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.ai”

🚨 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 👇 🎯 GOAL — Define the outcome. 🧠 PLAN — Break it into steps. ⚙️ ACT — Use tools to get work done. 🔍 CHECK — Verify the results. 🔄 IMPROVE — 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. ♻️ Repost it. Follow @Origin_AI_01 for practical AI insights. #AgenticAI #AIAgents #ArtificialIntelligence #AIautomation #AITools

𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜 𝗘𝗫𝗣𝗟𝗔𝗜𝗡𝗘𝗗 𝗜𝗡 𝗢𝗡𝗘 𝗦𝗜𝗠𝗣𝗟𝗘 𝗙𝗥𝗔𝗠𝗘𝗪𝗢𝗥𝗞 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. 𝗟𝗔𝗬𝗘𝗥 𝟭 — 𝗔𝗜 & 𝗠𝗟 This is the foundation. It includes: → Machine learning → Natural language processing → Reasoning & problem solving → Neural networks → Learning from data This is where modern AI systems begin. 𝗟𝗔𝗬𝗘𝗥 𝟮 — 𝗚𝗘𝗡 𝗔𝗜 Generative AI builds on these foundations to create new content. → Text → Images → Audio → Video → Code LLMs and Transformers are major building blocks here. 𝗟𝗔𝗬𝗘𝗥 𝟯 — 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧𝗦 Now AI moves beyond simply generating content. Agents can: → Understand goals → Break tasks into steps → Use tools → Manage context → Schedule tasks → Execute actions → Validate results This is where AI starts becoming action-oriented. 𝗟𝗔𝗬𝗘𝗥 𝟰 — 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜 Agentic AI describes the broader system around autonomous agents. It can involve: → Multi-agent collaboration → Memory systems → Feedback loops → Dynamic tool use → Agent coordination → Failure recovery → Observability → Governance & guardrails → 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. 𝗧𝗛𝗘 𝗦𝗜𝗠𝗣𝗟𝗘 𝗪𝗔𝗬 𝗧𝗢 𝗥𝗘𝗠𝗘𝗠𝗕𝗘𝗥: 𝗔𝗜 & 𝗠𝗟 → Learn from data 𝗚𝗲𝗻 𝗔𝗜 → Generate content 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 → Execute tasks 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 → Coordinate systems that can reason, plan, act, observe, and adapt 𝗧𝗛𝗘 𝗕𝗜𝗚 𝗦𝗛𝗜𝗙𝗧: From: “𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗔𝗜 𝗴𝗶𝘃𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗻𝘀𝘄𝗲𝗿𝘀?” To: “𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗹𝗱 𝘁𝗮𝘀𝗸𝘀?” That shift is what makes agentic AI so interesting. 𝗦𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗹𝗮𝘁𝗲𝗿. Follow @AamirAnsar94694 for more AI, tools, automation and tech insights. #AI #AgenticAI #AIAgents #GenerativeAI #ArtificialIntelligence #MachineLearning #AITools #Automation

🚨 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? 🤯 Here's how to build your first team of AI agents in Claude 👇 🧠 1. Team Leader Breaks down goals, delegates tasks and combines results. 🔎 2. Research Agent Finds information, analyzes data and checks sources. ✍️ 3. Content Agent Creates X posts, LinkedIn content, hooks and drafts. 📈 4. Marketing Agent Plans campaigns, positioning and audience targeting. 🛡️ 5. Quality Agent Reviews accuracy, clarity and content quality. ⚡ How the workflow works: Goal → Delegate → Research → Create → Review → Final Output Start with just 3 agents: • Research • Content • 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. ♻️ Repost it. Follow @Origin_AI_01 for practical AI workflows. #ClaudeAI #AIAgents #ArtificialIntelligence #Automation #AITools #FutureOfWork

Good one from @ElevenCreative. Explains the problem before getting to the fix.

This video looks fake to me. I honestly can’t imagine anyone having the courage to jump from such an insane height. Am I right, or am I missing something, bro? @grok

This Black Friday deal is worth a look: save up to 60% on CapCut Desktop through Oct 30. Desktop Only! When you're creating a Halloween marketing video for a brand, inconsistent lighting across AI-generated shots can make the final edit feel disconnected. Intelligent Grading helps you batch-adjust color across clips, making it easier to build a more cohesive visual mood. It's a useful reminder that generating footage is only one part of making a campaign. The finishing touches on CapCut PC are what help the whole video feel like one piece. #capcutpc #capcutmarketing #capcutsale #capcutblackfriday tinyurl.com/2v23rn22

🚨 AI is evolving beyond answering your prompts. If you're still using it only as a chatbot, you're missing the bigger opportunity. AI is moving from generating answers to taking action. 🤖 Here's what changes 👇 ❌ Traditional AI → You give a prompt → AI gives an answer → You do the remaining work ✅ Action-taking AI → Understands your goal → Plans the steps → Uses tools and integrations → Executes tasks → Checks results → Asks for approval when needed 🔥 Real-world examples: 📩 Sales: Research prospects and draft outreach emails. ✍️ Content: Research topics and prepare posts. 📊 Business: Analyze data and generate reports. ⚙️ Automation: Handle repetitive workflows. 🗓️ Personal assistant: Organize tasks and schedules. The real shift? Stop asking only, “What can AI tell me?” Start asking, “What work can AI help me complete?” The future belongs to people who know how to build useful AI workflows, not just write better prompts. Save this. ♻️ Repost it. Follow @Origin_AI_01 for practical AI insights. #AI #AIAgents #ArtificialIntelligence #Automation #FutureOfWork