AI & Tech Creator | 170K+ Community | Trusted by 100+ Brands | AI Tools, Marketing & Growth | Helping Brands Launch & Grow | Collab: [email protected]

Joined February 2024
Just tried out this new software called Inventable.ai My buddy referred me to it, I put in a prompt to make a startup and it built it out for me Than it marketed it for me overnight by posting TikTok slideshows, x post, and meta ads Ai is getting crazy, lmk what yall think about Inventable.aiโ€
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POV: You came to scroll, found a deal, and left with a finished video. ๐Ÿ˜ณโœจ Dreaminaโ€™s first month is only $0.29. CapCut Desktop also has a separate sale through Oct 30, with 60% OFF Pro or 40% OFF Ultra. Create AI visuals in Dreamina, then use CapCut PC Multi-Track Editing to organize your footage and audio into a cohesive edit. Each product has its own subscription and offer, so they must be purchased separately. Dreamina offer: tinyurl.com/5xbtv4x6 CapCut Desktop sale: tinyurl.com/2v23rn22 #CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale
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๐Ÿšจ AI analytics needs less guesswork and more real code. Querio just raised $5M to build a data platform specifically for AI agents โ€” with real SQL/Python behind the answers. Comment โ€œDATA TEAMSโ€ to get your BI tool turned into code for free. ๐Ÿ”— querio.ai/demo
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Introducing Querio The first analytics platform that puts your entire data stack in a git repo you own Querio makes your agents 100% consistent on your data Comment 'data teams' and i'll send you our open-source repo to move your BI tool to a git repo you own
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๐Ÿšจ You're using ChatGPT WRONG. And you're probably wasting hours because of it. Sam Altman, CEO of OpenAI, says: "You no longer need to write prompts." In just 38 minutes, he explains how to use ChatGPT at a level most people haven't even discovered. This isn't another random AI tutorial. It's a talk he gave to Stanford students. A friend sent me the recording last night. After watching it, I realized something uncomfortable: I've been using only a fraction of what ChatGPT can actually do. If you're still treating ChatGPT like a basic chatbot, you're missing out on its real potential. Watch the full 38-minute talk. Then follow me for more AI insights that can change the way you work.
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If $10 means a lot to you, this is your chance. ๐Ÿ‘€ Here's what to do: Like this post Follow me Copy this post's link Drop the link in the comments That's it. โณ You have 24 hours. Don't miss out.
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I wanna send $777 to another follower who has never won Just say hi
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๐Ÿšจ BREAKING: The engineer behind Claude Code just dropped a FREE 28-minute masterclass on prompting. And honestly, it might be more valuable than some $300 courses out there. Inside the video: โ†’ How to structure powerful prompts โ†’ CLAUDE.md files that actually work โ†’ Memory shortcuts most people overlook โ†’ Running parallel sessions โ†’ Prompting techniques that deliver better results No expensive course. No unnecessary theory. Just practical insights packed into 28 minutes. Whether you're a beginner, a developer, or already using Claude daily, you'll likely discover something that changes how you work with AI. Save it. Watch it. Share it with someone who needs it. ๐Ÿ”ฅ
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Weโ€™ve raised a $2.5M pre-seed to fix hardware hiring. The most reliable way to know if an engineer can do the job is to watch them work. In hardware, thatโ€™s been almost impossible to do at scale. Colare runs simulation-based assessments that show how candidates actually work, in the tools theyโ€™d use on the job, before anyone books an interview. We assess across: - Mechanical (CAD, DFM, FEA) - Electrical (PCB, schematics) - Systems - Manufacturing, & more. Candidates solve problems from first principles. Hiring teams see that across their whole pool, so engineers only interview people whoโ€™ve already cleared the bar. We're already working with everyone from seed-stage startups to multi-billion-dollar aerospace manufacturers. If youโ€™re hiring hardware engineers, letโ€™s talk: colare.com/
