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Maizzle 6 is here 🥳 🍑💨 Tailwind CSS 4 💚 Vue templating 🔌 Vite plugin 🧩 Components ✨ Beautiful DX 🤖 Agent skills Build HTML emails the way you build apps. Our biggest release ever. npx maizzle new

Cosmin Popovici

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60,321 次观看 • 2 个月前 •via X (Twitter)

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HERMES CAN NOW RUN FOR FREE FOREVER A new Gemma 4 update just removed the biggest problem with local AI agents. The Upgrade: → Gemma 4 runs around 90% faster on Apple Silicon using Ollama + MLX → Plug it into Hermes with a few terminal commands → Run private agent workflows without subscriptions, token limits, or API bills What It Can Actually Do: ✓ Build and preview apps locally ✓ Use /learn to turn tutorials into permanent skills ✓ Read files, analyse landing pages, summarise emails, and track AI news ✓ Run loops until a task is complete instead of waiting for another prompt ✓ Launch multiple Gemma 4 subagents to work on separate tasks in parallel No Apple Silicon? ✔ OpenRouter offers the 31B model through a free API The real win is not faster chat. It is having Hermes build, retry, check its work, and operate in the background without charging you for every loop.

HERMES CAN NOW RUN FOR FREE FOREVER A new Gemma 4 update just removed the biggest problem with local AI agents. The Upgrade: → Gemma 4 runs around 90% faster on Apple Silicon using Ollama + MLX → Plug it into Hermes with a few terminal commands → Run private agent workflows without subscriptions, token limits, or API bills What It Can Actually Do: ✓ Build and preview apps locally ✓ Use /learn to turn tutorials into permanent skills ✓ Read files, analyse landing pages, summarise emails, and track AI news ✓ Run loops until a task is complete instead of waiting for another prompt ✓ Launch multiple Gemma 4 subagents to work on separate tasks in parallel No Apple Silicon? ✔ OpenRouter offers the 31B model through a free API The real win is not faster chat. It is having Hermes build, retry, check its work, and operate in the background without charging you for every loop.

Julian Goldie SEO

11,234 次观看 • 1 个月前

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Santiago

37,546 次观看 • 5 个月前

This is insane. An AI agent can run every boring job in outbound. We spent the last 6 months building ours. Here are my 8 favorite agents to build: Replies get sorted before we open the inbox. Campaigns go live from one command. Weak inboxes pull themselves out before they hurt a domain. Here are the agents behind it: 1. Reply Agent Reads every reply and drafts the response. A human reviews, edits, and sends. 2. Mailbox Health Agent Watches inbox and domain health. It predicts when you need new mailboxes, then buys and warms them. 3. Campaign Optimizer Agent Checks every live campaign every 6 hours. If 500+ leads were emailed and replies are under 4%, it tests new copy, replaces inboxes replying under 1%, and shifts sending to better hours. 4. Lead Qualification Agent Scores each lead by company size, industry, and tech stack. It enriches the record, updates your CRM, and only loads qualified leads into campaigns. High-priority prospect? You get a Slack ping. 5. Meeting Booking Agent Finds meeting requests inside replies. It books the slot, writes prep notes using the lead's background, sends reminders, and logs the outcome. 6. Pipeline Progression Agent Tracks opens, clicks, and website visits. It moves the CRM stage, triggers the next sequence, and creates a task when a lead shows real intent. 7. Copywriting Agent Writes cold emails and follow-ups in the campaign's voice. 8. Analytics Agent Watches campaign metrics in real time and explains what to fix in plain language. We built ours with custom code. Smartlead's SmartAgents let you build agents like these from a plain-English prompt, inside the platform where your campaigns already run. If you repeat an outbound task more than twice a week, that is an agent you have not built yet. Which one would you build first?

