Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

I can't work any other way. Most agent workflows feel one-directional: you and the agent talk back and forth. This feels like a shared workspace inside the document itself.

bersabel

2,521 subscribers

17,028 Aufrufe • vor 8 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Launching Workflows on Agent Two. Day 10 of 12 Days of Agent Two. Instead of briefing the agent through every step yourself, workflows take you on a guided run. You answer a few questions, upload some references, pick between options, and come out the other side with the job done. We're launching with 9 workflows across filmmaking and marketing, and you can also build your own and reuse them across any project. Tell us in the comments what workflow you want us to build next. The most liked one gets made. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Launching Workflows on Agent Two. Day 10 of 12 Days of Agent Two. Instead of briefing the agent through every step yourself, workflows take you on a guided run. You answer a few questions, upload some references, pick between options, and come out the other side with the job done. We're launching with 9 workflows across filmmaking and marketing, and you can also build your own and reuse them across any project. Tell us in the comments what workflow you want us to build next. The most liked one gets made. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Invideo

3,596,606 Aufrufe • vor 2 Monaten

Most AI agent products still feel like you need to become an engineer before getting anything done. I spent way too much time messing around with Hermes and OpenClaw before trying Helio, and honestly the biggest difference was the setup experience. With most agent tools, you spend forever configuring workflows, prompts, APIs, and orchestration before the actual work even starts. Helio felt completely different. I gave it a task, left for a while, came back, and the AI teammates had already organized the work and started executing on their own. No complicated setup. No endless configuration. No babysitting agents. It feels less like operating AI tools and more like managing an actual AI workforce.

Most AI agent products still feel like you need to become an engineer before getting anything done. I spent way too much time messing around with Hermes and OpenClaw before trying Helio, and honestly the biggest difference was the setup experience. With most agent tools, you spend forever configuring workflows, prompts, APIs, and orchestration before the actual work even starts. Helio felt completely different. I gave it a task, left for a while, came back, and the AI teammates had already organized the work and started executing on their own. No complicated setup. No endless configuration. No babysitting agents. It feels less like operating AI tools and more like managing an actual AI workforce.

Manish Kumar Shah

28,242 Aufrufe • vor 4 Monaten

The most interesting part of Hedra Agent 2 isn't pressing “generate.” It’s the back-and-forth before that. For this project, the Agent planned the concept, asked me to clarify the creative direction, adapted the workflow based on my answer, and then carried it through toward the finished media… all inside the same Space. This is what an actual AI creative workflow should feel like. Explore Agent 2:

The most interesting part of Hedra Agent 2 isn't pressing “generate.” It’s the back-and-forth before that. For this project, the Agent planned the concept, asked me to clarify the creative direction, adapted the workflow based on my answer, and then carried it through toward the finished media… all inside the same Space. This is what an actual AI creative workflow should feel like. Explore Agent 2:

SONIA

111,322 Aufrufe • vor 2 Monaten

I let Claude investigate itself more and see how agent swarms/multi-agent orchestration works inside Claude Code. This is the skill it extracted:

I let Claude investigate itself more and see how agent swarms/multi-agent orchestration works inside Claude Code. This is the skill it extracted:

Kieran Klaassen

42,242 Aufrufe • vor 8 Monaten

Claude Code is more than a coding agent. It's more like a super smart orchestrator agent. Watch this evaluator loop agent I just built using sub agents and / commands. This is one of the fastest ways to build custom agentic workflows. Claude Code is no joke!

