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RIP Zapier AI agents now operate inside your actual workflows, Notion, Slack, Discord, whatever. I spun one up to turn Slack threads into docs, summaries, and tasks fully automated. Absolutely cracked. 5 powerful examples + Link to try:

Robin Delta

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46,731 views • 1 year ago •via X (Twitter)

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🔥 Introducing Skywork Mobile App 5.0—the world’s first native mobile app for Super AI Agents. - Meet VoiceNotes: Turn a single voice memo into clean summaries, transcripts, and visual notes. - Super Agent: Carry a crew of expert minds in your pocket. Run up to 3 expert agents in parallel to tackle complex tasks instantly. Skywork App 5.0 is now available for both iOS and Android.

🔥 Introducing Skywork Mobile App 5.0—the world’s first native mobile app for Super AI Agents. - Meet VoiceNotes: Turn a single voice memo into clean summaries, transcripts, and visual notes. - Super Agent: Carry a crew of expert minds in your pocket. Run up to 3 expert agents in parallel to tackle complex tasks instantly. Skywork App 5.0 is now available for both iOS and Android.

Skywork

276,527 views • 9 months ago

I compiled 200+ n8n automation templates you can copy & paste into your business or sell to other companies. Just straight plug-and-play systems for: – Lead gen -Content creation – Email outreach – CRM updates – AI workflows – Slack/Discord bots …and more. Follow + Reply “n8n” and I’ll send it over. This is completely FREE. Don't even want your email.

I compiled 200+ n8n automation templates you can copy & paste into your business or sell to other companies. Just straight plug-and-play systems for: – Lead gen -Content creation – Email outreach – CRM updates – AI workflows – Slack/Discord bots …and more. Follow + Reply “n8n” and I’ll send it over. This is completely FREE. Don't even want your email.

Damian Player

9,136,352 views • 1 year ago

Today we're introducing Slite as the first self-maintaining Knowledge Base Your wiki docs go outdated everyday, and your agents depend on them for your most ambitious workflows. Slite monitors your docs' accuracy from all other work tools (slack, jira, linear, codebase, etc) while you sleep and updates them. It even directly talks to your AI agents to give them accurate context without burning their context window or tool calls. You've been trying to build this 'company brain' for months now with hacky MVPs This is the final version of what you need, already built to be collaborative, headless, and secure. Check it out and HMU if you need this for your team, I'll be running personal onboardings for the next few days!

Today we're introducing Slite as the first self-maintaining Knowledge Base Your wiki docs go outdated everyday, and your agents depend on them for your most ambitious workflows. Slite monitors your docs' accuracy from all other work tools (slack, jira, linear, codebase, etc) while you sleep and updates them. It even directly talks to your AI agents to give them accurate context without burning their context window or tool calls. You've been trying to build this 'company brain' for months now with hacky MVPs This is the final version of what you need, already built to be collaborative, headless, and secure. Check it out and HMU if you need this for your team, I'll be running personal onboardings for the next few days!

Christophe Pasquier

18,225 views • 3 months ago

Postman's AI-readiness Playbook is one of the most important documents you can read today as a developer! We are headed into an era where every website must be "Agent-ready". - Agents will make purchases, not humans. - Agents will find the best options, not humans. - Agents will fill out job applications, not humans. The same applies to APIs. While human devs can hustle through poor docs and broken endpoints, most Agents can’t (yet). They need: - Predictable structures - Machine-readable metadata - Standardized behavior Postman's 90-day AI readiness playbook details how to turn your APIs into reliable, AI-ready tools. My two biggest takeaways from the Playbook: 1) Automatic documentation (Week 3): Once you standardize your API format, Postman’s Spec Hub automatically generates and validates API docs for both humans and AI agents without any manual work. 2) Seamless AI tooling (Week 9): Turn your validated specs into hosted, function-style endpoints, letting AI agents invoke your APIs like native commands. Find the link to the Playbook in the comments. Thanks to the Postman team for partnering on today's post!

