Loading video...

Video Failed to Load

Go Home

Stop using AI like a chatbot. It can literally run your research for you. They don’t work. They just… talk. Until now. I tested a setup that actually executes tasks: → Claude Code plans → XCrawl fetches real-time data → AI analyzes + delivers insights No fluff. Just output....

Shruti_0810's profile picture

Shruti Codes

71,973 subscribers

20,473 views • 4 months ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like
0:20

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Nainsi Dwivedi

13,617 views • 4 months ago

Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:
0:20

Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:

Rimsha Bhardwaj

61,011 views • 3 months ago

Running operations used to take me 10+ hours/week. Now it takes 30 minutes. Here’s what changed: → I stopped using AI as a chatbot → I started using Perplexity Computer as a system In one workflow, it: • Reads my Slack updates • Checks my calendar • Pulls data from sheets • Generates a full weekly report • Summarizes key decisions • Flags risks automatically No switching tools. No manual work. This is the shift most people are missing: AI isn’t for asking questions anymore. It’s for executing workflows. If you’re still “chatting” with AI… you’re already behind. see what you’ve been missing—start now, explore key features in minutes, and feel the difference . Try it now:
0:21

Running operations used to take me 10+ hours/week. Now it takes 30 minutes. Here’s what changed: → I stopped using AI as a chatbot → I started using Perplexity Computer as a system In one workflow, it: • Reads my Slack updates • Checks my calendar • Pulls data from sheets • Generates a full weekly report • Summarizes key decisions • Flags risks automatically No switching tools. No manual work. This is the shift most people are missing: AI isn’t for asking questions anymore. It’s for executing workflows. If you’re still “chatting” with AI… you’re already behind. see what you’ve been missing—start now, explore key features in minutes, and feel the difference . Try it now:

Aryan Rakib

39,084 views • 4 months ago

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:
1:38

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:

Hasan Toor

100,511 views • 7 months ago

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.
0:53

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

Tanvir

18,160 views • 4 months ago

🚨 I think I just found one of the smartest AI Agents for real-world investing. No prompt engineering. No complicated workflows. Just pick an expert and start chatting. I tested it on one of the hottest AI semiconductor stocks right now: Micron ($MU). Here’s all I did: → Opened EasyClaw → Added the Stock Master Agent → Installed the Serenity skill → Typed ONE sentence: “Use Serenity’s framework to research $MU and give me an investment recommendation.” A few minutes later, I had a research report that looked like something from a professional analyst. It automatically covered: ✅ Market outlook ✅ Supply chain trends ✅ Fundamental analysis ✅ Technical analysis ✅ Valuation ✅ Risk assessment ✅ Clear investment recommendation The result? Surprisingly… it said DON’T chase $MU at current prices. Why? • AI-driven HBM demand is still exploding 📈 • Micron’s fundamentals remain incredibly strong 📈 • Memory market sentiment is bullish 📈 But… The stock has run much faster than the business has improved. Its recommendations were refreshingly practical: 📌 Already holding? → Consider scaling out gradually and protect gains with trailing stops. 📌 Waiting to buy? → Stay patient. Let the market come to you. 📌 Risk-averse investor? → Skip the volatility until a better setup appears. What impressed me most wasn’t the conclusion… It was how the AI reached it. It highlighted the 3 metrics that actually matter going forward: 1️⃣ DRAM & HBM pricing trends 2️⃣ HBM4 production ramp for next-gen AI chips 3️⃣ CapEx plans from major memory manufacturers That’s the kind of analysis that separates signal from noise. The entire workflow felt like watching a veteran analyst think in real time: Hot trend → Data → Industry insights → Risk analysis → Decision. No prompts. No setup. No building AI agents from scratch. Just choose an expert. Ask your question. Get a structured investment report in minutes. If you’re into AI, semiconductors, or US stocks, this is absolutely worth trying. Learn More Here :- #AIAgent #StockMarket #Micron #MU #Investing #Semiconductors #HBM #Claude #EasyClaw #AIInvesting
0:31