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๐Ÿšจ Most people building AI agents are just creating chatbots with extra steps. A real AI agent doesn't stop at giving you an answer. It works toward a goal. Here's the mental model that changes everything ๐Ÿ‘‡ ๐ŸŽฏ GOAL โ€” Define the outcome. ๐Ÿง  PLAN โ€” Break it into steps. โš™๏ธ ACT โ€” Use tools to get work done. ๐Ÿ” CHECK โ€” Verify the results. ๐Ÿ”„ IMPROVE โ€” Fix gaps and try again. Think about it: Don't just ask AI to find potential customers. Build a workflow that researches prospects, qualifies them, organizes the data, checks accuracy, and prepares outreach drafts. That's the shift from AI that talks to AI that works. Start with ONE repetitive task. Give it tools, clear boundaries, and a way to verify its work. Then measure the results before scaling. Save this framework. โ™ป๏ธ Repost it. Follow @Origin_AI_01 for practical AI insights. #AgenticAI #AIAgents #ArtificialIntelligence #AIautomation #AITools
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๐—”๐—š๐—˜๐—ก๐—ง๐—œ๐—– ๐—”๐—œ ๐—˜๐—ซ๐—ฃ๐—Ÿ๐—”๐—œ๐—ก๐—˜๐—— ๐—œ๐—ก ๐—ข๐—ก๐—˜ ๐—ฆ๐—œ๐— ๐—ฃ๐—Ÿ๐—˜ ๐—™๐—ฅ๐—”๐— ๐—˜๐—ช๐—ข๐—ฅ๐—ž If you're confused about the difference between AI & ML, Gen AI, AI Agents, and Agentic AI, think of them as layers. Each layer adds more capability. ๐—Ÿ๐—”๐—ฌ๐—˜๐—ฅ ๐Ÿญ โ€” ๐—”๐—œ & ๐— ๐—Ÿ This is the foundation. It includes: โ†’ Machine learning โ†’ Natural language processing โ†’ Reasoning & problem solving โ†’ Neural networks โ†’ Learning from data This is where modern AI systems begin. ๐—Ÿ๐—”๐—ฌ๐—˜๐—ฅ ๐Ÿฎ โ€” ๐—š๐—˜๐—ก ๐—”๐—œ Generative AI builds on these foundations to create new content. โ†’ Text โ†’ Images โ†’ Audio โ†’ Video โ†’ Code LLMs and Transformers are major building blocks here. ๐—Ÿ๐—”๐—ฌ๐—˜๐—ฅ ๐Ÿฏ โ€” ๐—”๐—œ ๐—”๐—š๐—˜๐—ก๐—ง๐—ฆ Now AI moves beyond simply generating content. Agents can: โ†’ Understand goals โ†’ Break tasks into steps โ†’ Use tools โ†’ Manage context โ†’ Schedule tasks โ†’ Execute actions โ†’ Validate results This is where AI starts becoming action-oriented. ๐—Ÿ๐—”๐—ฌ๐—˜๐—ฅ ๐Ÿฐ โ€” ๐—”๐—š๐—˜๐—ก๐—ง๐—œ๐—– ๐—”๐—œ Agentic AI describes the broader system around autonomous agents. It can involve: โ†’ Multi-agent collaboration โ†’ Memory systems โ†’ Feedback loops โ†’ Dynamic tool use โ†’ Agent coordination โ†’ Failure recovery โ†’ Observability โ†’ Governance & guardrails โ†’ Human-in-the-loop oversight The goal isn't just to make AI smarter. It's to make AI systems capable of working toward goals reliably. ๐—ง๐—›๐—˜ ๐—ฆ๐—œ๐— ๐—ฃ๐—Ÿ๐—˜ ๐—ช๐—”๐—ฌ ๐—ง๐—ข ๐—ฅ๐—˜๐— ๐—˜๐— ๐—•๐—˜๐—ฅ: ๐—”๐—œ & ๐— ๐—Ÿ โ†’ Learn from data ๐—š๐—ฒ๐—ป ๐—”๐—œ โ†’ Generate content ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ โ†’ Execute tasks ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ โ†’ Coordinate systems that can reason, plan, act, observe, and adapt ๐—ง๐—›๐—˜ ๐—•๐—œ๐—š ๐—ฆ๐—›๐—œ๐—™๐—ง: From: โ€œ๐—›๐—ผ๐˜„ ๐—ฑ๐—ผ ๐˜„๐—ฒ ๐—บ๐—ฎ๐—ธ๐—ฒ ๐—”๐—œ ๐—ด๐—ถ๐˜ƒ๐—ฒ ๐—ฏ๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐—ฎ๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€?โ€ To: โ€œ๐—›๐—ผ๐˜„ ๐—ฑ๐—ผ ๐˜„๐—ฒ ๐—บ๐—ฎ๐—ธ๐—ฒ ๐—”๐—œ ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—น ๐˜„๐—ผ๐—ฟ๐—น๐—ฑ ๐˜๐—ฎ๐˜€๐—ธ๐˜€?โ€ That shift is what makes agentic AI so interesting. ๐—ฆ๐—ฎ๐˜ƒ๐—ฒ ๐˜๐—ต๐—ถ๐˜€ ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ ๐—ณ๐—ผ๐—ฟ ๐—น๐—ฎ๐˜๐—ฒ๐—ฟ. Follow @AamirAnsar94694 for more AI, tools, automation and tech insights. #AI #AgenticAI #AIAgents #GenerativeAI #ArtificialIntelligence #MachineLearning #AITools #Automation
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๐Ÿšจ You're wasting Claude's potential by treating it like a single AI assistant. What if you had an entire AI team working together instead? ๐Ÿคฏ Here's how to build your first team of AI agents in Claude ๐Ÿ‘‡ ๐Ÿง  1. Team Leader Breaks down goals, delegates tasks and combines results. ๐Ÿ”Ž 2. Research Agent Finds information, analyzes data and checks sources. โœ๏ธ 3. Content Agent Creates X posts, LinkedIn content, hooks and drafts. ๐Ÿ“ˆ 4. Marketing Agent Plans campaigns, positioning and audience targeting. ๐Ÿ›ก๏ธ 5. Quality Agent Reviews accuracy, clarity and content quality. โšก How the workflow works: Goal โ†’ Delegate โ†’ Research โ†’ Create โ†’ Review โ†’ Final Output Start with just 3 agents: โ€ข Research โ€ข Content โ€ข Quality Use Claude Code + Agent SDK for programmable agent workflows or start simpler with Claude Projects + Skills. Don't build a complicated system on Day 1. Make one workflow work reliably, then expand your team. Save this guide. โ™ป๏ธ Repost it. Follow @Origin_AI_01 for practical AI workflows. #ClaudeAI #AIAgents #ArtificialIntelligence #Automation #AITools #FutureOfWork
