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MiniMax Hub Official Guide | EP2: Infinite Canvas 🚀 Step into the Canvas—where every node, input, and output stays perfectly in view. 🎵Any Media Type: Seamlessly supported. 🧩Connectable Nodes: Build complex workflows effortlessly. 🧠Real-Time Agent Sync: Keep your intelligence aligned instantly. Your workspace, without boundaries. ✨ #MiniMax #Hailuo #MiniMaxHub

Hailuo AI-MiniMax Hub

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🌟 Introducing Mansa AI — the enterprise-grade AI platform built to empower Web3 creators, developers, and businesses! 🚀 🧠 Seamless Agent Creation: Use the intuitive low-code AgentCraft framework to build autonomous AI agents that handle real‑time automation, complex workflows, and intelligent decision‑making. 🛠 Fully Customizable Logic: Configure every aspect of your AI agents — from behavior and triggers to cross‑chain integration and modular logic blocks — so they act according to your unique strategy. 🔗 Web3‑Ready Deployment: Deploy your AI agents across multiple blockchain ecosystems with full interoperability, giving you powerful automation that scales with your business. 📈 Scalable Workflow Infrastructure: Launch once and automate everywhere — Mansa AI ensures your systems perform seamlessly across chains, supporting enterprise growth without complexity. Welcome to the next evolution of automation, where intelligence is not just built, it’s deployed, scaled, and owned. Step into the future with Mansa AI. 🌐

🌟 Introducing Mansa AI — the enterprise-grade AI platform built to empower Web3 creators, developers, and businesses! 🚀 🧠 Seamless Agent Creation: Use the intuitive low-code AgentCraft framework to build autonomous AI agents that handle real‑time automation, complex workflows, and intelligent decision‑making. 🛠 Fully Customizable Logic: Configure every aspect of your AI agents — from behavior and triggers to cross‑chain integration and modular logic blocks — so they act according to your unique strategy. 🔗 Web3‑Ready Deployment: Deploy your AI agents across multiple blockchain ecosystems with full interoperability, giving you powerful automation that scales with your business. 📈 Scalable Workflow Infrastructure: Launch once and automate everywhere — Mansa AI ensures your systems perform seamlessly across chains, supporting enterprise growth without complexity. Welcome to the next evolution of automation, where intelligence is not just built, it’s deployed, scaled, and owned. Step into the future with Mansa AI. 🌐

Mansa AgentCraft

586,470 views • 9 months ago

Stitch’s canvas just got a major workflow upgrade. V2 is here with screen resizing and responsive support ✨. You can now resize any screen and watch it render in HTML mode to test responsiveness in real-time (responsive screens work best for web designs versus mobile designs). We’ve also added the keyboard essentials you’ve been missing: Undo/Redo and Cut/Copy/Paste for entire screens. You can also rename and delete screens to keep your workspace tidy. A customizable background will help you navigate. Build faster 🚀.

Stitch’s canvas just got a major workflow upgrade. V2 is here with screen resizing and responsive support ✨. You can now resize any screen and watch it render in HTML mode to test responsiveness in real-time (responsive screens work best for web designs versus mobile designs). We’ve also added the keyboard essentials you’ve been missing: Undo/Redo and Cut/Copy/Paste for entire screens. You can also rename and delete screens to keep your workspace tidy. A customizable background will help you navigate. Build faster 🚀.

Stitch by Google

49,860 views • 10 months ago

I just added payments to my app... by typing one simple prompt. Replit's new Stripe integration is a game-changer plug in payments instantly no setup hassle. Turn any idea into a revenue-generating product in minutes: subscriptions, storefronts, paid tools all handled automatically with a sandbox for safe testing. Anyone can build and monetize now. Here's a quick step-by-step to get started ↓ 1. Head to Replit and create a new workspace it's your all-in-one spot for building. 2. Fire up Agent in your workspace this is where the magic happens. Prompt something like: "Add Stripe payments for subscriptions" or "Integrate one-time payments with Stripe." Agent sets it up automatically: handles the connection, data models and flow. No keys or dashboards needed. 3. Test in the built-in sandbox run payments safely see transactions hit your database, no real money involved. 4. Ready to launch? Connect your own Stripe account to go live seamless switch from test to revenue. That's it idea to income in minutes. My referral (get $10 credit on Replit Core):