🚨 I think I just found one of the smartest AI Agents for real-world investing. No prompt engineering. No complicated workflows. Just pick an expert and start chatting. I tested it on one of the hottest AI semiconductor stocks right now: Micron ($MU). Here’s all I did: → Opened EasyClaw → Added the Stock Master Agent → Installed the Serenity skill → Typed ONE sentence: “Use Serenity’s framework to research $MU and give me an investment recommendation.” A few minutes later, I had a research report that looked like something from a professional analyst. It automatically covered: ✅ Market outlook ✅ Supply chain trends ✅ Fundamental analysis ✅ Technical analysis ✅ Valuation ✅ Risk assessment ✅ Clear investment recommendation The result? Surprisingly… it said DON’T chase $MU at current prices. Why? • AI-driven HBM demand is still exploding 📈 • Micron’s fundamentals remain incredibly strong 📈 • Memory market sentiment is bullish 📈 But… The stock has run much faster than the business has improved. Its recommendations were refreshingly practical: 📌 Already holding? → Consider scaling out gradually and protect gains with trailing stops. 📌 Waiting to buy? → Stay patient. Let the market come to you. 📌 Risk-averse investor? → Skip the volatility until a better setup appears. What impressed me most wasn’t the conclusion… It was how the AI reached it. It highlighted the 3 metrics that actually matter going forward: 1️⃣ DRAM & HBM pricing trends 2️⃣ HBM4 production ramp for next-gen AI chips 3️⃣ CapEx plans from major memory manufacturers That’s the kind of analysis that separates signal from noise. The entire workflow felt like watching a veteran analyst think in real time: Hot trend → Data → Industry insights → Risk analysis → Decision. No prompts. No setup. No building AI agents from scratch. Just choose an expert. Ask your question. Get a structured investment report in minutes. If you’re into AI, semiconductors, or US stocks, this is absolutely worth trying. Learn More Here :- #AIAgent #StockMarket #Micron #MU #Investing #Semiconductors #HBM #Claude #EasyClaw #AIInvesting

Marry Evan

17,629 views • 1 month ago

Stop paying for Claude Code. You can run it for FREE. No API tokens. No monthly plan. No cloud costs. Here’s the simple setup: 1. Download Ollama (free). 2. Install a local model like GLM 4.7 Flash. 3. Launch Claude Code using that local model. 4. Done. You’re now running Claude Code fully powered by a local model. Same interface. No API bill. You can even run OpenClaw the same way. Local AI agents. Free. 24/7. Most people are overpaying because they don’t know this exists.
8:15

Stop paying for Claude Code. You can run it for FREE. No API tokens. No monthly plan. No cloud costs. Here’s the simple setup: 1. Download Ollama (free). 2. Install a local model like GLM 4.7 Flash. 3. Launch Claude Code using that local model. 4. Done. You’re now running Claude Code fully powered by a local model. Same interface. No API bill. You can even run OpenClaw the same way. Local AI agents. Free. 24/7. Most people are overpaying because they don’t know this exists.

Julian Goldie SEO

103,844 views • 6 months ago

If you’re still using AI like a chatbot, you’re under-utilizing it. Spine AI isn’t one assistant. It’s an AI workforce you control. You don’t just get suggestions. You delegate work to multiple specialised agents — running in parallel — and watch them execute in real time. Give it a command like: “Find me the best apartment deals in New York City for under $4,000/month. Prioritize high walkability and strong rental value.” Spine then deploys a swarm: → A pricing analyst comparing cost per square foot → A neighborhood expert evaluating livability & demand → An accommodation specialist filtering amenities → A market researcher pulling the latest available data → A ranking agent structuring the final output All are working simultaneously. Not sequential prompts. Not manual tab juggling. Parallel execution. While most AI tools return a paragraph, Spine coordinates specialised agents, uses your context and preferences, pulls the latest data, and delivers a highly personalised final output, not just assistance. You can steer the agents in real time. Adjust priorities. Refine constraints. Stay in control. This is managing infinite AI minds, not chatting with one. Can your AI do that? Reserve your spot below. Get early access →
0:52

If you’re still using AI like a chatbot, you’re under-utilizing it. Spine AI isn’t one assistant. It’s an AI workforce you control. You don’t just get suggestions. You delegate work to multiple specialised agents — running in parallel — and watch them execute in real time. Give it a command like: “Find me the best apartment deals in New York City for under $4,000/month. Prioritize high walkability and strong rental value.” Spine then deploys a swarm: → A pricing analyst comparing cost per square foot → A neighborhood expert evaluating livability & demand → An accommodation specialist filtering amenities → A market researcher pulling the latest available data → A ranking agent structuring the final output All are working simultaneously. Not sequential prompts. Not manual tab juggling. Parallel execution. While most AI tools return a paragraph, Spine coordinates specialised agents, uses your context and preferences, pulls the latest data, and delivers a highly personalised final output, not just assistance. You can steer the agents in real time. Adjust priorities. Refine constraints. Stay in control. This is managing infinite AI minds, not chatting with one. Can your AI do that? Reserve your spot below. Get early access →

