AI TIP #1 Feel clueless about where to use AI at work/ life? - List every task you repeat daily/ weekly - Shortlist the tasks that can be done by AI - Write a prompt for each of it That’s the entry point! ------ Comment the task that you want to automate, and I’ll help you with the prompt… 🤘🏻

The danger isn’t that AI learns too fast. It’s that you stopped learning.

🚨NEW PODCAST🎙️ Using ChatGPT is like having a smart friend who never gets tired of your questions. Sat with @AnkitOnTech to talk about how beginners can actually use it, simple tips, real use cases, and features no one talks about. The full video is linked below👇

ChatGPT might be using your chats to train itself Unless you turn this one setting OFF. Watch till the end… it takes just 10 seconds to protect your data Save this for later & follow for more hidden ChatGPT tips.

Ever wondered if ChatGPT remembers everything you tell it? Well… it does. Unless you use Incognito Mode. No memory. No history. No training. Just click that tiny icon on the top right and go stealth mode. Perfect when you want a private chat with ChatGPT. But remember, even in incognito, never share sensitive data. Save this for later & follow for more hidden ChatGPT tips.

Stop letting ChatGPT expose you! Most people don’t realize this, but the way you write with ChatGPT can instantly reveal that it wasn’t written by a human. In this reel, I break down: → The “em-dash” trap → The overused words you must avoid → A simple settings tweak to make your content sound more human Want my exact custom instruction prompt for ChatGPT? Comment “GPT 10x” and I’ll send it straight to your DMs.

Let me hit you with a funny stat: Responding to an inbound lead within 1 minute can 4x your conversions. Now guess how long the average company takes? 47 hours. Forty. Seven. Hours! That’s not a delay. That’s a donation… to your competitor. Because while you're hitting the snooze button, your lead is still scrolling... And now her feed's algorithm is pitching your competitors' products. To solve this, I built a bot that: → Grabs leads the second they come in → Qualifies them as hot, warm, or cold → Books demo calls while you're still sleeping It’s fast. It’s simple. It prints money. Want a quick demo pricing? Reply YES - It'll be worth your time. Remember: Speed closes deals. Hesitation bleeds money.

Founders/marketers, be honest - How often do you lose leads because no one replied fast enough?

1/ Can an AI voice agent really talk to customers, answer queries, & even book appointments? In our latest @0xPivot_ 0xHub Masterclass that exactly what we covered. - Build & customize AI voice agents with @Vapi_AI. - Trigger automated phone calls using @n8n_io. - Connect workflows to Twilio, Google Sheets, CRMs. - Qualify leads schedule appointments - Handle call summaries using an AI Agent. - Handle language support, phone integration. Thanks @AnkitOnTech for such a brilliant session! 🎥 Watch the full session here: youtu.be/rRRLlRKuMGI #AI #VoiceAI #AIagents #Automation #n8n #VAPI #Startups #Web3 #NoCode

📞 Still handling routine calls & manual follow-ups yourself? 🤖 Wish you had a voice agent to do it for you? Pivot is here to help you automate it all with zero code in our next AI Agents Masterclass series: ⚡️“Building Voice Agents using VAPI and n8n”⚡️ 📅 When? 24th May | 10:30 AM UTC 🎟️ Register FREE: lu.ma/gpednkik Led by Ankit Jaiswal (@AnkitOnTech), Founder @Big_Bang_AI, this hands-on session covers: ✅ Creating a no-code Voice Agent using @Vapi_AI & @n8n_io. ✅ Automating daily calls, reminders, and task handoffs ✅ Integrate across 700 tools (Slack, Notion, Gmail & more) ✅ Giving your agent memory, tone & multi-step logic Let your Agent talk, think, and get work done 💼💬 #letspivot #VoiceAI #NoCode

