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6 AI Tools That Feel Like 👇

@soni_jyoti_ Great

I recently received an invitation to try out the virtual clothes try-on API. The AI API setup is super simple; by utilizing current AI tools, I quickly built my own clothes try-on website.

ChatGPT just became way more useful than “just a chatbot.” I connected ChatGPT with Gamma… and it turned years of random conversations into an actual career roadmap. This feels like the beginning of AI that truly understands you. 🧵👇

@SaurabhDub28465 Amazing

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@swadeshkumar_ Great

Hot Take AI Engineers making $300k aren’t just writing prompts anymore. They’re building Agentic AI systems. Systems that can: • Think • Plan • Use tools • Access memory • Call APIs • Handle failures • Execute tasks autonomously Most people see ChatGPT as “AI”. But under the hood, real AI agents work like this: → Input Layer Collects data from APIs, users, databases, logs, sensors, web scraping → Reasoning Layer Analyzes queries, retrieves memory, plans actions, selects tools, manages context → Action Layer Executes tasks, collaborates with agents, handles errors, improves through feedback loops → Output Layer Generates responses & completes workflows automatically This is why companies are aggressively hiring AI Engineers right now. Because the next billion-dollar products won’t be simple chatbots. They’ll be autonomous AI systems. 🔁 Repost to share in your network Follow for more !!

@sumitdoriya21 Amazing

AI used to wait for commands. Now it watches, learns, and creates with you. Scrolling is becoming the new prompting. Every vibe, every clip, every moment turns into inspiration for creation. This isn’t just editing anymore — it’s AI that understands your style.

Dynamic routing based on real traffic conditions feels much more practical than static model benchmarks. The best model isn’t always the fastest, cheapest, or most reliable one in production. That tradeoff layer is becoming increasingly important.

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🚨 AI Content Race is HERE Some people still editing… Others scaling 1000+ ads/day 🤯 Clawdbot + Kling + AI UGC = full automation No team. No delay. Just results. 1 product → 100s of ads Winners test FAST, not perfect. Want full setup? Comment “YES” 👇 Follow must

THAT’S WHY AIRLINES HATE CLAUDE 4.6 Flight price: $879. I paid $299. No points. No memberships. No VPN. Here are the 8 prompts I used to travel like a pro ↓

Top 50 AI tools worth trying in 2026: 🤖 Chatbots & Research 1. ChatGPT 2. Claude 3. Gemini 4. Perplexity 5. Grok 6. NotebookLM 7. DeepSeek 8. Character AI 9. Poe 10. Kimi 💻 Coding & Development 11. Cursor 12. GitHub Copilot 13. Replit 14. v0 15. Tabnine 16. Windsurf 17. Amazon Q 18. Lovable 19. Bolt.new 20. Cody 🎨 Image & Design 21. Midjourney 22. Canva AI 23. Adobe Firefly 24. Leonardo AI 25. FLUX 26. Ideogram 27. Freepik AI 28. Figma AI 29. PhotoRoom 30. Krea AI 🎥 Video Creation 31. Runway 32. Sora 33. HeyGen 34. Pika 35. Dream Machine 36. CapCut AI 37. Synthesia 38. Descript 39. Kling AI 40. InVideo AI ⚡ Productivity & Automation 41. Notion AI 42. Microsoft Copilot 43. Gamma 44. Zapier AI 45. Otter AI 46. ElevenLabs 47. Suno 48. Udio 49. Relume 50. Framer AI AI is replacing entire workflows faster than most people realize. 👀 Don’t forget to try this 🔖