Postman's AI-readiness Playbook is one of the most important documents you can read today as a developer! We are headed into an era where every website must be "Agent-ready". - Agents will make purchases, not humans. - Agents will find the best options, not humans. - Agents will fill out job applications, not humans. The same applies to APIs. While human devs can hustle through poor docs and broken endpoints, most Agents can’t (yet). They need: - Predictable structures - Machine-readable metadata - Standardized behavior Postman's 90-day AI readiness playbook details how to turn your APIs into reliable, AI-ready tools. My two biggest takeaways from the Playbook: 1) Automatic documentation (Week 3): Once you standardize your API format, Postman’s Spec Hub automatically generates and validates API docs for both humans and AI agents without any manual work. 2) Seamless AI tooling (Week 9): Turn your validated specs into hosted, function-style endpoints, letting AI agents invoke your APIs like native commands. Find the link to the Playbook in the comments. Thanks to the Postman team for partnering on today's post!

Avi Chawla

22,830 views • 1 year ago

Every new thing launched at ZapConnect: First up: Unified Copilot. Type what you want, and it builds across Zaps, Tables, Interfaces, and Agents: - Workflows in minutes (not days) - Context flows everywhere (no rework) - AI does the wiring so you focus on strategy (Try it here: We also shipped: 1. Human-in-the-loop 2. Over 30 new AI apps: Perplexity, Mistral, Cursor, DeepSeek + more 3. Agent Sharing: Build once, deploy to your whole org 4. Enterprise controls your IT team will actually like Oh and Tables + Interfaces are now included in every Zapier plan. Missed the event? Replay’s up now.

Every new thing launched at ZapConnect: First up: Unified Copilot. Type what you want, and it builds across Zaps, Tables, Interfaces, and Agents: - Workflows in minutes (not days) - Context flows everywhere (no rework) - AI does the wiring so you focus on strategy (Try it here: We also shipped: 1. Human-in-the-loop 2. Over 30 new AI apps: Perplexity, Mistral, Cursor, DeepSeek + more 3. Agent Sharing: Build once, deploy to your whole org 4. Enterprise controls your IT team will actually like Oh and Tables + Interfaces are now included in every Zapier plan. Missed the event? Replay’s up now.

Wade Foster

21,348 views • 1 year ago

Every AI tool claims it’ll save you time. Most just shift the workload somewhere else. Viktor is different ....it actually takes work off your plate. This week, I watched it work more like a real teammate than another chatbot sitting inside Slack. It understands context, takes ownership of tasks, and keeps things moving without constant instructions. That’s the real difference: you don’t just use Viktor. You delegate to it. Try Viktor for your team. Get $100 in credits with no card required. Full link in the first comment. Paid Partnership

Every AI tool claims it’ll save you time. Most just shift the workload somewhere else. Viktor is different ....it actually takes work off your plate. This week, I watched it work more like a real teammate than another chatbot sitting inside Slack. It understands context, takes ownership of tasks, and keeps things moving without constant instructions. That’s the real difference: you don’t just use Viktor. You delegate to it. Try Viktor for your team. Get $100 in credits with no card required. Full link in the first comment. Paid Partnership

LX™

87,475 views • 1 month ago

CopilotKit Open Sources Channels SDK: An MIT Licensed Library That Runs Any AG-UI Agent Inside Slack And Microsoft Teams No per-platform rewrite. No platform credentials in your agent process. No second agent to maintain. Here's how it works: 1. Describe once, render native One message description is lowered to a serializable intermediate representation, then rendered in each platform's own format. → Block Kit on Slack, Adaptive Cards on Teams 2. Your agent doesn't move It connects over AG-UI, so the model, tools and business logic stay where they are. → LangGraph, CrewAI, Mastra, Pydantic AI, Google ADK 3. The runtime owns the lifecycle There is no channel.start(). You await channels.ready(), so a broken config fails startup loudly instead of silently. → ready() · status() · stop() 4. The concurrency trap Turns default to "parallel", and only the managed adapter serializes same-thread deliveries. On a direct adapter, one shared agent instance means two runs corrupt each other. → "parallel" (default) · "serial" · "drop" 5. The numbers → 0.7.3, shipped August 4, MIT licensed → 5 adapters: /slack, /teams, /discord, /telegram, /whatsapp → Node.js 22+, ESM only, one long-running process → Slack and Teams GA; Discord and WhatsApp next The key takeaway: one agent, five adapters, and platform credentials that never touch your process. Every channel needs a CopilotKit Intelligence key — free tier included, no standalone path. Full analysis: GitHub Repo: Technical details: CopilotKit🪁