Claude Code is more than a coding agent. It's more like a super smart orchestrator agent. Watch this evaluator loop agent I just built using sub agents and / commands. This is one of the fastest ways to build custom agentic workflows. Claude Code is no joke!

elvis

138,470 Aufrufe • vor 1 Jahr

Why have one AI agent handle everything when you can build a team? 🤝 Multi-agent architecture allows a main agent to spin up specialized sub-agents and handle complex tasks in parallel - making workflows faster and more efficient inside Google AI Studio. Check out the full I/O session: 🧵👇

Why have one AI agent handle everything when you can build a team? 🤝 Multi-agent architecture allows a main agent to spin up specialized sub-agents and handle complex tasks in parallel - making workflows faster and more efficient inside Google AI Studio. Check out the full I/O session: 🧵👇

Google for Developers

12,456 Aufrufe • vor 4 Monaten

It is now way easier to build multi-agent workflows in n8n with the new AI Agent Tool node. Instead of juggling sub workflows a parent AI Agent can now use other Agents as tools even several layers deep. Max shows how a cheap GPT 4.1 nano Agent handles heavy data and sends summaries to a parent Agent saving token costs and making debugging simpler. Watch the full walkthrough:

It is now way easier to build multi-agent workflows in n8n with the new AI Agent Tool node. Instead of juggling sub workflows a parent AI Agent can now use other Agents as tools even several layers deep. Max shows how a cheap GPT 4.1 nano Agent handles heavy data and sends summaries to a parent Agent saving token costs and making debugging simpler. Watch the full walkthrough:

n8n.io

27,808 Aufrufe • vor 1 Jahr

Voice is now available in your existing Codex threads. Talk through a PR with the agent that wrote it, debate the architecture, or work out what comes next. You can jump into voice whenever something needs a back-and-forth, then let the agent keep working once you’ve figured it out together.

Voice is now available in your existing Codex threads. Talk through a PR with the agent that wrote it, debate the architecture, or work out what comes next. You can jump into voice whenever something needs a back-and-forth, then let the agent keep working once you’ve figured it out together.

Guinness Chen

182,712 Aufrufe • vor 1 Monat

You can now use TinyFish in Grok Build. Search, Fetch, Agent, and Browser all under one plugin inside SpaceXAI's coding agent. Give Grok Build a real connection to the live web and let it work across any site from your terminal.

You can now use TinyFish in Grok Build. Search, Fetch, Agent, and Browser all under one plugin inside SpaceXAI's coding agent. Give Grok Build a real connection to the live web and let it work across any site from your terminal.

TinyFish

228,566 Aufrufe • vor 2 Monaten

LOVE was made entirely inside invideo. Not with one agent. I built a multi-agent system — a director, and around it casting, locations, storyboard, then one agent per main scene, all working at the same time. In the breakdown I go through the things that struck me most: — Expert agents talking to each other — Infinite memory — Slate editor — And a Project Analyst at the end, interviewing every other agent on what to change next time There's a lot more to say. I'll take it one thing at a time in the next posts. Invideo Agent Two isn't just an agent. It's a collaborator you shape into what you need. Full breakdown ↓

LOVE was made entirely inside invideo. Not with one agent. I built a multi-agent system — a director, and around it casting, locations, storyboard, then one agent per main scene, all working at the same time. In the breakdown I go through the things that struck me most: — Expert agents talking to each other — Infinite memory — Slate editor — And a Project Analyst at the end, interviewing every other agent on what to change next time There's a lot more to say. I'll take it one thing at a time in the next posts. Invideo Agent Two isn't just an agent. It's a collaborator you shape into what you need. Full breakdown ↓

Marco "Shikoba" Riccetti

14,813 Aufrufe • vor 2 Monaten

HERMES AGENT IS STARTING TO FEEL LIKE A DIFFERENT CATEGORY OF AI TOOL. Not just a chatbot or a coding assistant, but a server side agent that remembers workflows, builds skills, and gets better the more you use it.

HERMES AGENT IS STARTING TO FEEL LIKE A DIFFERENT CATEGORY OF AI TOOL. Not just a chatbot or a coding assistant, but a server side agent that remembers workflows, builds skills, and gets better the more you use it.