𝗠𝗼𝘀𝘁 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗮𝗶𝗹 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗶𝘀 𝗲𝘃𝗲𝗻 𝗽𝗶𝗰𝗸𝗲𝗱. The team starts with the model. Then tries to wrap a workflow around it. That order is the problem. A real production AI system is a workflow first. The model is one layer inside it. Here is the architecture I keep coming back to. 𝗧𝗵𝗲 𝟳 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗮𝗻𝘀𝘄𝗲𝗿 𝗳𝗶𝗿𝘀𝘁 → Input — what starts the workflow? → Context — what information does the AI need? → Decision — what should the AI classify, summarize, or generate? → Tool or Action — what system does it touch? → Validation — how is the result checked? → Human approval — where is judgment required? → Output — what does success look like? If you can't answer these in plain language, the model will not save you. 𝗧𝗵𝗲 𝟴 𝗹𝗮𝘆𝗲𝗿𝘀 𝗼𝗳 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 A. Trigger Layer — how work begins. User query, email, ticket, uploaded file, meeting note. B. Context Assembly Layer — gather the right inputs. Docs, policies, CRM, database, past history, vector search, examples. C. AI / Decision Layer — interpret, reason, generate. Classify, summarize, route, draft, extract. D. Tool Orchestration Layer — take action through systems. GitHub, Slack, Postgres, API, email, calendar, ticketing. E. Validation and Guardrails — check before action. Schema check, policy check, confidence threshold, source and citation check, test and verification. F. Human-in-the-Loop — approval where risk is high. Legal, finance, external send, security, customer-impacting action. G. Output and Action — what the workflow produces. Draft email, updated ticket, report, alert, code change, dashboard update. H. Feedback and Improvement — close the loop. Logs, user feedback, evaluations, prompt updates, memory updates. Each layer has a job. Skip one and the system breaks in production. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗶𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝗮𝗱𝘆 → Clear inputs — define the trigger and required data. → Reliable context — the right docs, history, and business rules. → Action boundaries — limit what tools and systems AI can touch. → Validation — verify structure, accuracy, and policy compliance. → Human oversight — approvals where business risk exists. → Continuous improvement — learn from logs, evaluations, and feedback. 𝗧𝗵𝗲 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 AI should operate inside a workflow, not outside it. Every action needs context, validation, and accountability. Production AI = reasoning + tools + controls + review. Don't start with the model. Start with the workflow. Join AI Community: whatsapp.com/channel/0029Va… 🎉 FREE Claude AI Certification: 👇🏻👇🏻 ✅ Register here: : tinyurl.com/AI-Fee-Course-… Where do most teams get stuck first — context assembly, validation, or human approval?

Kids animation is a hidden goldmine on YouTube 💸 No face. No voice. Just simple stories. One channel: 721K subs 24 videos only 👀 Want the blueprint? Comment “KIDS” 👇 Follow me 🚀

Stop asking claude “write an email”. Stop asking claude “write an email”. A bad prompt → a bad response. Do you want to see the magic? Use these prompts instead:

52 free resources, sorted into 4 modules: CLAUDE CODE 1. lnkd.in/e7gUgJFe 4-hour build + sell course 2. lnkd.in/eVNQjV66 full Code tutorial 3. lnkd.in/eBBsW3SD Code for beginners 4. lnkd.in/eaHUHfnE full 2026 walkthrough 5. lnkd.in/e6nZb9JZ 32 tricks in 16 mins 6. lnkd.in/ehtPc5Tg complete Claude guide 7. lnkd.in/eX9prA4V beginner to advanced 8. lnkd.in/e-934Yhi Claude features ranked 9. anthropic.skilljar.com the official course 10. code.claude.com/docs official documentation CLAUDE COWORK 11. lnkd.in/efCGYqNh Anthropic's official intro 12. lnkd.in/eMGATsbn Cowork in 20 mins 13. lnkd.in/eB-8-c7i better than 99% of users 14. lnkd.in/exZCjUbg full beginner walkthrough 15. lnkd.in/epwYqQKA 100M views with Cowork 16. lnkd.in/eeHWHJ49 Cowork on your desktop 17. lnkd.in/eMRDhZYJ Code + Cowork combined 18. anthropic.skilljar.com official course CLAUDE DESIGN 19. lnkd.in/eKsTX-4T Anthropic's official intro 20. lnkd.in/e42_X9hY Design got unstoppable 21. lnkd.in/eFhPrBYp master 95% in 17 mins 22. lnkd.in/eg7b5hmM master 95% in 10 mins 23. lnkd.in/egy4Q4NQ launch reaction video 24. lnkd.in/eWtwB-nJ why I replaced Canva 25. lnkd.in/eZHgXYn7 Design launch breakdown 26. lnkd.in/eZ6wSdJA design in Code, not Canva Save this for the next time you want to learn Claude. ❤️ Like 🔁 Repost 🔖 Bookmark Follow @SaurabhDub28465 for more of these free courses. productivity content.

You can make Claude, ChatGPT, and Gemini 20x smarter… just by adding one sentence Follow @Alina_wi These are 10 “decisive” and powerful sentences that no one uses: 👇 [ Add to bookmarks 🔖 you'll need it]