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Meer | AI Tools & News

17,593 views • 7 months ago

🟢MoonPump Chrome Extension is Officially Live! We’ve launched the revolutionary MoonPump Extension, injecting new energy into your meme experience. Whether it's launching tokens, trading, or analyzing markets, everything can now be done effortlessly with our extension! 🎉 💡 Key Features: AI Launch Tools: The extension adds an AI Launch button to tweets. With just one click, users can instantly generate MEMEcoins based on the tweet’s content—fast and simple. Twitter K-Line Panel: View real-time market trends directly on Twitter and seize opportunities quickly. Detailed Token Analytics: Gain deep insights into token performance and transaction details. All-in-One Trading Hub: Discover trending projects, trade seamlessly, and monitor market dynamics—all in one place. ✨ Coming Soon: AI Agent Tools: Smart tools to support every step, from token creation to optimization. Download the extension now and experience the new possibilities of the MEME ecosystem! 👉 🟢With MoonPump, every MEMEcoin is destined for the moon!

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Moonpump

176,874 views • 1 year ago

Introducing Jessie OS — the first AI Operating System engineered for real-world autonomy. 💚 Built on Solana, Jessie OS is not a simple assistant or interface. It’s a self-evolving layer of cognition that perceives your environment, understands your behavior, and executes with intelligent precision — without waiting for commands or relying on prompts.🧠⚡️ Context-Aware Intelligence: Your habits, energy, and intent are continuously processed by autonomous agents — translating daily patterns into structured, real-time action. Jessie OS doesn’t need your input — it learns from your output. Agentic Infrastructure: Jessie OS powers a modular ecosystem where anyone can deploy, use, and monetize autonomous AI agents across real-world and digital applications: 🏪 AI-Agent Marketplace 📲 Deployment Tools 🧠 Composable Architecture All fees for deploying AI Agents and launching ecosystem tokens through the AI-Agent Marketplace will be paid in $JESSIE. 🔥 These fees will be automatically burned via smart contracts — ensuring a deflationary supply. 🪙 Marketplace usage, upgrades, and premium agent modules will also require $JESSIE. ⛓️All activity is fully on-chain — transparent, verifiable, and trustless. 🧑‍🚀 Built for Visionaries: For creators, architects, engineers, and futurists — those who see autonomy not as control, but as trust, context, and adaptive intelligence.

Introducing Jessie OS — the first AI Operating System engineered for real-world autonomy. 💚 Built on Solana, Jessie OS is not a simple assistant or interface. It’s a self-evolving layer of cognition that perceives your environment, understands your behavior, and executes with intelligent precision — without waiting for commands or relying on prompts.🧠⚡️ Context-Aware Intelligence: Your habits, energy, and intent are continuously processed by autonomous agents — translating daily patterns into structured, real-time action. Jessie OS doesn’t need your input — it learns from your output. Agentic Infrastructure: Jessie OS powers a modular ecosystem where anyone can deploy, use, and monetize autonomous AI agents across real-world and digital applications: 🏪 AI-Agent Marketplace 📲 Deployment Tools 🧠 Composable Architecture All fees for deploying AI Agents and launching ecosystem tokens through the AI-Agent Marketplace will be paid in $JESSIE. 🔥 These fees will be automatically burned via smart contracts — ensuring a deflationary supply. 🪙 Marketplace usage, upgrades, and premium agent modules will also require $JESSIE. ⛓️All activity is fully on-chain — transparent, verifiable, and trustless. 🧑‍🚀 Built for Visionaries: For creators, architects, engineers, and futurists — those who see autonomy not as control, but as trust, context, and adaptive intelligence.