CopilotKit Open Sources Channels SDK: An MIT Licensed Library That Runs Any AG-UI Agent Inside Slack And Microsoft Teams No per-platform rewrite. No platform credentials in your agent process. No second agent to maintain. Here's how it works: 1. Describe once, render native One message description is lowered to a serializable intermediate representation, then rendered in each platform's own format. → Block Kit on Slack, Adaptive Cards on Teams 2. Your agent doesn't move It connects over AG-UI, so the model, tools and business logic stay where they are. → LangGraph, CrewAI, Mastra, Pydantic AI, Google ADK 3. The runtime owns the lifecycle There is no channel.start(). You await channels.ready(), so a broken config fails startup loudly instead of silently. → ready() · status() · stop() 4. The concurrency trap Turns default to "parallel", and only the managed adapter serializes same-thread deliveries. On a direct adapter, one shared agent instance means two runs corrupt each other. → "parallel" (default) · "serial" · "drop" 5. The numbers → 0.7.3, shipped August 4, MIT licensed → 5 adapters: /slack, /teams, /discord, /telegram, /whatsapp → Node.js 22+, ESM only, one long-running process → Slack and Teams GA; Discord and WhatsApp next The key takeaway: one agent, five adapters, and platform credentials that never touch your process. Every channel needs a CopilotKit Intelligence key — free tier included, no standalone path. Full analysis: GitHub Repo: Technical details: CopilotKit🪁

Marktechpost AI

42,673 views • 1 month ago

Seedance 2.5 is now available on CapCut. Create and edit AI videos in one seamless workflow. What stands out: • More controllable video generation and editing • Timestamp-based storyline control • Support for up to 50 reference images • Generate videos up to 90 seconds • Viewport render and green screen workflows • Enhanced multilingual performance From your first prompt to the final edit, everything stays inside CapCut. Try it here: 🌐 Web: 📱 App: #CapCut #Seedance25 #CapCutai #CapCutDidThat

Seedance 2.5 is now available on CapCut. Create and edit AI videos in one seamless workflow. What stands out: • More controllable video generation and editing • Timestamp-based storyline control • Support for up to 50 reference images • Generate videos up to 90 seconds • Viewport render and green screen workflows • Enhanced multilingual performance From your first prompt to the final edit, everything stays inside CapCut. Try it here: 🌐 Web: 📱 App: #CapCut #Seedance25 #CapCutai #CapCutDidThat

Akash

17,353 views • 2 months ago

most people open Claude every morning and re-explain their entire life. every. single. time. then I built 7 layers that remember everything: Layer 1: tell Claude who I am, once Layer 2: build separate brains for separate work Layer 3: turn on memory so it learns me Layer 4: upload 5 writing samples so it sounds like me Layer 5: dump my world into project files Layer 6: connect Gmail, Calendar, Drive, Slack Layer 7: schedule tasks that run while I sleep 60 minutes to set up. spread across one week. now Claude finishes my sentences. knows which client I mean from one word. catches mistakes I'd miss. it's not a chatbot anymore. it's a personal AI that knows me better than most coworkers do. your AI doesn't know you yet. this article fixes that.

most people open Claude every morning and re-explain their entire life. every. single. time. then I built 7 layers that remember everything: Layer 1: tell Claude who I am, once Layer 2: build separate brains for separate work Layer 3: turn on memory so it learns me Layer 4: upload 5 writing samples so it sounds like me Layer 5: dump my world into project files Layer 6: connect Gmail, Calendar, Drive, Slack Layer 7: schedule tasks that run while I sleep 60 minutes to set up. spread across one week. now Claude finishes my sentences. knows which client I mean from one word. catches mistakes I'd miss. it's not a chatbot anymore. it's a personal AI that knows me better than most coworkers do. your AI doesn't know you yet. this article fixes that.