sabir hussain

19,623 views • 6 months ago

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.
0:21

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

Defileo🔮

695,073 views • 4 months ago

Email marketing is having a real shift. Instead of jumping between dashboards, I can now work with my Omnisend account directly inside Claude or ChatGPT. Ask AI to analyze live performance, find revenue opportunities, review automations, build campaigns, and generate editable emails—all from a natural conversation. One feature I really appreciate is granular permissions. You decide exactly what the AI can access, including read-only mode when you only want insights without making changes. If you’re migrating from another email platform, Omnisend can help you migrate in as little as 5 days, making it much easier to switch without a long setup process. This doesn't feel like another AI chatbot added to a SaaS. It feels like the SaaS itself has moved into AI. If you're already using Claude or ChatGPT, Omnisend MCP is definitely worth exploring: 🔗 Connect Omnisend with Claude or ChatGPT: Omnisend #Omnisend
0:22

Email marketing is having a real shift. Instead of jumping between dashboards, I can now work with my Omnisend account directly inside Claude or ChatGPT. Ask AI to analyze live performance, find revenue opportunities, review automations, build campaigns, and generate editable emails—all from a natural conversation. One feature I really appreciate is granular permissions. You decide exactly what the AI can access, including read-only mode when you only want insights without making changes. If you’re migrating from another email platform, Omnisend can help you migrate in as little as 5 days, making it much easier to switch without a long setup process. This doesn't feel like another AI chatbot added to a SaaS. It feels like the SaaS itself has moved into AI. If you're already using Claude or ChatGPT, Omnisend MCP is definitely worth exploring: 🔗 Connect Omnisend with Claude or ChatGPT: Omnisend #Omnisend

Alamin

48,890 views • 12 days ago

AI is getting incredibly good. The problem is it still gets stuck whenever it needs to interact with the real world. Need to host a website? API keys. Need to send emails? Another service. Need to use external tools? More accounts and more setup. That's exactly why I wanted to try Zero. Zero gives Claude and ChatGPT access to **14,000+ real-world services**, so instead of stopping to ask for integrations, they can actually complete real tasks. I tested it by asking Cursor to build an AI healthcare startup. Within a single workflow it: → built and hosted a complete website → generated the assets it needed → emailed me the live URL → showed the total cost of the entire workflow No API keys. No juggling different services. No complicated setup. Just a prompt → a finished result. If you're building with Claude or ChatGPT, it's definitely worth trying. The first 10,000 users can claim $5 in free credits to get started: Try out now: #Ad
1:14

AI is getting incredibly good. The problem is it still gets stuck whenever it needs to interact with the real world. Need to host a website? API keys. Need to send emails? Another service. Need to use external tools? More accounts and more setup. That's exactly why I wanted to try Zero. Zero gives Claude and ChatGPT access to **14,000+ real-world services**, so instead of stopping to ask for integrations, they can actually complete real tasks. I tested it by asking Cursor to build an AI healthcare startup. Within a single workflow it: → built and hosted a complete website → generated the assets it needed → emailed me the live URL → showed the total cost of the entire workflow No API keys. No juggling different services. No complicated setup. Just a prompt → a finished result. If you're building with Claude or ChatGPT, it's definitely worth trying. The first 10,000 users can claim $5 in free credits to get started: Try out now: #Ad

Abdullah AI

12,775 views • 1 month ago

This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself
0:37

This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself

AI Frontliner

70,013 views • 9 months ago

🚀 I wrote one line… and an entire AI team started running a business. No hiring. No setup. No waiting. This isn’t hype. This is what naïve actually does. Here’s how it works 👇 1️⃣ You describe your idea 2️⃣ AI instantly creates a team of agents 3️⃣ They start executing — right away Each agent operates like a real employee: → has its own email → manages tasks independently → coordinates with other agents → works in parallel So instead of doing everything yourself… Your AI team is: → booking calls → writing content → building products → handling support → managing operations You’re not prompting a tool anymore. You’re watching a system run your company. 📊 Early users are already seeing: +32% growth week-over-week +42% more tasks completed 💡 The shift is simple: From building a team → to deploying one with a prompt You don’t need a co-founder. You don’t need a full team. You just need one idea. Try it here → #NaiveAI #AI #Automation #Startups #FutureOfWork
0:57

