Zoya ai

Creating shouldn’t feel like a technical task. It should feel natural.

ChatGPT Prompts That Feels ILLEGAL To Know: [ Bookmark for later 🔖 ]

💸 Why pay for AI tools when FREE ones can do the job? 👇 🔹 ChatGPT → Claude AI 🔹 MidJourney → Bing Create 🔹 Runway → Pika Labs 🔹 Canva → Microsoft Designer 🔹 OpusClip → 2short.ai 💡 Save money. Work smart. Same results. Which one do you use? 👇

100+ AI Tools to replace your tedious work (sorted by what they do best): 1. Research (ask, summarize, fact-check) - ChatGPT – brainstorming + deep answers - YouChat – quick web-powered replies - Abacus – structured analysis - Perplexity – sources + citations - Copilot – work + web in one place - Gemini – strong multi-modal research 2. Image (generate, edit, enhance) - Higgsfield AI Soul – stylized portraits - GPT-4o – image edits + prompts - Midjourney – cinematic art - Grok – fast creative visuals 3. Productivity (plans, docs, workflows) - Gamma / Gamma AI – instant decks & docs - Grok 3 – rapid ideation - Perplexity AI – research-to-notes - Gemini 2.5 Flash – speed tasks 4. Writing (polish, rewrite, templates) - Jasper, Jenny AI, Textblaze, Quillbot 5. Video (clips, avatars, edits) - Klap, Kling, InVideo, HeyGen, Runway 6. Meeting (record, summarize, action items) - Tldv, Otter, Noty AI, Fireflies 7. SEO (keywords, briefs, rankings) - VidIQ, Seona AI, BlogSEO, Keywrds ai, Outrank AI 8. Presentation (slides, pitch decks) - Decktopus, Slides AI, Gamma AI, Designs AI, Beautiful AI 9. Design (graphics, mockups, cleanup) - Canva, Flair AI, Designify, Clipdrop, Autodraw, Magician design 10. Audio (voice, cleanup, music) - Lovo ai, Eleven labs, Songburst AI, Adobe Podcast 11. Marketing (ads, creatives, copy) - Pencil, Ai-Ads, AdCopy, Simplified, AdCreative 12. Startup (names, validation, pitching) - Tome, Ideas AI, Namelix, Pitchgrade, Validator AI 13. Social media management (scheduling, growth) - Tapilo, Typefully, Hypefury, TweetHunter Follow & DM @Bhanusinghyede for more such amazing stuff ♥️

Claude ahora puede crearte un canal de video con IA completo desde cero como un consultor creador de $10,000 (gratis). Te dejo 10 prompts que te llevarán de cero a un canal de video de IA monetizado en 90 días: (Guardar para más tarde) x.com/David_eficaz/s…

BREAKING: AI can now build you a complete website in 2 hours (for free). Here are 9 insane Claude Opus 4.6 + Figma Make prompts that create $5,000 websites in 2 hours: (Save this before your competitors do)

You can make Claude, ChatGPT, and Gemini feel 20x smarter… just by adding a single sentence Here are 10 “decisive” and powerful prompts that almost no one uses: [Save them for when you need them]

🛑 BREAKING: This changes EVERYTHING… Claude AI can now replicate high-retention YouTube editing styles — automatically. No team. No experience. No budget. Just smart prompts = mass viral content at scale. ⚡ Here are 7 advanced prompts to generate 30+ viral-ready videos in under 30 minutes 👇

10 Red Flags in Business Strategy that could sink your company before you even notice. Spot them early.

🚨 Anthropic's own team just showed how to actually build with MCP. 18 minutes. free. from the Creator of MCP. watch the workshop. bookmark it. worth more than every $300 course you almost bought. you've been using Claude without knowing 50 of its plugins. Then read the guide below.

After reading @AnthropicAI blog on Agentic AI. spent some time to create a mental model to understand how to design, and explain Agentic AI architecture Define a task/goal - what you want agent to do achieve? 1. Orchestration layer : it is your control panel 3. Agents layer: this layers made of agents (multi /specialised) 4. tools: your tools are made of this layer (web search, DB, APIs etc) 5. memory: this is the brain to store information - long or short term etc. 6. monitoring : This is the most crucial to monitor each and every step 7. Reliability & failure management: identify errors, retry, fallback, involve human 8. Governance and security: compliance, audit, auth etc.