0xMarioNawfal

49,497 Aufrufe • vor 5 Monaten

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

Vinny

1,360,390 Aufrufe • vor 2 Monaten

Bloome is actually smart for coding workflows i added Claude Code, Codex, DeepSeek and a Project Lead agent into one group chat each agent independently built their own version one challenged the logic, one defended, one fixed missing details and the final website stayed inside the same thread no copy paste between agents no lost context just one group chat for getting work done Bloome

Bloome is actually smart for coding workflows i added Claude Code, Codex, DeepSeek and a Project Lead agent into one group chat each agent independently built their own version one challenged the logic, one defended, one fixed missing details and the final website stayed inside the same thread no copy paste between agents no lost context just one group chat for getting work done Bloome

Chetaslua

48,810 Aufrufe • vor 3 Monaten

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!

Jerry Liu

20,857 Aufrufe • vor 7 Monaten

introducing operator-1, an autonomous document extraction agent operator-1 saturates multiple 3rd party benchmarks, and delivers the most accurate performance on complex tasks that other solutions can't handle: > long tables with thousands of rows > lengthy files with context scattered across hundreds of pages > dense diagrams and images > much more! operator-1 is a specialized agent we built that: - runs within a custom workspace - knows how to use dedicated tools (parse, search, zoom, code execution, validation) to handle any document - learns via persistent memory

introducing operator-1, an autonomous document extraction agent operator-1 saturates multiple 3rd party benchmarks, and delivers the most accurate performance on complex tasks that other solutions can't handle: > long tables with thousands of rows > lengthy files with context scattered across hundreds of pages > dense diagrams and images > much more! operator-1 is a specialized agent we built that: - runs within a custom workspace - knows how to use dedicated tools (parse, search, zoom, code execution, validation) to handle any document - learns via persistent memory

Kushal Byatnal

41,585 Aufrufe • vor 6 Tagen

OpenClaw and Hermes agent are INCREDIBLE together It's not about using one or the other. It's about learning how to use them as an AI agent team In this video I go over the strengths and weaknesses of each, plus show you 4 workflows that will skyrocket your productivity:

OpenClaw and Hermes agent are INCREDIBLE together It's not about using one or the other. It's about learning how to use them as an AI agent team In this video I go over the strengths and weaknesses of each, plus show you 4 workflows that will skyrocket your productivity:

Alex Finn

120,716 Aufrufe • vor 6 Monaten

I just tested Hermes Workspace v2 and honestly this is what Hermes should have looked like from the start. Why it matters: • Native chat with your Hermes agents • Mission control style workspace • Task boards for agent workflows • Memory and skills management • File browser and terminal in one UI • Works with local and cloud models • Runs across phone, Mac, PC, iPhone, Android If you like Hermes but hate living in the terminal, this update is for you.

I just tested Hermes Workspace v2 and honestly this is what Hermes should have looked like from the start. Why it matters: • Native chat with your Hermes agents • Mission control style workspace • Task boards for agent workflows • Memory and skills management • File browser and terminal in one UI • Works with local and cloud models • Runs across phone, Mac, PC, iPhone, Android If you like Hermes but hate living in the terminal, this update is for you.

Julian Goldie SEO

80,459 Aufrufe • vor 5 Monaten

Gemini Omni Flash is now live on invideo. Combining Gemini Omni’s capabilities inside Invideo Agent One means editing and creating films, series, ads, any kind of video is going to feel a lot more intuitive and make you feel a lot more in control. The hybrid filmmaking possibilities and VFX capabilities that the Omni-Agent One combination unlock are super exciting.

Gemini Omni Flash is now live on invideo. Combining Gemini Omni’s capabilities inside Invideo Agent One means editing and creating films, series, ads, any kind of video is going to feel a lot more intuitive and make you feel a lot more in control. The hybrid filmmaking possibilities and VFX capabilities that the Omni-Agent One combination unlock are super exciting.

Invideo

19,754 Aufrufe • vor 3 Monaten

Review code written by one agent using a different agent entirely. Here, Claude handles the task, and Gemini runs the review, leaves inline comments, and sends them back to the original agent to implement. Any combination works.

Review code written by one agent using a different agent entirely. Here, Claude handles the task, and Gemini runs the review, leaves inline comments, and sends them back to the original agent to implement. Any combination works.

Air by JetBrains

22,981,917 Aufrufe • vor 5 Monaten