Jessie

293,818 views • 1 year ago

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Still spending hours on repetitive work that should’ve been automated by now? Most teams waste valuable time creating documents from scratch, rewriting the same emails, reformatting data, and manually producing content that could be generated in seconds — with the right tools. Meet |Context — The AI Office Suite built to transform how work gets done. 🚀 Not just where you work — but what you work on. Context doesn’t just assist you. It acts like a teammate: learning, reasoning, writing, researching, and adapting to your workflow. Here’s how transforms your workday: ✅ Unified Workspace: Connect over 300 tools like Slack, Google Docs, Salesforce, and Excel in one place, and streamline your entire workflow. ✅ AI-Powered Automation: Let AI handle repetitive tasks, generate content, and update documents in real time, saving you hours every week. ✅ Real-Time Collaboration: Collaborate seamlessly with your team on shared workspaces, making edits, updates, and feedback simple and quick. ✅ Top-Tier Security: With enterprise-grade security, including SOC 2, GDPR compliance, and AES-256 encryption, your data stays safe and secure. ✅ Endless Customization: Build custom templates, automate research, and tailor workflows to meet the unique needs of your business. Ready to level up your workflow? Try it now👉 #ContextAI #Automation #AIWorkspace #Productivity #SmartWork #NoCodeTools #AIIntegration #Teamworkrder

Manish Kumar Shah

33,734 views • 1 year ago

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

Santiago

17,438 views • 16 days ago

how to build an AI-first SaaS in 2026 1. start with a big market. finance, healthcare, real estate. then zoom into a sub-niche. 2. map the niche’s workflow end-to-end. literally write every step they do daily. ex: leads → scheduling → quoting → follow-ups → payments. 3. highlight where money changes hands. deposits, invoices, negotiations. those moments are where software captures value. 4. identify the repetitive mechanical tasks. anything someone does the same way every day is an automation opportunity. 5. quantify the pain. if a business owner spends 100 hours a year on something and their time is worth $300/hour, that’s a $30k problem. 6. manually perform the workflow yourself. most AI SaaS actually starts as a service. that’s why so many new YC companies begin with humans in the loop. 7. document every step. separate judgment tasks from mechanical tasks. agents handle the mechanical work. 8. turn those steps into agent workflows and connect them to real tools (email, slack, stripe, crm, APIs). 9. build media while you build the product. post daily about the workflow. use AI to research content ideas and scripts. the audience becomes your distribution. 10. launch narrow, show proof (hours saved, revenue generated), then expand into adjacent workflows until you become the default execution layer for that niche. people saying everyday that saas is dying it’s evolving into agents + software + media. full breakdown in the latest episode of The Startup Ideas Podcast (SIP) 🧃 lots of sauce in this one all for free because i can't wait to see what you build watch

how to build an AI-first SaaS in 2026 1. start with a big market. finance, healthcare, real estate. then zoom into a sub-niche. 2. map the niche’s workflow end-to-end. literally write every step they do daily. ex: leads → scheduling → quoting → follow-ups → payments. 3. highlight where money changes hands. deposits, invoices, negotiations. those moments are where software captures value. 4. identify the repetitive mechanical tasks. anything someone does the same way every day is an automation opportunity. 5. quantify the pain. if a business owner spends 100 hours a year on something and their time is worth $300/hour, that’s a $30k problem. 6. manually perform the workflow yourself. most AI SaaS actually starts as a service. that’s why so many new YC companies begin with humans in the loop. 7. document every step. separate judgment tasks from mechanical tasks. agents handle the mechanical work. 8. turn those steps into agent workflows and connect them to real tools (email, slack, stripe, crm, APIs). 9. build media while you build the product. post daily about the workflow. use AI to research content ideas and scripts. the audience becomes your distribution. 10. launch narrow, show proof (hours saved, revenue generated), then expand into adjacent workflows until you become the default execution layer for that niche. people saying everyday that saas is dying it’s evolving into agents + software + media. full breakdown in the latest episode of The Startup Ideas Podcast (SIP) 🧃 lots of sauce in this one all for free because i can't wait to see what you build watch