10 GitHub repos that should be illegal to be free: 1. AutoHedge Autonomous hedge fund in Python. 4 AI agents: Director writes the strategy, Quant validates, Risk Manager sizes the position, Execution places the order. `pip install -U autohedge` github.com/The-Swarm-Corp… 2. build-your-own-openclaw 18 progressive steps from a basic chat loop to multi-agent routing, persistent memory, and production concurrency. Every step ships with working code and a README. github.com/czl9707/build-… 3. Map Anything Meta's one transformer that does depth, camera calibration, pose recovery, and multi-view stereo in a single forward pass. github.com/facebookresear… 4. three-man-team 3-agent AI dev team. Architect plans. Builder builds. Reviewer clears it or sends it back. Works across Claude Code, Cursor, VS Code. github.com/russelleNVy/th… 5. Camofox Browser Headless browser that makes AI agents invisible to bot detection. Spoofs navigator, WebGL, AudioContext, and WebRTC at the C++ level. github.com/jo-inc/camofox… 6. Vibe-Trading 64 finance skills. 29 swarm presets. Full quant toolkit. DAG-based agents that collaborate in real time. HK/US equities and crypto data completely free. github.com/HKUDS/Vibe-Tra… 7. Claude Ads 190 audit checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft Ads. 6 parallel subagents. This is what I was paying $4,000 a month for. github.com/AgriciDaniel/c… 8. LibreChat Every model ChatGPT runs, plus Claude, Gemini, DeepSeek, and 20 more. Native MCP. On your own server. Pay APIs at cost. No platform fee. librechat.ai 9. Open Higgsfield AI Self-hosted cinema studio with 200+ AI models. Flux, Sora, Kling, Veo, SDXL in one interface. No subscription. Data stays local. github.com/Anil-matcha/Op… 10. Fincept Terminal Most of what a $24,000-a-year Bloomberg seat does. CFA Level 1, 2, 3 analytics. 20+ investor AI agents. 100+ data connectors. Local LLM support. github.com/Fincept-Corpor…

DOCKER ARCHITECTURE (CLIENT, DAEMON, REGISTRY, CONTAINERD, RUNC) EXPLAINED WHAT IS DOCKER ARCHITECTURE -> Docker uses a client-server architecture -> Multiple components work together to build and run containers -> Each component has a specific responsibility -> Designed for modularity, scalability, and efficiency HIGH-LEVEL FLOW -> User runs a command using Docker Client -> Client sends request to Docker Daemon via REST API -> Daemon processes the request -> Containerd manages container lifecycle -> Runc creates and runs the container -> Images are pulled from Docker Registry if needed DOCKER CLIENT -> The interface used by developers -> Commands like docker build, docker run, docker pull -> Communicates with Docker Daemon -> Can connect to local or remote Docker hosts DOCKER DAEMON -> Core service running on the host -> Also called dockerd -> Listens for API requests from the client -> Builds images and manages containers -> Coordinates with containerd DOCKER REGISTRY -> Stores Docker images -> Public registry example is Docker Hub -> Can also be private -> Docker pulls images from registry when not available locally -> Docker pushes images to share with others CONTAINERD -> Container runtime manager -> Responsible for container lifecycle management -> Handles image transfer and storage -> Manages execution lifecycle of containers -> Acts as a bridge between Docker Daemon and low-level runtime RUNC -> Low-level container runtime -> Responsible for actually running containers -> Creates namespaces and cgroups -> Interacts directly with the Linux kernel -> Executes containers according to OCI standards HOW COMPONENTS WORK TOGETHER -> Docker Client sends command -> Docker Daemon receives and processes it -> Daemon pulls image from Registry if required -> Daemon instructs containerd to manage container -> Containerd uses runc to create and start container -> Container runs as an isolated process on host OS WHY THIS ARCHITECTURE MATTERS -> Modular design improves flexibility -> Separation of concerns enhances maintainability -> Efficient container execution with lightweight runtime -> Supports scalability in production environments QUICK SUMMARY -> Docker Client interacts with the user -> Docker Daemon manages overall operations -> Registry stores and distributes images -> Containerd manages container lifecycle -> Runc executes containers at the lowest level -> All components work together to run containers efficiently LEARN DOCKER IN DEPTH -> Grab the Docker Mastery eBook -> codewithdhanian.gumroad.com/l/svjkv