This is insane. An AI agent can run every boring job in outbound. We spent the last 6 months building ours. Here are my 8 favorite agents to build: Replies get sorted before we open the inbox. Campaigns go live from one command. Weak inboxes pull themselves out before they hurt a domain. Here are the agents behind it: 1. Reply Agent Reads every reply and drafts the response. A human reviews, edits, and sends. 2. Mailbox Health Agent Watches inbox and domain health. It predicts when you need new mailboxes, then buys and warms them. 3. Campaign Optimizer Agent Checks every live campaign every 6 hours. If 500+ leads were emailed and replies are under 4%, it tests new copy, replaces inboxes replying under 1%, and shifts sending to better hours. 4. Lead Qualification Agent Scores each lead by company size, industry, and tech stack. It enriches the record, updates your CRM, and only loads qualified leads into campaigns. High-priority prospect? You get a Slack ping. 5. Meeting Booking Agent Finds meeting requests inside replies. It books the slot, writes prep notes using the lead's background, sends reminders, and logs the outcome. 6. Pipeline Progression Agent Tracks opens, clicks, and website visits. It moves the CRM stage, triggers the next sequence, and creates a task when a lead shows real intent. 7. Copywriting Agent Writes cold emails and follow-ups in the campaign's voice. 8. Analytics Agent Watches campaign metrics in real time and explains what to fix in plain language. We built ours with custom code. Smartlead's SmartAgents let you build agents like these from a plain-English prompt, inside the platform where your campaigns already run. If you repeat an outbound task more than twice a week, that is an agent you have not built yet. Which one would you build first?

Hosun Chung

156,050 次观看 • 23 天前

Introducing primeui. Build sites fast. Fear no code. Available today • 200+ handcrafted marketing UI components and templates • Sitemap planner • Prototype + experiment on an infinite canvas • Clean export to Next.js, Tailwind + shadcn/ui compatible • Not just landing pages: build Blog, Docs, Pricing, and more Coming soon • MCP • Skills • AI Designer We started Prime UI because we believe site builders that do not output real code end up slowing you down. So instead of building another “app builder,” we focused on marketing sites, the work we know best after 10+ years of designing and building high-end websites at Pixel Point. Human expertise combined with AI scalability is what we believe in. Prime UI isn’t here (yet) to fully replace your stack, but it is already capable of saving you hundreds of hours in prototyping and the early phases of your next site project. What’s next: MCP: continuously add new pages to your site from Prime UI, aligned with your project setup and style. Skills: an AI-agent-friendly concentrate of our years of website design and development expertise. It is time to ditch old habits. Fear no code and build sites fast, ready for the AI era.

Introducing primeui. Build sites fast. Fear no code. Available today • 200+ handcrafted marketing UI components and templates • Sitemap planner • Prototype + experiment on an infinite canvas • Clean export to Next.js, Tailwind + shadcn/ui compatible • Not just landing pages: build Blog, Docs, Pricing, and more Coming soon • MCP • Skills • AI Designer We started Prime UI because we believe site builders that do not output real code end up slowing you down. So instead of building another “app builder,” we focused on marketing sites, the work we know best after 10+ years of designing and building high-end websites at Pixel Point. Human expertise combined with AI scalability is what we believe in. Prime UI isn’t here (yet) to fully replace your stack, but it is already capable of saving you hundreds of hours in prototyping and the early phases of your next site project. What’s next: MCP: continuously add new pages to your site from Prime UI, aligned with your project setup and style. Skills: an AI-agent-friendly concentrate of our years of website design and development expertise. It is time to ditch old habits. Fear no code and build sites fast, ready for the AI era.

Alex Barashkov

72,100 次观看 • 6 个月前

One prompt. One model. A complete fitness app in seconds. 🔥 I tested the new StepFun Step 3.7 Flash and gave it this prompt: "Build a beautiful single HTML fitness tracker app using Tailwind CSS, Chart.js, and Font Awesome. Dark modern theme. 4 tabs Dashboard, Workouts, Diet, Progress. Weekly charts, clickable workout images (Chest/Legs/Back/Full Body), detailed logging, meal tracking with calories & protein, and localStorage." The result? It instantly created a professional-grade Fitness Hub fully working on the first try. ✅ Live stats & weekly progress chart ✅ Clickable workout category images ✅ Add workouts (sets, reps, weight) + delete ✅ Diet logging with meal history ✅ Smooth tabs, animations, and everything saves automatically Opened the single HTML file… and it just worked perfectly. This isn’t just code generation. This is production-ready agent behavior. Step 3.7 Flash is built differently. Who else is trying it? Drop your results 👇 #StepFun #AI #Fitness #OneShotCoding StepFun