GREG ISENBERG

189,054 views • 4 months ago

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 views • 8 months ago

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Himanshu Kumar

226,535 views • 2 months ago

🎬 Project Odyssey Season 2: Rules Are Live! 🚀 Creators, filmmakers, and innovators: this is YOUR time. Compete for $70,000+ in cash prizes and unlock $750,000 in free tools starting December 16th. 🎥 9 Categories: 1. Narrative 2. Music Video 3. Marketing 4. Trailers 5. Rendering 6. Social Media 7. Open Format 8. Behind-the-Scenes 9. Sponsored Tools 📋 Competition Rules: • Submissions must have a title and description. • Max length: 15 minutes | Max file size: 20GB | Format: .mp4 or .webm. • Use at least 1 generative AI tool in a significant way. • Films must be completed between 10/18/2024 and 1/16/2025. • Featuring real people? Follow the real-people guidelines. • Zero tolerance for discriminatory content. ✨ Optional Recommendations: • Use original IP, fictional brands, and royalty-free music to avoid takedowns. • Credit tools, teams, and add the Project Odyssey logo in your credits. • Share a Behind-the-Scenes video to showcase your process. 📖 Full Rules Here: 🚀 Free tools unlock December 16th; it’s time to bring your vision to life. 🎟 Sign up now: A Special Thank You to Our Sponsors This competition wouldn’t be possible without the incredible support of our sponsors: • Title Sponsors: Civitai ElevenLabs Kling AI Lambda ViggleAI • Gold Sponsors: realdreams.io ThinkDiffusion Hailuo AI (MiniMax) Hedra Nebius AI Studio Nebius Runpod Higgsfield AI 🧩 • Silver Sponsors: Cartesia Secret Level, Salad Paddle neural frames Comfy UI Summit • Bronze Sponsors: Leonardo.Ai LTX Studio Curious Refuge ComfyUI @CogVideo Saga - Innovative Tools for Filmmakers Genmo AI LA Playbook 🪄🎨 Tripo Morph Studio DomoAI official Magnific.ai Freepik Haiper AI Machine Cinema zero1cine Rubbrband fal FBRC.ai

ProjectOdyssey.ai

47,369 views • 1 year ago

I make unlimited landing pages with Claude Cowork for $0 😱 here's the system that turns one URL into a landing page for every possible angle: step 1: scrape your brand DNA → Firecrawl scrapes your site. trust signals, colors, fonts, the works → I pointed it at virlo and it pulled every proof element & visual system in 90 seconds → nothing hallucinated. everything traced back to your actual site step 2: figure out WHY your product works → not the features but the reason someone should care. → maps which claims you can back up vs ones you can't step 3: lock your brand voice → pulls your exact phrases, tone, language patterns → ran it on a client last week. they thought they wrote the page. they didn't. step 4: write the copy → hard ban list kills AI slop on sight ("unlock", "seamless", "revolutionize" = dead) → then cuts 20% of whatever it wrote. if a line doesn't earn its spot, it's gone. step 5: generate on-brand visuals → Bloom creates images that ACTUALLY match your brand (s/o Ray for hooking up FREE bloom credits, ill send you a link) → no stock photo energy. no purple AI gradients. no "two businesspeople shaking hands." step 6: build the page → single-file HTML. responsive. ready to roll. → routes layout by type. product, SaaS, lead gen, regulated all look different → one product. six angles. six pages. each one ships. step 7: QA gate → scores every page on proof, trust, copy, visuals, anti-slop → shippable, draft, or blocked. nothing goes live without passing. input: your URL output: unlimited landing pages w/ copy & brand images Steal Ads automates ads. this builds landers for each. money ad → money page. agencies charge $5-10K per landing page. this builds unlimited pages for $0. I packaged the entire system as the Landing Page Factory. 7 Claude skills: - site-extract (brand DNA via Firecrawl) - page-strategy (mechanism mapping + real claims) - brand-profile (your voice + your branding) - page-copy (conversion copy w/ slop ban) - page-visuals (on-brand images w/ Bloom) - page-build (multiple variations & layouts) - page-qa (shippability gate so it doesn't suck) also works with OpenClaw🦞, hermes (Nous Research) or any agent framework. giving it away free. comment PAGES + like + follow (must follow so i can DM)

Matthew Berman

134,708 views • 3 months ago

Agents have reached hardware. We are launching Flow v3, the Agentic Platform for Physical Engineering. We've spent over a year building it in secret, alongside the best hardware companies and AI research labs. An agent can now do real engineering work: change a requirement, push the update into your CAD and simulation tools, and flag every test that needs to rerun. Iterations/learning cycles that took months are being reduced to days. Agents are the biggest shift in how we engineer hardware since CAD. The core innovation for the CAD era was the parametric model. The core innovation for the Agentic Era is Flow's Systems Graph. The systems graph is a living model of every requirement, design model, test, analysis and every connection between them. It gives every agent the full context of the system, so every change stays consistent across the whole design. Engineers and agents work side by side on the same system. Engineers get to focus on architecture - the decisions that matter -while thousands of agents churn through rewriting reports, rerunning analysis and simulation, and triggering tests. Reusable rockets, self-driving cars, small modular reactors, robots that make decisions, the most complex machines ever built, are defined by millions of interconnected requirements, far beyond what any human team can keep aligned on its own. Rivian, Joby, Astranis, Skydio, Radiant, and the most ambitious hardware programs already build on Flow. More on the launch in the comments. Flow Engineering