120 Mind-Blowing AI Tools 1. Ideas - YOU - Claude - ChatGPT - Perplexity - Bing Chat 2. Presentation - Prezi - Pitch - PopAi - Slides AI - Slidebean 3. Website - Dora - Wegic - 10Web - Framer - Durable 4. Writing - Rytr - Jasper - Copy AI - Textblaze - Writesonic 5. AI Models - RenderNet - Glambase App - Luma AI - Sora (OpenAI) - Leonardo AI 6. Meeting - Tldv - Krisp - Otter - Avoma - Fireflies 7. Chatbots - Poe - Claude - Gemini - ChatGPT - HuggingChat 7. Automation - ClickUp - Drift - Outreach - Emplifi - Phrasee 8. UI/UX - Uizard - Visily - Khroma - Galileo AI - VisualEyes 9. Image - Stylar - Freepik - Phygital+ - StockIMG - Bing Create 10. Video - Pictory - HeyGen - Nullface - Decohere - Synthesia 11. Design - Looka - Clipdrop - Autodraw - Vance AI - Designs AI 12. Marketing - AdCopy - Predis AI - Howler AI - Bardeen AI - AdCreative 13. Twitter - Typefully - Postwise - Metricool - Tribescaler - TweetHunter - Reply Send Follow me @this_is_tasnim

How to make money with AI and Automation Follow @_Toslim for more🤝

🚨 BREAKING 🚨 Claude vs ChatGPT is getting intense. One helps you write. The other helps you PRINT money. Most people are using them wrong. Here’s the exact system I used to go from $0 → $1,200/month using AI tools (step-by-step): Steal this 👇

HOW TO USE CLAUDE IN EXCEL, WORD & POWERPOINT WORK SMARTER, ANALYZE DEEPER, AND CREATE BETTER WITH AI 🔴EXCEL HOW TO USE CLAUDE 🔹 What Claude Can Do • Interprets your data and uncovers meaningful insights • Builds advanced formulas and nested calculations • Cleans, reshapes, and organizes messy datasets • Detects trends, anomalies, and key patterns • Automates analysis with clear, step-by-step guidance 🔹 How to Work with Claude Upload your data or describe what you want to know. Claude will analyze it, create formulas, explain the results, and suggest next steps, so you can make better decisions. 🔴WORD HOW TO USE CLAUDE 🔸 What Claude Can Do • Writes, edits, and rewrites to match your tone and intent • Improves clarity, flow, and overall structure • Condenses or expands content without losing meaning • Creates summaries, key takeaways, and outlines • Helps with formatting, headings, and document layout 🔸 How Claude Improves Your Writing • Enhances readability and eliminates fluff • Maintains consistency across long documents • Adapts to your style and audience • Provides constructive suggestions and alternatives • Saves time on editing and refinement 🔴POWERPOINT HOW TO USE CLAUDE ▪️ What Claude Can Do • Turns ideas, documents, or data into slide outlines • Writes engaging slide content and speaker notes • Recommends visuals, charts, and layouts • Builds narratives that inform and persuade • Refines messaging for maximum impact ▪️ The Result Claude helps you create presentations that are clear, compelling, and visually engaging, in a fraction of the time. 🔴EXAMPLE PROMPTS TO GET STARTED WITH CLAUDE 🔹 Analyze Data Review this dataset and identify the top 5 drivers of revenue. Explain what’s driving the differences. 🔹 Build a Formula Create a formula that calculates the rolling 3-month average sales per region, ignoring blank cells. 🔹 Clean & Prepare Data Remove duplicates, standardize country names, and fill missing values with the most likely option. 🔹 Draft a Document Write a project brief for a product launch. Include goals, audience, and timeline. 🔹 Edit for Clarity Rewrite this section to be more concise and impactful. Improve flow and remove redundancy. 🔸 Summarize Long Text Summarize this report in 5 key points and include the main risks and opportunities. 🔸 Create an Outline Outline a strategy document for entering a new market. Include key sections and what to cover. ▪️ Build Slide Deck Create a 10-slide presentation outline on Q4 results with key takeaways and charts to include. ▪️ Write Slide Content Write slide content for this outline. Keep it concise, actionable, and presentation-ready. ▪️ Refine for Impact Make this deck more persuasive for executives. Focus on metrics, story, and clarity. ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @sonalshukla3377 for more such posts

