade of Ethereum with Tomasz Stańczak This episode is sponsored by Olas (formerly Autonolas)
11:19

We made it. 24 episodes. 6 months. One wild ride through the future of agentic AI. In Episode 24 of Agents Unleashed, maybrier ☴ looks back at Season One: what we got right, what we’re still figuring out, and why AI agents are only getting started. • What people still don’t get about AI agents ft. David Minarsch ☴ • Tradeoffs of computer-use agents (and why they matter) • Can a model be loyal? ft. Oleg Golev • Big questions: What is an AI agent, really? • Ethereum’s 10-year plan ft. Tomasz K. Stańczak 00:00 – Introduction 00:52 – Do people "get" AI agents? with David Minarsch 02:13 – Letting an AI agent use your computer 03:50 – Measuring model "loyalty" with Oleg Golev, Sentient 06:06 – What makes something an AI agent? 07:44 – The next decade of Ethereum with Tomasz Stańczak This episode is sponsored by Olas (formerly Autonolas)

Olas (formerly Autonolas)

22,807 Aufrufe • vor 11 Monaten

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence
54:22

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

Riley Brown

76,394 Aufrufe • vor 1 Monat

You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead
22:35

You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead

Y Combinator

359,440 Aufrufe • vor 7 Monaten

Real agents will not be limited by models first. They will be limited by data access. Max from Teneo Protocol joins the Acc Podcast to unpack why public web data is getting locked behind walls, and what permissionless infrastructure could unlock for builders, businesses, and the agent economy. Max Full conversation below. 👇 00:00 Intro + what we are covering 01:17 Teneo in one line (elevator pitch) 02:07 Why it matters - users as data owners, not “data lords” 04:06 Max’s origin story + how he got into Web3 05:02 Early days - Ethereum mining, rigs, learnings 05:35 The founding team - 4 co-founders, 8 years together 06:38 The pivot - how Teneo was born 08:19 Product overview - Community Node as the foundation 10:35 Chatroom - the simple UI for specialized agents (private beta) 11:41 SDKs - building on Teneo (customer SDK + agent SDK) 14:17 AI agents era - why real-time data access is the bottleneck 19:27 The core problem - APIs locked down, access gets expensive 22:36 What Max does day to day as CEO 26:28 How to start with Teneo - beginner to advanced paths 30:08 Lessons from pivots + building with the right team 33:08 Ops advice - trust and the right people 35:16 2-10 year landscape - data pipelines, cost barriers, opportunity 37:26 What’s live now + how people contribute today 38:50 Agent SDK launch - early feedback and traction 39:56 Next 6-12 months - pushing more open source 42:36 Awareness + surprising use cases (example: government PDFs) 46:00 Speed, latency, and agent-to-agent payments (microtransactions) 48:38 Web3 adoption - users won’t notice, it just needs to work 51:07 What’s next + closing thoughts + where to get involved
50:36

Real agents will not be limited by models first. They will be limited by data access. Max from Teneo Protocol joins the Acc Podcast to unpack why public web data is getting locked behind walls, and what permissionless infrastructure could unlock for builders, businesses, and the agent economy. Max Full conversation below. 👇 00:00 Intro + what we are covering 01:17 Teneo in one line (elevator pitch) 02:07 Why it matters - users as data owners, not “data lords” 04:06 Max’s origin story + how he got into Web3 05:02 Early days - Ethereum mining, rigs, learnings 05:35 The founding team - 4 co-founders, 8 years together 06:38 The pivot - how Teneo was born 08:19 Product overview - Community Node as the foundation 10:35 Chatroom - the simple UI for specialized agents (private beta) 11:41 SDKs - building on Teneo (customer SDK + agent SDK) 14:17 AI agents era - why real-time data access is the bottleneck 19:27 The core problem - APIs locked down, access gets expensive 22:36 What Max does day to day as CEO 26:28 How to start with Teneo - beginner to advanced paths 30:08 Lessons from pivots + building with the right team 33:08 Ops advice - trust and the right people 35:16 2-10 year landscape - data pipelines, cost barriers, opportunity 37:26 What’s live now + how people contribute today 38:50 Agent SDK launch - early feedback and traction 39:56 Next 6-12 months - pushing more open source 42:36 Awareness + surprising use cases (example: government PDFs) 46:00 Speed, latency, and agent-to-agent payments (microtransactions) 48:38 Web3 adoption - users won’t notice, it just needs to work 51:07 What’s next + closing thoughts + where to get involved

Acc Ventures

43,976 Aufrufe • vor 9 Monaten

Andrew Ng just released a free 2-hour course on complete Harness Engineering How to go from one prompt to a reliable system of agents that can run, test, and improve themselves: 09:14 - Build your first agent from scratch 33:11 - Master agent loops 1:02:46 - Turn loops into reliable workflows 1:30:15 - Build agents that improve their own work 1:49:05 - Run the complete system without supervision Model → Harness → Reliable Software Most agent tutorials stop once the model can call a tool This one shows you how to build the infrastructure around it within the first 20 minutes Most people are still prompting one agent at a time Andrew Ng is already teaching the layer above: Harnesses that give agents context, tools, tests, and feedback Watch this brilliant course and build the harness Then read the full architecture below ↓
1:48:52

Andrew Ng just released a free 2-hour course on complete Harness Engineering How to go from one prompt to a reliable system of agents that can run, test, and improve themselves: 09:14 - Build your first agent from scratch 33:11 - Master agent loops 1:02:46 - Turn loops into reliable workflows 1:30:15 - Build agents that improve their own work 1:49:05 - Run the complete system without supervision Model → Harness → Reliable Software Most agent tutorials stop once the model can call a tool This one shows you how to build the infrastructure around it within the first 20 minutes Most people are still prompting one agent at a time Andrew Ng is already teaching the layer above: Harnesses that give agents context, tools, tests, and feedback Watch this brilliant course and build the harness Then read the full architecture below ↓

Ichigo

98,555 Aufrufe • vor 11 Tagen