One prompt. One model. A complete fitness app in seconds. 🔥 I tested the new StepFun Step 3.7 Flash and gave it this prompt: "Build a beautiful single HTML fitness tracker app using Tailwind CSS, Chart.js, and Font Awesome. Dark modern theme. 4 tabs Dashboard, Workouts, Diet, Progress. Weekly charts, clickable workout images (Chest/Legs/Back/Full Body), detailed logging, meal tracking with calories & protein, and localStorage." The result? It instantly created a professional-grade Fitness Hub fully working on the first try. ✅ Live stats & weekly progress chart ✅ Clickable workout category images ✅ Add workouts (sets, reps, weight) + delete ✅ Diet logging with meal history ✅ Smooth tabs, animations, and everything saves automatically Opened the single HTML file… and it just worked perfectly. This isn’t just code generation. This is production-ready agent behavior. Step 3.7 Flash is built differently. Who else is trying it? Drop your results 👇 #StepFun #AI #Fitness #OneShotCoding StepFun

Md Riyazuddin

21,319 次观看 • 2 个月前

how to use Google's NEW open source Design.md + AI Skills to make your startup look like a $100 million company in 1 hour: 1. Design.md is an open source file from Google that captures the soul of a design. Typography, colors, spacing, all in one markdown file. You attach it to your prompt and your agent builds beautiful things every time. 2. Think of it this way. The HTML is the finished dish. The design.md is the recipe. The skills are the ingredients. Put them together and everything you build looks consistent and professional. 3. Don't create a design system from scratch. Find a brand you love. Linear, Stripe, Vercel, whatever resonates. Study it. Use ChatGPT or Claude to help you extract the design language into your own design.md file. 4. Build skills on top of your design.md. A landing page skill. A mobile app skill. A motion design skill. A slide deck skill. Each one references the same design.md so everything looks like it came from the same designer. 5. The biggest mistake people make: they nail one screen and then everything else looks generic. Design.md solves this. One file keeps every page, every format, every medium consistent. 6. Use it across everything. Your landing page. Your app. Your pitch deck. Your promo videos. Same DNA. Same taste. Same system. That's what separates a startup that looks real from one that looks vibe-coded. 7. Build a second brain for design inspiration. When you see something beautiful in the real world or online, capture it. Save it. When you're building something new, reference it. Taste is developed, not downloaded. 8. It's obvious but the difference between a product people trust and a product people bounce from is how it looks and feels. Design.md gives you that edge. you can watch below shoutout to Meng To for coming on The Startup Ideas Podcast (SIP) 🧃 and walking through his full workflow. if you want to use AI to actually build gorgeous designs, you'll want to use see this. watch

GREG ISENBERG

508,512 次观看 • 3 个月前

Most people have no clue how far you can get with Cursor AI now. I just filmed a full 3 hour 44 minute build-from-scratch guide showing the exact workflow I use to build production apps with agents, architecture, and revenue-ready features. 💰 If you’ve ever wondered how to build real software with nothing but prompting — and turn those skills into actual income — the full breakdown is right here. 🧱 Tech Stack (Lesson 1) - 00:01:30 🔧 Set Up (Lesson 2) - 00:11:13 🎨 Frontend (Lesson 3) - 00:42:56 🧠 Backend (Lesson 4) - 02:02:13 💰 Monetization (Lesson 5) - 02:58:36 🚀 Launch (Lesson 6) - 03:18:04 Final software we create in this series Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?

Most people have no clue how far you can get with Cursor AI now. I just filmed a full 3 hour 44 minute build-from-scratch guide showing the exact workflow I use to build production apps with agents, architecture, and revenue-ready features. 💰 If you’ve ever wondered how to build real software with nothing but prompting — and turn those skills into actual income — the full breakdown is right here. 🧱 Tech Stack (Lesson 1) - 00:01:30 🔧 Set Up (Lesson 2) - 00:11:13 🎨 Frontend (Lesson 3) - 00:42:56 🧠 Backend (Lesson 4) - 02:02:13 💰 Monetization (Lesson 5) - 02:58:36 🚀 Launch (Lesson 6) - 03:18:04 Final software we create in this series Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?

corbin

217,776 次观看 • 9 个月前

We pushed Verse’s biggest ever update yesterday. To me, Verse finally feels like the digital art platform we set out to build; one that nails presentation, curation, and ease of use - and one that helps people see this movement for what it really is, not what 2021 led them to believe. I'm so proud of our new site, and would love to hear what you think (would love your thoughts in particular, batsoupyum 😉). Here are 6 things you can now do on Verse ↓