Most people are using AI like Google. Power users use AI like an operating system. Here’s the difference: If you’re only using ChatGPT for random prompts, you’re barely scratching the surface. The real shift happens when you stop asking: “Which AI is best?” …and start asking: “What is each AI best for?” Because each one has a role: → ChatGPT = your creator Writing, coding, brainstorming, content, workflows → Grok = your trend radar Real-time insights, social sentiment, cultural pulse → Gemini = your operator Docs, Sheets, Gmail, team workflows, execution → Claude = your analyst Deep thinking, long documents, nuanced writing → Perplexity AI = your researcher Citations, fact-checking, reliable answers Power users don’t pick one. They build a system. Here’s a simple way to start: 1. Create with ChatGPT → ideas, drafts, first principles thinking 2. Validate with Perplexity → check facts, add sources, tighten accuracy 3. Deepen with Claude → refine logic, improve clarity, structure thinking 4. Operationalize with Gemini → turn ideas into workflows, docs, execution 5. Amplify with Grok → plug into trends, shape distribution, go viral That’s how you go from: “using AI” to “building leverage with AI” The future isn’t about knowing more. It’s about orchestrating intelligence better. Go sign up at 10xme.biz for a free AI diagnostic and newsletters.

Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: t.co/kyDon6qLrb 2. LLMs from Scratch: t.co/2hyMhuKoiI 3. Agentic AI Overview (Stanford): t.co/FXu6cAqITC 4. Building and Evaluating Agents: t.co/ZigR1tdOFL 5. Building Effective Agents: t.co/uYwfwO55mO 6. Building Agents with MCP: t.co/4arFTW1b3i 7. Building an Agent from Scratch: t.co/eOmveyM9Hz 8. Philo Agents: t.co/zLu7x1tx9m 🗂️ Repos 1. GenAI Agents: t.co/eXCl2YaRPv 2. Microsoft's AI Agents for Beginners: t.co/3CSW4zPAwf 3. Prompt Engineering Guide: t.co/GVzvxPYDVO 4. Hands-On Large Language Models: t.co/0rgDvhx3pI 5. AI Agents for Beginners: t.co/3CSW4zPAwf 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: t.co/9z5KHF9DMe 8. Hands-On AI Engineering:t.co/dldAj5Xkr6 9. Awesome Generative AI Guide: t.co/U2WZhT4ERV 10. Designing Machine Learning Systems: t.co/sYAZX34YdQ 11. Machine Learning for Beginners from Microsoft: t.co/NjFxHbC9jZ 12. LLM Course: t.co/N34YTPu1OK 🗺️ Guides 1. Google's Agent Whitepaper: t.co/bW3Ov3vMW0 2. Google's Agent Companion: t.co/wredwWAbBA 3. Building Effective Agents by Anthropic: t.co/fxtE4alVrJ. 4. Claude Code Best Agentic Coding practices: t.co/lLSwJ9pG7C 5. OpenAI's Practical Guide to Building Agents: t.co/xgkEIogGfh 📚Books: 1. Understanding Deep Learning: t.co/CjcKpTemmV 2. Building an LLM from Scratch: t.co/DaWBxOx8o3 3. The LLM Engineering Handbook: t.co/ZA1n0N41Mf 4. AI Agents: The Definitive Guide - Nicole Koenigstein: t.co/boLkl1VlKb 5. Building Applications with AI Agents - Michael Albada: t.co/H1Xf5EkJLL 6. AI Agents with MCP - Kyle Stratis: t.co/JI3ELQZE6a 7. AI Engineering: t.co/Xk0JzMIf7o 📜 Papers 1. ReAct: t.co/QNqE4UU55w 2. Generative Agents: t.co/CwEpoJgY1U. 3. Toolformer: t.co/5m9xZd5teZ 4. Chain-of-Thought Prompting: t.co/KjVlgdWi77. 🧑🏫 Courses: 1. HuggingFace's Agent Course: t.co/7FSUYKxIdG 2. MCP with Anthropic: t.co/IkZGiWm2yS 3. Building Vector Databases with Pinecone: t.co/2YRoMfLdXd 4. Vector Databases from Embeddings to Apps: t.co/23A50ixbHJ 5. Agent Memory: t.co/uc3L9BrNF7 Repost for your network ♻️

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