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Warp founder and CEO Ayush Sharma (@ayushswrites) on what it means to build an AI native product. Build the product, platform and architecture so every task, starting with deep tax compliance workflows, can be performed by an agent. (Warp runs payroll, taxes and HR for fast-growing companies using AI agents.) ---- Full video on "YC Root Access" YouTube channel, (link in comment)
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The CapCut plugin is coming soon to ChatGPT desktop! ๐Ÿ“ท After CapCut World brought OpenAI and leading creators together to explore AI video creation, itโ€™s time to give product advertising a more imaginative twist. Think of a Venom-style transformation giving your next product launch or showcase a memorable visual moment. With ChatGPT desktop ร— CapCut Web, describe how each moment should unfold. ChatGPT desktop translates your ideas into instructions and calls CapCut Web to help shape an editable video draft. Want to experiment? Early access is available only on ChatGPT desktop. Installation is simple: copy the setup prompt from CapCut Web, paste it into the ChatGPT desktop app, and complete authorization. Support for ChatGPT mobile and web is expected to roll out in mid-November. #CapCutDidThat #CapCutWeb #ChatGPT #CapCutWorld
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Somewhere, a finance team is building a spreadsheet to explain what changed in last monthโ€™s spreadsheet. Add screenshots of bank statements and enough people to hold it all together. We call this โ€œclosing the books.โ€ Then do it all again next month. Just listened to Parker Gilbert from @numeric_io break down how to finally get out of this loop.
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Good one from @ElevenCreative. Explains the problem before getting to the fix.
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Getting a characterโ€™s voice and delivery right, then syncing it to AI video, used to mean endless regenerations and workarounds. With Chimera, itโ€™s one flow. Hereโ€™s how it works:
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Getting a characterโ€™s voice and delivery right, then syncing it to AI video, used to mean endless regenerations and workarounds. With Chimera, itโ€™s one flow. Hereโ€™s how it works:
You generate the perfect videoโ€ฆ and the audioโ€™s off. A word repeats. The emotionโ€™s missing. Youโ€™re stuck looping new prompts and workarounds that STILL donโ€™t work. We break down why it happens, the workarounds creators use, and the real fix below โ†“
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This video looks fake to me. I honestly canโ€™t imagine anyone having the courage to jump from such an insane height. Am I right, or am I missing something, bro? @grok
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Ali Hussain, CEO of Tabs (AI agents for finance and accounting), on going slow before scaling fast. Hussainโ€™s rule for growth is that you sometimes have to โ€œgo slow before you can go fast.โ€ Putting a few pieces in place early is painful, but it makes everything after it much faster. @AliHussain15207 ---- (Full video on "EO" YouTube channel, link in comment)
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Once AI is ready for finance, the world is gonna be a different place. Strict compliance is the main reason AI hasn't fully exploded in accounting yet. But @john__glasgow and the team at @Meet_campfire are changing that with a deterministic model built specifically for finance.
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Elite ML researchers aren't building chatbots anymore. They're building stuff like agentic accounting. I just listened to Matt Harpe from @trybasis explain that and it clicked almost immediately.
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