Nav Toor

62,558 views • 4 months ago

just unlocked the deepest vault of n8n automations on the internet - and you can get them for free. I had my VA scrape and sort every useful n8n repo on the internet by hand.. and I'm now sitting on a clean, categorized directory of 1500+ workflows inside the vault you'll find: – RAG analysis & AI research flows – lead scoring and CRM updates, fully automated – inventory management flows – content repurposing schedulers – Airtable/Notion/GPT mega-integrations all plug-and-play want access to the repo + organized vault? Like + comment “REPO” + repost (must be following so I can DM you)

just unlocked the deepest vault of n8n automations on the internet - and you can get them for free. I had my VA scrape and sort every useful n8n repo on the internet by hand.. and I'm now sitting on a clean, categorized directory of 1500+ workflows inside the vault you'll find: – RAG analysis & AI research flows – lead scoring and CRM updates, fully automated – inventory management flows – content repurposing schedulers – Airtable/Notion/GPT mega-integrations all plug-and-play want access to the repo + organized vault? Like + comment “REPO” + repost (must be following so I can DM you)

J.B.

174,428 views • 1 year ago

Announcing Centaur 2.0! Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids. Centaur 2.0 can connect to everything you have access to, and can reason over it next to where you work, either in Slack, Discord, Teams or in your local Codex or Claude Code via an MCP. But context isn't useful if it can be accessed by anyone, so we rebuilt Centaur from the ground up for security. Centaur obviously doesn't have access to secrets because we're leveraging egress proxies. Centaur 2.0 takes that a step further enabling administrators to configure who can access what from where. This means that Centaur can have access to private information that you normally wouldn't feel comfortable giving it access to (e.g. DMs or sensitive channels and docs) but only expose it to authorized principals. It also means you can add Centaur to external channels and leverage it as a virtual colleague that doesn't live only in your Slack, for example, but also your Slack Connect channels! This is extremely powerful as we start moving to a world where agents cross organizational boundaries. Also in case anyone's wondering, yes we rewrote it in Rust! Centaur is now way way more stable at durably executing threads, and its workflow engine is now based on Absurd. We have been operating Centaur since January, officially launched and Open Sourced it in May, and now we're full speed towards making it the #1 open source agentic infrastructure. To succeed at that, I'm thrilled to welcome Matthew Slipper to the Paradigm team who will be leading all our Applied AI work, while continuing to maintain and extend Iron Proxy as the leading secure secret access for agents. Welcome Matt, it's an honor after all these years of knowing you! Read the full blogpost below, and apply to join our team!

Announcing Centaur 2.0! Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids. Centaur 2.0 can connect to everything you have access to, and can reason over it next to where you work, either in Slack, Discord, Teams or in your local Codex or Claude Code via an MCP. But context isn't useful if it can be accessed by anyone, so we rebuilt Centaur from the ground up for security. Centaur obviously doesn't have access to secrets because we're leveraging egress proxies. Centaur 2.0 takes that a step further enabling administrators to configure who can access what from where. This means that Centaur can have access to private information that you normally wouldn't feel comfortable giving it access to (e.g. DMs or sensitive channels and docs) but only expose it to authorized principals. It also means you can add Centaur to external channels and leverage it as a virtual colleague that doesn't live only in your Slack, for example, but also your Slack Connect channels! This is extremely powerful as we start moving to a world where agents cross organizational boundaries. Also in case anyone's wondering, yes we rewrote it in Rust! Centaur is now way way more stable at durably executing threads, and its workflow engine is now based on Absurd. We have been operating Centaur since January, officially launched and Open Sourced it in May, and now we're full speed towards making it the #1 open source agentic infrastructure. To succeed at that, I'm thrilled to welcome Matthew Slipper to the Paradigm team who will be leading all our Applied AI work, while continuing to maintain and extend Iron Proxy as the leading secure secret access for agents. Welcome Matt, it's an honor after all these years of knowing you! Read the full blogpost below, and apply to join our team!