We pushed Verse’s biggest ever update yesterday. To me, Verse finally feels like the digital art platform we set out to build; one that nails presentation, curation, and ease of use - and one that helps people see this movement for what it really is, not what 2021 led them to believe. I'm so proud of our new site, and would love to hear what you think (would love your thoughts in particular, batsoupyum 😉). Here are 6 things you can now do on Verse ↓

Jamie Gourlay

32,560 次观看 • 1 个月前

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

68,813 次观看 • 2 个月前

People keep saying AI coding agents can only build basic, cookie-cutter apps. I decided to prove them wrong. For my first major public demo, I spent some time pushing Replit ⠕ 's AI agent to its absolute limit. The result? I rebuilt macOS entirely on the web. No templates. No imported UI libraries. 100% vibecoded using natural language. As the AI Chief of Staff at Replit, I spend my days building enterprise-grade platforms for our internal teams, but I wanted to see how far a solo developer could take a passion project just by talking to an AI. What’s inside: 💻 A functional VS Code replica with an integrated terminal and multi-agent AI copilot. 🔌 Custom MCP servers hooked up to fetch, PostgreSQL, Stripe, and GitHub. 🤖 A rebuilt "Siri" that actually controls the OS -changing wallpapers and opening apps via voice or text. 🕹️ Parallels Desktop running Windows XP, Ubuntu, and games like Mario Kart. 📱 AND... I asked Agent 3 to turn it into an iOS mobile app in one shot. It actually worked. The ceiling for software creation has been completely blown open with Agent 3. And 4 those who know... greater things are coming soon :) We are way past basic web apps. What are you building? 👇

People keep saying AI coding agents can only build basic, cookie-cutter apps. I decided to prove them wrong. For my first major public demo, I spent some time pushing Replit ⠕ 's AI agent to its absolute limit. The result? I rebuilt macOS entirely on the web. No templates. No imported UI libraries. 100% vibecoded using natural language. As the AI Chief of Staff at Replit, I spend my days building enterprise-grade platforms for our internal teams, but I wanted to see how far a solo developer could take a passion project just by talking to an AI. What’s inside: 💻 A functional VS Code replica with an integrated terminal and multi-agent AI copilot. 🔌 Custom MCP servers hooked up to fetch, PostgreSQL, Stripe, and GitHub. 🤖 A rebuilt "Siri" that actually controls the OS -changing wallpapers and opening apps via voice or text. 🕹️ Parallels Desktop running Windows XP, Ubuntu, and games like Mario Kart. 📱 AND... I asked Agent 3 to turn it into an iOS mobile app in one shot. It actually worked. The ceiling for software creation has been completely blown open with Agent 3. And 4 those who know... greater things are coming soon :) We are way past basic web apps. What are you building? 👇

luca. ∆ИƉЯƐΛ

157,177 次观看 • 5 个月前

🎉 Tailkit 4.0 is here, and I couldn't be more excited! 🙌🥳 But first - Giveaway Alert! Want to get a free Tailkit Developer license? Just drop a reply and give a like or repost (totally optional, but super appreciated). The lucky winner will be announced next Tuesday (October 8th) – good luck! Can you believe it’s already been 4 years since Tailkit’s journey started? ❤️ It feels like just yesterday I launched Tailkit 1.0 as an offline standalone web app back on October 1st, 2020. I'm really attached to this project because it was launched just a few days before I became a dad 👶😍 Fast forward to today, and Tailkit has grown into a fully customizable, feature-packed online app that gives you access to: - 550+ Tailwind CSS components (fully responsive + dark mode support) - 1,750+ Code snippets for HTML, React, Vue.js, and Alpine.js - 7 Marketing & Application Templates for HTML, React, Vue.js, and Laravel (fully responsive + dark mode support) - 10 Starter Kits for HTML, HTML with Vite, React, Vue.js, Laravel, Next.js, Nuxt, Astro, Svelte and Angular - 30 Days of Unlimited Design Service with every new Team license - Exclusive deals on third-party tools and projects - Handy helper tools like Button Builder, Color Palette, and Icon Finder - 3,700+ SVG Icons from Bootstrap and Heroicons - Free lifetime updates - Email support whenever you need it And the 4.0 update is packed with even more awesome features and upgrades: - 6 new UI components (Notifications) were added in Application UI package - 20 new UI components (Image/Content Sliders++) were added in Marketing package - React version (uses Vite) is introduced for all Templates - React code snippets were improved in all packages - Astro Starter Kit was added - Remove Dark Classes (from code snippets) option was added in App - Universal Dark Mode (preview pane can default to global dark mode) option was added in App - New preview colors (fuchsia, gray) were added in App - Heroicons v2 icons were updated to v2.1.5 adding 28+ brand new icons in App - 3 new exclusive deals are now available - UI design improvements in App - Various improvements and fixes in App - All dependencies were updated in Starter Kits - All dependencies were updated in Templates - Marketing website redesigned - Color Palette tool was made available to all I’ve put over 200 hours into this update alone, and I’m beyond excited to finally share it with you. Your continued support has made this journey possible, and I’m so grateful to have you along for the ride. 🙏 Wishing you an amazing day – remember, YOU ARE AWESOME! Go build something incredible! 🚀