🚀 I wrote one line… and an entire AI team started running a business. No hiring. No setup. No waiting. This isn’t hype. This is what naïve actually does. Here’s how it works 👇 1️⃣ You describe your idea 2️⃣ AI instantly creates a team of agents 3️⃣ They start executing — right away Each agent operates like a real employee: → has its own email → manages tasks independently → coordinates with other agents → works in parallel So instead of doing everything yourself… Your AI team is: → booking calls → writing content → building products → handling support → managing operations You’re not prompting a tool anymore. You’re watching a system run your company. 📊 Early users are already seeing: +32% growth week-over-week +42% more tasks completed 💡 The shift is simple: From building a team → to deploying one with a prompt You don’t need a co-founder. You don’t need a full team. You just need one idea. Try it here → #NaiveAI #AI #Automation #Startups #FutureOfWork

Haider Anis

213,477 views • 4 months ago

Claude Science just CHANGED how AI is used in research Anthropic didn't launch a new model they launched an AI-native scientific workspace Claude Science lets researchers: > analyze hundreds of papers at once > run Python, R & Jupyter notebooks > work with genomics, proteomics & molecular data > generate figures, charts & publication-ready outputs > keep a full reproducible audit trail this isn't about making the LLM smarter it's about building the workflow around it first we got Claude Code for developers now we have Claude Science for researchers the AI race is shifting it's no longer just who has the best model it's who builds the best AI operating system for every profession coding was first science is next
0:56

Claude Science just CHANGED how AI is used in research Anthropic didn't launch a new model they launched an AI-native scientific workspace Claude Science lets researchers: > analyze hundreds of papers at once > run Python, R & Jupyter notebooks > work with genomics, proteomics & molecular data > generate figures, charts & publication-ready outputs > keep a full reproducible audit trail this isn't about making the LLM smarter it's about building the workflow around it first we got Claude Code for developers now we have Claude Science for researchers the AI race is shifting it's no longer just who has the best model it's who builds the best AI operating system for every profession coding was first science is next

hammertime

19,976 views • 2 months ago

📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:
0:39

📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:

AITECH CLOUD NETWORK

599,054 views • 1 year ago

Godfather of AI: "If you sleep well tonight, you may not have understood this lecture." This 47-minute lecture is the best thing I saw about AI in the last few months. It will definitely help you understand how it actually works and where it's going. Geoffrey Hinton built the neural networks behind every AI alive, then quit Google to warn the world about it. The part nobody wanted to hear: > AI is already developing abilities its creators didn't intend > in most cognitive tasks it's already ahead of us > the question is no longer if it surpasses us but when > the only decision left is which side of that line you're on Right now the average person opens Claude, types something, gets an answer, closes the tab. They think they're using AI. they're using maybe 10% of it. I went through his entire lecture, built a practical system from what he was describing. 18 steps to actually use Claude the right way, with copy-paste prompts that work today. Full guide in the post below.
47:03

Godfather of AI: "If you sleep well tonight, you may not have understood this lecture." This 47-minute lecture is the best thing I saw about AI in the last few months. It will definitely help you understand how it actually works and where it's going. Geoffrey Hinton built the neural networks behind every AI alive, then quit Google to warn the world about it. The part nobody wanted to hear: > AI is already developing abilities its creators didn't intend > in most cognitive tasks it's already ahead of us > the question is no longer if it surpasses us but when > the only decision left is which side of that line you're on Right now the average person opens Claude, types something, gets an answer, closes the tab. They think they're using AI. they're using maybe 10% of it. I went through his entire lecture, built a practical system from what he was describing. 18 steps to actually use Claude the right way, with copy-paste prompts that work today. Full guide in the post below.

Anatoli Kopadze

1,886,111 views • 3 months ago

I launched Grok Bot for 24 hours, gave it 3 jobs, and stopped treating AI like a chatbot. I had it scan live X + web data for emerging AI products, research what people were actually saying about them, filter the obvious engagement bait, compare sources and turn the strongest signals into a structured brief. At the same time, I could have separate research paths looking at competitors, code or market opportunities instead of forcing everything through one conversation. That’s the difference I underestimated. I don’t want to sit inside a chat writing another prompt every 5 minutes. I want to define the objective, give the agent access to the right tools and data, let it execute, then step back in when judgment or approval is actually needed. The old workflow was prompt → answer → copy → repeat. The workflow I’m moving toward is assign → execute → verify. Once AI stops waiting for your next message, it stops feeling like software you use and starts feeling like work you delegated.
0:21

I launched Grok Bot for 24 hours, gave it 3 jobs, and stopped treating AI like a chatbot. I had it scan live X + web data for emerging AI products, research what people were actually saying about them, filter the obvious engagement bait, compare sources and turn the strongest signals into a structured brief. At the same time, I could have separate research paths looking at competitors, code or market opportunities instead of forcing everything through one conversation. That’s the difference I underestimated. I don’t want to sit inside a chat writing another prompt every 5 minutes. I want to define the objective, give the agent access to the right tools and data, let it execute, then step back in when judgment or approval is actually needed. The old workflow was prompt → answer → copy → repeat. The workflow I’m moving toward is assign → execute → verify. Once AI stops waiting for your next message, it stops feeling like software you use and starts feeling like work you delegated.