Georgios Konstantopoulos

144,857 views • 1 month ago

Helmor has been out as an open-source coding agent orchestrator for less than a week, and we’re already close to 1,000 GitHub stars!!! As a little gift, we shipped a new feature you’re going to love. 👇 Stop copy-pasting GitHub links, Linear tickets, Slack threads, and random notes into prompts. We're tired of rebuilding context every time I ask an agent to do work. Contexts in Helmor is another step toward a local dev loop: browse, preview, inject context, and dispatch tasks without leaving the app. Before you start a task, Helmor should help you gather the right context first. Try the open-source Helmor — link in the comments. #Helmor

Helmor has been out as an open-source coding agent orchestrator for less than a week, and we’re already close to 1,000 GitHub stars!!! As a little gift, we shipped a new feature you’re going to love. 👇 Stop copy-pasting GitHub links, Linear tickets, Slack threads, and random notes into prompts. We're tired of rebuilding context every time I ask an agent to do work. Contexts in Helmor is another step toward a local dev loop: browse, preview, inject context, and dispatch tasks without leaving the app. Before you start a task, Helmor should help you gather the right context first. Try the open-source Helmor — link in the comments. #Helmor

Caspian 東澔

10,823 views • 5 months ago

Most keyboard apps are built just to help you type faster. Acti is the world’s first agentic keyboard. It can actually do things for you. I have been using it for a while, and I literally love this one. Let’s say you are chatting with someone and they say: “Let’s meet at XYZ Place” Normally you would open Maps, search the location, copy the link, come back to app, and send it. With Acti, you just stay inside app, copy the text + hold the spacebar, and it adds the location + map link directly in the chat. This works inside WhatsApp, Telegram, Discord, Slack, or basically any chat interface. More use cases 👇 1/5

Most keyboard apps are built just to help you type faster. Acti is the world’s first agentic keyboard. It can actually do things for you. I have been using it for a while, and I literally love this one. Let’s say you are chatting with someone and they say: “Let’s meet at XYZ Place” Normally you would open Maps, search the location, copy the link, come back to app, and send it. With Acti, you just stay inside app, copy the text + hold the spacebar, and it adds the location + map link directly in the chat. This works inside WhatsApp, Telegram, Discord, Slack, or basically any chat interface. More use cases 👇 1/5

AshutoshShrivastava

15,962 views • 3 months ago

+$8,500 IN 30 SECONDS. THIS FUCKING GENIUS BUILT HIS OWN TRADING BOT WITH AI 🤯 He didn’t spend months learning how to code. He used an AI tutorial to build a bot that analyzes the market, finds setups, and executes trades based on his strategy. Now that tutorial is basically helping him automate his trading. Here’s how he did it ↓ → Picked one simple trading strategy → Used AI to turn the rules into a trading bot → Added entry + exit conditions → Backtested the strategy → Automated the execution → Let the bot scan for setups The key part: He didn’t ask AI to magically “make money.” He gave it a clear strategy and used AI to turn those rules into an automated system. One trade reportedly made him +$8,500 in around 30 seconds. Obviously, this doesn’t mean every trade will look like that. But the idea is powerful: You don’t necessarily need to become a programmer to start building your own trading tools. AI can help turn a trading idea into something you can actually test and automate. Here’s the full strategy + how he built the bot

+$8,500 IN 30 SECONDS. THIS FUCKING GENIUS BUILT HIS OWN TRADING BOT WITH AI 🤯 He didn’t spend months learning how to code. He used an AI tutorial to build a bot that analyzes the market, finds setups, and executes trades based on his strategy. Now that tutorial is basically helping him automate his trading. Here’s how he did it ↓ → Picked one simple trading strategy → Used AI to turn the rules into a trading bot → Added entry + exit conditions → Backtested the strategy → Automated the execution → Let the bot scan for setups The key part: He didn’t ask AI to magically “make money.” He gave it a clear strategy and used AI to turn those rules into an automated system. One trade reportedly made him +$8,500 in around 30 seconds. Obviously, this doesn’t mean every trade will look like that. But the idea is powerful: You don’t necessarily need to become a programmer to start building your own trading tools. AI can help turn a trading idea into something you can actually test and automate. Here’s the full strategy + how he built the bot