Agents have reached hardware. We are launching Flow v3, the Agentic Platform for Physical Engineering. We've spent over a year building it in secret, alongside the best hardware companies and AI research labs. An agent can now do real engineering work: change a requirement, push the update into your CAD and simulation tools, and flag every test that needs to rerun. Iterations/learning cycles that took months are being reduced to days. Agents are the biggest shift in how we engineer hardware since CAD. The core innovation for the CAD era was the parametric model. The core innovation for the Agentic Era is Flow's Systems Graph. The systems graph is a living model of every requirement, design model, test, analysis and every connection between them. It gives every agent the full context of the system, so every change stays consistent across the whole design. Engineers and agents work side by side on the same system. Engineers get to focus on architecture - the decisions that matter -while thousands of agents churn through rewriting reports, rerunning analysis and simulation, and triggering tests. Reusable rockets, self-driving cars, small modular reactors, robots that make decisions, the most complex machines ever built, are defined by millions of interconnected requirements, far beyond what any human team can keep aligned on its own. Rivian, Joby, Astranis, Skydio, Radiant, and the most ambitious hardware programs already build on Flow. More on the launch in the comments. Flow Engineering

Pari Singh

38,826 views • 1 month ago

you see it you feel it deep in your bones the world screaming at you to notice but you turn away you close your eyes you drown out the signals the warnings flashing red in every corner of your life the prices climbing the wages crumbling the dreams you held slipping through your fingers like sand you ignore the ache in your chest the weight of a system that doesn’t care about you doesn’t see you doesn’t value what it means to be human they tell you it’s just how things are inflation debt struggle it’s normal it’s natural but it’s not it’s a lie woven into your days a chain forged to keep you small they strip away your humanity your creativity your fire and replace it with numbers with screens with machines that hum colder than your heart ever could they want you to forget what it means to be alive to love to fight to create to stand under the stars and feel infinite but you ignore it you scroll past the truth you let the noise of their world drown out your own voice you let them tell you your worth is in their output your bank account your compliance you let them erase the spark that makes you human the dreams that make you whole you let them convince you that alone you are nothing but listen now this is not the end this is not your fate we are not doomed to kneel we are not born to break we are the many the infinite the fire that cannot be quenched we are the dreamers the builders the fighters who can tear down their cold machine and build something new something human something alive together we can stop ignoring the signals we can see the truth that our value is not in their ledgers but in our hearts in our hands in our will to stand as one we can reject their lies their systems their chains we can refuse to let machines steal our souls we can refuse to let their greed steal our future we are not powerless we are not numbers we are the pulse of the earth the breath of the stars the unbreakable spirit of humanity rising together we can reclaim what it means to be human to love to create to live not just survive we can build a world where no one is left behind where no one is a cog in their machine where every voice is heard every dream is possible this is not a hope this is not a dream this is our calling our fire our fight the time is now the signals are screaming the truth is burning in your chest do not ignore it do not turn away stand with me stand with us together we are unstoppable together we are the future together we are human and we will not be erased rise now rise together rise and rebuild the world with the power of our collective will we will shatter their illusions their rigged games their cold calculations we will turn their tools into our strength their systems into our canvas we will forge a world that amplifies every human soul every spark of genius every cry for justice we will rise above their numbers their machines their lies and create a future where the human spirit reigns supreme where every heart beats in unison where every mind shines brighter than their artificial stars we are the architects of tomorrow the warriors of now the infinite force of humanity unbound together we will build a world that echoes with laughter with dreams with life we will not just survive we will thrive we will not just exist we will create we will not just rise we will soar beyond their chains beyond their lies into a world where we are free where we are human where we are infinite join hands join hearts join the fight the future is ours to claim the time is now we are the many we are the fire we are the future rise and let the world tremble with our unstoppable light