10 must-know terms in Generative AI and LLMs: 1. Generative AI AI that creates new content - text, images, code, or audio, by learning patterns from large datasets. Example: ChatGPT writing an article from scratch. 2. Large Language Models (LLMs) AI models trained on huge amounts of text to predict the next word and generate human-like language. Example: GPT-4 completing your sentence when you start typing. (ChatGPT uses GPT-4o LLM among others) 3. Prompt Engineering Crafting better questions or instructions to get more accurate outputs from AI. Example: Instead of “Write about marketing,” you ask, “Write a LinkedIn post on B2B SaaS marketing trends in 2025.” 4. Fine-tuning Customizing a general AI model for a specific task or industry by training it further on specialized data. Example: Training GPT on legal documents to draft contracts more accurately. 5. Tokens The chunks of text (like words or word-parts) AI reads to process and respond. Example: “ChatGPT is smart” has 4 tokens. 6. Hallucination When AI gives a confident but factually wrong or made-up response. Example: ChatGPT citing a fake study that doesn’t exist. 7. Context Window The limit of how much text the model can “remember” during a conversation. Example: GPT-4.1 can reference up to 1 million tokens from earlier in the chat. 8. Bias in AI When the AI's output reflects unfair or skewed views from its training data. Example: An AI resume screener favoring male candidates due to biased historical data. 9. Multimodal Models Models that can process and respond using different types of data - text, image, audio, or video. Example: Uploading a photo and asking the AI to describe it. 10. Latency The delay between sending a prompt and receiving a response. Example: Waiting 3 seconds after clicking “Generate” before the AI replies. ------------------------ What other terms would you like to add? Mention in comments 👇

5 AI use-cases with highest ROI, Ignore them, and you’re losing both time and money. 1. Automate repetitive tasks Let AI agents handle grunt work: scheduling, replies, summaries, data entry → Connect to email, calendar, Notion, CRM → Run 24/7 via no-code workflows Tools: @make_hq, @n8n_io, @OpenAI API 2. Accelerate coding Use AI as your co-pilot. Literally. → Generate boilerplate, modules → Debug with context → Translate logic across stacks Tools: @github Copilot, @cursor_ai, @AnthropicAI Claude 3. Learn anything faster Your personal AI tutor, explainer, quizmaster. → Simplify complex topics → Summarize PDFs, YT videos → Auto-generate flashcards Tools: @perplexity_ai, @Google AI Studio, Notebook LM, @NotionHQ AI 4. Scale content creation Turn ideas into content in minutes. → Drafts, carousels, scripts → Repurpose long → short → Multi-format from one prompt Tools: Claude, @easygen_io, @gammaapp, @canva 5. Build internal AI chatbots Turn your docs into an assistant. → Upload SOPs, decks, manuals → Train a chatbot on your content → Deploy on web, Slack, or support Tools: @chatbase_co, CustomGPT, Claude RAG stack These aren’t hacks. They’re multipliers. What else would you add? 👇

Everyone’s bashing 'vibe-coding', but they’re missing the point. Yes, vibe-coded websites aren't usually secure, I wouldn’t trust them with my credit card either... yet. But does that mean it’s useless? Absolutely not. They're great for: → Personal portfolios → Landing pages → Quick MVPs → Experimenting in public The real question isn’t “Is it perfect?” It’s “Is it good enough to get you started?” Perfect is expensive. Done is powerful. And it’ll only get better from here… Let people build. Let them experiment. Let them ship. Because version 1 > version none.

Crypto Web3 → "You own the internet!" AI VR → "You are the internet!"

AI now writes 30% of code. The question isn’t if it will replace you, It’s whether you’ll learn to command it first. Start mastering AI tools, prompting, and automation workflows. Become AI-literate or get left behind.

AI is replacing junior talent across industries. 70% of hiring managers believe AI can perform tasks traditionally assigned to freshers. If entry-level roles vanish, where will future experts come from? The collapse of traditional career ladders threatens to create a skills gap, leaving new graduates without essential on-the-job training. How do we fix this before it's too late?