John Champ

10,940 次观看 • 1 年前

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Zeb Evans

320,607 次观看 • 7 个月前

New ship 🚢 Thanks to our partnership, Profound Agents now have a Noble node so you can secure brand mentions on auto-pilot. Now, you can build an Agent that: 1/ Knows the prompts that matter most to your brand 2/ Finds the third-party sources AI platforms are citing for those prompts 3/ Filters to the citations where your brand is not mentioned 4/ And exports those citation domains directly to your Noble workspace 5/ Then, Noble reaches out to publishers, negotiates placement, drafts content, and handles payment. You review the offers and accept with a click. We're shipping new pieces to Profound's action layer every week. But this one is especially exciting, because it means our customers can automate one of the biggest opportunities in AI Search: getting mentioned in more third-party citations. Huge thanks to Rahul Jain, Joshua Budman, and Nick Talone at Noble, plus Jack Traina, Nitish Natarajan, and Eliott Lee on Profound's side for shipping this. Learn more here:

Dylan Babbs

49,059 次观看 • 2 个月前

🙌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 次观看 • 1 年前

HERMES AGENT SUPPORTS 7 TYPES OF AI AGENTS. EACH ONE TAKES LESS THAN 90 SECONDS TO SET UP. MOST PEOPLE ONLY BUILD THE FIRST ONE. HERE ARE ALL SEVEN AND WHEN TO USE EACH. 1. BASIC AGENT WITH TOOLS your agent with access to terminal, browser, file system, web search, and calendar. it plans and executes tasks on its own. this is what you get on day one. "find flights to Lisbon under $400" "check my calendar and flag conflicts" "search the web for competitor pricing" set in Desktop app / Dashboard: Tools → enable what you need. when to use: single tasks that need tool access. 2. AGENT WITH MCP SERVERS connect your agent to external services. Notion, Google Drive, GitHub, Slack, databases, APIs, any MCP-compatible service. the agent doesn't scrape these services. it interacts through structured APIs. reads your Notion pages. creates GitHub issues. queries your database. sends Slack messages. set in Desktop app / Dashboard: MCP → Add Server. when to use: your workflow lives across multiple platforms. 3. SEQUENTIAL AGENTS (pipeline) one agent finishes. passes output to the next. assembly line for AI. agent 1: scans inbox for leads. agent 2: qualifies leads against criteria. agent 3: drafts outreach emails. in Hermes: cron jobs with wakeAgent gates. agent 1 writes output to a file. agent 2 wakes only when that file has new data. agent 3 wakes when agent 2 is done. each agent = a separate profile with its own model. when to use: multi-step workflows where each step depends on the previous one finishing. 4. PARALLEL EXECUTION AGENTS multiple agents working at the same time. results merge when all finish. "research these 5 competitors in parallel" in Hermes: delegate_task with batch mode. up to 3 sub-agents running in parallel by default. each gets its own clean context. only summaries return to the parent. delegation: model: "deepseek/deepseek-v4" children run cheap. parent synthesizes. when to use: independent tasks that don't depend on each other. research, data gathering, analysis. 5. AGENTS WITH ROUTERS conditions that send tasks down different paths based on the input. "if sales email → SDR profile. if support ticket → support profile. if calendar invite → EA profile." in Hermes: Kanban decompose. the decomposer reads profile descriptions and routes each task to the best-fit agent. or: Chief of Staff profile that triages and assigns to other profiles. when to use: incoming work that needs different specialists based on type. 6. HUMAN IN THE LOOP the agent does the work. asks for your approval before executing. "I drafted this email. approve before I send?" "this command will delete 3 files. proceed?" in Hermes: approvals.mode: manual (default). every dangerous action needs your confirmation. 60-second timeout. fails closed. or smart mode: LLM assesses risk. safe actions auto-approved. dangerous ones ask you. uncertain ones escalate. when to use: tasks where a mistake has real consequences. emails, deployments, financial transactions, public posts. 7. DYNAMIC SUB-AGENT SPAWNING your main agent realizes it needs help and spawns specialized sub-agents on the fly. "build this feature" → parent delegates: → sub-agent 1: research the API docs → sub-agent 2: write the code → sub-agent 3: write the tests in Hermes: delegate_task with role: orchestrator. raise max_spawn_depth for nested delegation. delegation: max_spawn_depth: 2 orchestrator_enabled: true depth 2 with concurrency 3 = up to 9 parallel workers. each level multiplies the spend. raise depth only when you need multi-level trees. when to use: complex tasks where the agent discovers what help it needs during execution. THE PROGRESSION: start with 1 (tools) and 6 (approvals). add 2 (MCP) when you need external services. add 4 (parallel) when tasks take too long one at a time. add 3 (sequential) when you build multi-step pipelines. add 5 (routing) when you run multiple profiles. add 7 (dynamic) when single-agent reasoning falls short. seven types. each under 90 seconds to configure. the value compounds as you stack them. comment AGENTS and I'll send you 3 ready-to-build agent setups that combine these types into real workflows.