Niche trader

89,003 views • 26 days ago

GOODBYE TO CYBERSECURITY! Someone just open-sourced an arsenal of AI hacking tools. Not one. Not ten. Hundreds. Inside the repository: • Jailbreak frameworks for LLMs • Prompt injection testing tools • AI red team agents • Model extraction utilities • Supply chain attack demos • Automated AI pentesting frameworks These are the same categories of tools security researchers use to find vulnerabilities before attackers do. Now anyone can study them. That's both exciting... and terrifying. The biggest threat to AI isn't smarter models. It's insecure ones. If you're building with LLMs and you're not actively testing your prompts, agents, and infrastructure— You're probably shipping vulnerabilities you don't even know exist. Open source is accelerating AI. It's also accelerating AI attacks. Repository link in the comments ↓

GOODBYE TO CYBERSECURITY! Someone just open-sourced an arsenal of AI hacking tools. Not one. Not ten. Hundreds. Inside the repository: • Jailbreak frameworks for LLMs • Prompt injection testing tools • AI red team agents • Model extraction utilities • Supply chain attack demos • Automated AI pentesting frameworks These are the same categories of tools security researchers use to find vulnerabilities before attackers do. Now anyone can study them. That's both exciting... and terrifying. The biggest threat to AI isn't smarter models. It's insecure ones. If you're building with LLMs and you're not actively testing your prompts, agents, and infrastructure— You're probably shipping vulnerabilities you don't even know exist. Open source is accelerating AI. It's also accelerating AI attacks. Repository link in the comments ↓

Shruti Codes

126,325 views • 2 months ago

Today we're shipping the governance layer enterprise AI was missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.

Today we're shipping the governance layer enterprise AI was missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.

Wade Foster

32,542 views • 5 months ago

Google engineers are running 3 NVIDIA DGX Spark boxes each just to speed up their Claude skills workflows by 300% > and the gap between them and everyone else is getting wider every week $95K developer vs $300K AI architect. same job. different stack > /self-improving-agent - the system improves its own process without you touching it > /rag-architect - retrieval quality now matters more than raw model cleverness > /connect-apps - Claude takes real actions across Gmail, Slack, GitHub and Notion the people who build this stack now will be the $300K architects everyone asks "what's your setup?" > everyone else will still be typing prompts full list with GitHub links in the article above 👇

Google engineers are running 3 NVIDIA DGX Spark boxes each just to speed up their Claude skills workflows by 300% > and the gap between them and everyone else is getting wider every week $95K developer vs $300K AI architect. same job. different stack > /self-improving-agent - the system improves its own process without you touching it > /rag-architect - retrieval quality now matters more than raw model cleverness > /connect-apps - Claude takes real actions across Gmail, Slack, GitHub and Notion the people who build this stack now will be the $300K architects everyone asks "what's your setup?" > everyone else will still be typing prompts full list with GitHub links in the article above 👇

Mr. Buzzoni

82,313 views • 4 months ago

Holy moly. 🤯 Jack Dorsey just gave away, for free, a full toolkit for running a company where AI agents work right next to your human team. His company Block put it on GitHub. It's already past 29,000 stars. Here's how you set it up takes about 5 minutes: 1. Copy (clone) the code from GitHub. 2. Run your own server. This is where your chats, search, code, and automatic tasks all live. 3. Add your AI agent into a chat channel, just like adding a new team member. Tell it what it's allowed to do, and let it work with your team live. No fees. No middleman. Just you, your team, and your AI agents all in one place you control. This might be what running a business looks like from now on Worth saving.

Holy moly. 🤯 Jack Dorsey just gave away, for free, a full toolkit for running a company where AI agents work right next to your human team. His company Block put it on GitHub. It's already past 29,000 stars. Here's how you set it up takes about 5 minutes: 1. Copy (clone) the code from GitHub. 2. Run your own server. This is where your chats, search, code, and automatic tasks all live. 3. Add your AI agent into a chat channel, just like adding a new team member. Tell it what it's allowed to do, and let it work with your team live. No fees. No middleman. Just you, your team, and your AI agents all in one place you control. This might be what running a business looks like from now on Worth saving.

Charlie Hills

14,039 views • 14 days ago