Lummox

3,896,751 views • 9 days ago

A lot of AI agent products promise “automation.” What they actually give you is another dashboard to micromanage. You spend hours wiring prompts, APIs, workflows, memory systems, and tool calls before the agents even begin doing real work. That’s been my experience with most agent stacks so far. Then I tried Helio The difference hit immediately. Instead of configuring everything like an engineer, I just gave the system an outcome. The AI teammates coordinated tasks, delegated work between themselves, and started executing while I was away. No babysitting. No endless tweaking. No orchestration headaches. For the first time, an AI agent product felt less like “using software” and more like hiring a small autonomous team. That’s the direction the market is moving toward fast.
0:39

A lot of AI agent products promise “automation.” What they actually give you is another dashboard to micromanage. You spend hours wiring prompts, APIs, workflows, memory systems, and tool calls before the agents even begin doing real work. That’s been my experience with most agent stacks so far. Then I tried Helio The difference hit immediately. Instead of configuring everything like an engineer, I just gave the system an outcome. The AI teammates coordinated tasks, delegated work between themselves, and started executing while I was away. No babysitting. No endless tweaking. No orchestration headaches. For the first time, an AI agent product felt less like “using software” and more like hiring a small autonomous team. That’s the direction the market is moving toward fast.

Atul Kumar

34,956 views • 2 months ago

Claude Code + Shopify AI is f*cking cracked 🤯 Shopify just dropped an official AI Toolkit that connects Claude Code directly to your store. One prompt → Claude reads your products, rewrites your descriptions for AI shopping, and pushes the updates live. All from the terminal. All inside Claude Code. Perfect for DTC brands on Shopify who are still manually editing product pages, writing descriptions in Google Docs, and copy-pasting into the Shopify admin one product at a time. Claude Code + the Shopify AI Toolkit fixes the entire workflow: → Install the official Shopify plugin in Claude Code → Authenticate to your store → Claude reads your entire product catalog → Rewrites every description to be optimized for AI shopping → Pushes the updates directly to your store automatically → Validates every API call against Shopify's official docs before executing No Shopify admin tab-switching. No copy-pasting from a Google Doc. No hiring a copywriter to rewrite 50 product pages. What you get: → Claude Code connected directly to your live Shopify store → Product descriptions optimized for how ChatGPT, Gemini, and Perplexity recommend products → Bulk updates across your entire catalog from a single prompt → Full access to Shopify's GraphQL API — products, themes, inventory, orders, everything Claude can read and write → An official plugin built by Shopify that auto-updates as new features ship I put together a full playbook with the plugin install, the store authentication walkthrough, 5 DTC workflows to run on day one, and the exact prompts I used. Want it for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)
0:20

Claude Code + Shopify AI is f*cking cracked 🤯 Shopify just dropped an official AI Toolkit that connects Claude Code directly to your store. One prompt → Claude reads your products, rewrites your descriptions for AI shopping, and pushes the updates live. All from the terminal. All inside Claude Code. Perfect for DTC brands on Shopify who are still manually editing product pages, writing descriptions in Google Docs, and copy-pasting into the Shopify admin one product at a time. Claude Code + the Shopify AI Toolkit fixes the entire workflow: → Install the official Shopify plugin in Claude Code → Authenticate to your store → Claude reads your entire product catalog → Rewrites every description to be optimized for AI shopping → Pushes the updates directly to your store automatically → Validates every API call against Shopify's official docs before executing No Shopify admin tab-switching. No copy-pasting from a Google Doc. No hiring a copywriter to rewrite 50 product pages. What you get: → Claude Code connected directly to your live Shopify store → Product descriptions optimized for how ChatGPT, Gemini, and Perplexity recommend products → Bulk updates across your entire catalog from a single prompt → Full access to Shopify's GraphQL API — products, themes, inventory, orders, everything Claude can read and write → An official plugin built by Shopify that auto-updates as new features ship I put together a full playbook with the plugin install, the store authentication walkthrough, 5 DTC workflows to run on day one, and the exact prompts I used. Want it for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Mike Futia

113,922 views • 4 months ago