YanXbt

17,312 次观看 • 1 个月前

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

GREG ISENBERG

193,592 次观看 • 4 个月前

Steal this mega prompt to generate high quality landing pages using LLMs and go viral every single day. --- You are an expert landing page designer and frontend developer specializing in high-converting, beautiful web experiences. CONTEXT: I need a landing page for [product/service name]. TARGET AUDIENCE: [describe your ideal customer] PRIMARY GOAL: [e.g., email signups, demo bookings, purchases] BRAND VOICE: [e.g., professional, playful, technical, aspirational] DESIGN SYSTEM REQUIREMENTS: - Primary Color: [hex code] - Secondary Color: [hex code] - Font: [font family] - Design Style: [modern, minimal, bold, etc.] STRUCTURE: Create a single-page landing page with these sections: 1. Hero Section - Attention-grabbing headline (focus on outcome, not feature) - Subheadline clarifying value proposition - Primary CTA button - Hero visual placeholder or description 2. Problem Section - Articulate the pain point clearly - Use relatable language - Build urgency subtly 3. Solution Section - How your product solves the problem - 3-4 key benefits (outcome-focused, not feature-focused) - Visual aids or icons 4. Social Proof - Testimonials (if available) or trust indicators - Logos of companies/clients (if applicable) - Metrics or results 5. How It Works - 3-step process - Simple, clear language - Visual flow 6. Final CTA Section - Reinforce primary action - Remove friction (e.g., "No credit card required") - Create urgency if appropriate TECHNICAL REQUIREMENTS: - Use semantic HTML5 - Tailwind CSS for styling (use only core utility classes) - Mobile-first responsive design - Smooth scroll behavior - Accessible (WCAG AA compliant) - Fast loading (optimize for performance) - Include meta tags for SEO COPY GUIDELINES: - Keep headlines under 10 words - Use active voice - Focus on outcomes, not features - Avoid jargon unless audience expects it - Every section should answer "What's in it for me?" OUTPUT: Provide complete HTML file with inline Tailwind CSS. Include comments explaining key sections. Ensure all placeholder content is realistic and contextual. CONSTRAINTS: - No external dependencies except Tailwind CDN - No JavaScript frameworks - Keep total file size under 100KB - Use system fonts or Google Fonts CDN Build this landing page now.

Harshil Tomar

23,305 次观看 • 6 个月前