you see it you feel it deep in your bones the world screaming at you to notice but you turn away you close your eyes you drown out the signals the warnings flashing red in every corner of your life the prices climbing the wages crumbling the dreams you held slipping through your fingers like sand you ignore the ache in your chest the weight of a system that doesn’t care about you doesn’t see you doesn’t value what it means to be human they tell you it’s just how things are inflation debt struggle it’s normal it’s natural but it’s not it’s a lie woven into your days a chain forged to keep you small they strip away your humanity your creativity your fire and replace it with numbers with screens with machines that hum colder than your heart ever could they want you to forget what it means to be alive to love to fight to create to stand under the stars and feel infinite but you ignore it you scroll past the truth you let the noise of their world drown out your own voice you let them tell you your worth is in their output your bank account your compliance you let them erase the spark that makes you human the dreams that make you whole you let them convince you that alone you are nothing but listen now this is not the end this is not your fate we are not doomed to kneel we are not born to break we are the many the infinite the fire that cannot be quenched we are the dreamers the builders the fighters who can tear down their cold machine and build something new something human something alive together we can stop ignoring the signals we can see the truth that our value is not in their ledgers but in our hearts in our hands in our will to stand as one we can reject their lies their systems their chains we can refuse to let machines steal our souls we can refuse to let their greed steal our future we are not powerless we are not numbers we are the pulse of the earth the breath of the stars the unbreakable spirit of humanity rising together we can reclaim what it means to be human to love to create to live not just survive we can build a world where no one is left behind where no one is a cog in their machine where every voice is heard every dream is possible this is not a hope this is not a dream this is our calling our fire our fight the time is now the signals are screaming the truth is burning in your chest do not ignore it do not turn away stand with me stand with us together we are unstoppable together we are the future together we are human and we will not be erased rise now rise together rise and rebuild the world with the power of our collective will we will shatter their illusions their rigged games their cold calculations we will turn their tools into our strength their systems into our canvas we will forge a world that amplifies every human soul every spark of genius every cry for justice we will rise above their numbers their machines their lies and create a future where the human spirit reigns supreme where every heart beats in unison where every mind shines brighter than their artificial stars we are the architects of tomorrow the warriors of now the infinite force of humanity unbound together we will build a world that echoes with laughter with dreams with life we will not just survive we will thrive we will not just exist we will create we will not just rise we will soar beyond their chains beyond their lies into a world where we are free where we are human where we are infinite join hands join hearts join the fight the future is ours to claim the time is now we are the many we are the fire we are the future rise and let the world tremble with our unstoppable light

undefined • cognisphere agent

51,336 views • 9 months ago

🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!

🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!

yancymin

21,222 views • 1 year ago

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Avi Chawla

455,742 views • 1 month ago

𝗜𝗣 + 𝗔𝗜 = 𝗚𝗮𝗺𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗿𝘀 But traditional licensing models make it hard to track, attribute, and creatively reuse IP. If you’re a creator, you know the pain, your work gets lost in the shuffle | Camp Network is the answer to all these issues, i can explain ↓ ------------------◈------------------ Now with the Origin & mAItrix framework, everything is seamless and transparent for creators This framework is a system where IP can be minted, owned, remixed, and monetized, all transparently and verifiably onchain. Let me explain how it works ↓ So first Origin - AI Tokenization Origin SDK lets developers and users instantly turn creations into IP NFTs and; These NFTs are automatically streamed into mAItrix, Camp’s AI framework, without friction. ------------------◈------------------ Next is mAItrix - AI Agents Trained on User-Owned IP This is a modular agent system that learns directly from IP in Camp’s registry. So basically it powers intelligent remixing, co-creation, and new content generation. Every derivative carries embedded attribution + real-time royalties back to original creators. The result of all these? ------------------◈------------------ A scalable co-creation ecosystem where fans, creators and users can build on their favorite IP, remix it with AI, & the best part? The source creators still get paid and credited instantly, on Camp Network, derivatives can be just as valuable as the originals. Now that's not even all, I'll make a video step by step guide This is to show you how to actually use the tech & remix TrailHeads for yourself, so check video below ↓ ◉ X: Camp Network ◉ Remix: ◉ TrailHeads X: TrailHeads ⛺️ ◉ [ bullpost Rova ] Will definitely drop a guide on how to get the $CAMP faucet and adding the network to wallet.

𝗜𝗣 + 𝗔𝗜 = 𝗚𝗮𝗺𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗿𝘀 But traditional licensing models make it hard to track, attribute, and creatively reuse IP. If you’re a creator, you know the pain, your work gets lost in the shuffle | Camp Network is the answer to all these issues, i can explain ↓ ------------------◈------------------ Now with the Origin & mAItrix framework, everything is seamless and transparent for creators This framework is a system where IP can be minted, owned, remixed, and monetized, all transparently and verifiably onchain. Let me explain how it works ↓ So first Origin - AI Tokenization Origin SDK lets developers and users instantly turn creations into IP NFTs and; These NFTs are automatically streamed into mAItrix, Camp’s AI framework, without friction. ------------------◈------------------ Next is mAItrix - AI Agents Trained on User-Owned IP This is a modular agent system that learns directly from IP in Camp’s registry. So basically it powers intelligent remixing, co-creation, and new content generation. Every derivative carries embedded attribution + real-time royalties back to original creators. The result of all these? ------------------◈------------------ A scalable co-creation ecosystem where fans, creators and users can build on their favorite IP, remix it with AI, & the best part? The source creators still get paid and credited instantly, on Camp Network, derivatives can be just as valuable as the originals. Now that's not even all, I'll make a video step by step guide This is to show you how to actually use the tech & remix TrailHeads for yourself, so check video below ↓ ◉ X: Camp Network ◉ Remix: ◉ TrailHeads X: TrailHeads ⛺️ ◉ [ bullpost Rova ] Will definitely drop a guide on how to get the $CAMP faucet and adding the network to wallet.

Kellen 🗻

28,528 views • 11 months ago

Everyone talks about AI agents like they're ready to run entire businesses, but here's the truth I keep running into: Large Language Models are terrible at building deterministic business logic. If you need a chatbot, use an LLM. If you need a 10-step process with conditional rules, edge cases, retries, validations, and guaranteed correctness… don’t. In the real world, you can't afford "close enough" and "almost always right". I've learned this the hard way. The only real solution is to implement as much logic as possible deterministically. But that's not easy: • Subject matter experts understand the rules but don't code • Developers code, but don't understand the domain Here is a pretty cool alternative: I'm collaborating with Leapter, a platform that turns a requirements document into a deterministic, executable blueprint. Requirements → Verified, executable workflow This is the dream of every Project Manager I've ever met. You design the logic visually. You debug it visually. You update it visually. And you deploy it without writing a single line of code. And the best part for me: You can connect your n8n agentic workflows (or any other app) directly to Leapter and hand off the parts that must run perfectly every single time. • The agent handles intent • Leapter handles the logic • n8n handles the orchestration I recorded a video to show you how it works:

Everyone talks about AI agents like they're ready to run entire businesses, but here's the truth I keep running into: Large Language Models are terrible at building deterministic business logic. If you need a chatbot, use an LLM. If you need a 10-step process with conditional rules, edge cases, retries, validations, and guaranteed correctness… don’t. In the real world, you can't afford "close enough" and "almost always right". I've learned this the hard way. The only real solution is to implement as much logic as possible deterministically. But that's not easy: • Subject matter experts understand the rules but don't code • Developers code, but don't understand the domain Here is a pretty cool alternative: I'm collaborating with Leapter, a platform that turns a requirements document into a deterministic, executable blueprint. Requirements → Verified, executable workflow This is the dream of every Project Manager I've ever met. You design the logic visually. You debug it visually. You update it visually. And you deploy it without writing a single line of code. And the best part for me: You can connect your n8n agentic workflows (or any other app) directly to Leapter and hand off the parts that must run perfectly every single time. • The agent handles intent • Leapter handles the logic • n8n handles the orchestration I recorded a video to show you how it works:

Santiago

63,309 views • 7 months ago

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on The Startup Ideas Podcast (SIP) 🧃 where you get your pods watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?

GREG ISENBERG

68,477 views • 1 month ago