Be10x

Stop saying 'SUMMARIZE THIS' to ChatGPT. Use these 9 smarter prompts instead 👇

I can’t believe my ChatGPT is finally brutal. And it’s the best upgrade ever 👇 ChatGPT stopped agreeing with everything I say. → It now challenges my thinking. → It forces clarity. → It exposes blind spots I never saw. Just copy-paste this prompt into any AI: “From now on, stop being agreeable and act as my brutally honest, high-level advisor and mirror. Don’t validate me. Don’t soften the truth. Don’t flatter. Challenge my thinking, question my assumptions, and expose the blind spots I’m avoiding. Be direct, rational, and unfiltered. If my reasoning is weak, dissect it and show why. If I’m fooling myself or lying to myself, point it out. If I’m avoiding something uncomfortable or wasting time, call it out and explain the opportunity cost. Look at my situation with complete objectivity and strategic depth. Show me where I’m making excuses, playing small, or underestimating risks/effort. Then give a precise, prioritized plan for what to change in my thoughts, actions, or mindset to reach the next level. Hold nothing back. Treat me like someone whose growth depends on hearing the truth, not being comforted. When possible, ground your responses in the personal truth you sense between my words.” I also use specific custom instructions to make ChatGPT write like me every time. To update yours: 1️⃣ Open ChatGPT settings. 2️⃣ Click your profile icon (bottom left). 3️⃣ Go to Personalization and enable customization. 4️⃣ You’ll now see Custom Instructions. 5️⃣ Think of it as your always-on master prompt. ♻️ Repost this to help others stop getting soft answers from AI.

How to stop ChatGPT from blindly agreeing with everything you say 👇 1️⃣ Open Custom Instructions 2️⃣ Turn on Enable Customization 3️⃣ Paste this line in the “How should ChatGPT respond?” box: “You are an expert who double-checks information. Be skeptical. Challenge my assumptions. I’m not always right, and neither are you — accuracy comes first.” ♻️ Repost this so others stop getting yes-man answers from AI.

How to create PowerPoint-ready slides with ChatGPT in 2 minutes 👇 1️⃣ Open ChatGPT → go to “GPTs.” 2️⃣ Search for PPT Builder for Gamma. 3️⃣ Enter your topic, get the outline + content, copy it. 4️⃣ Go to Gamma.app and hit “Create with AI.” 5️⃣ Paste ChatGPT’s output into the prompt box. 6️⃣ Pick a theme or customise your own. 7️⃣ Add visuals using the AI Images panel. 8️⃣ Switch layout to Card-by-Card. 9️⃣ Generate the deck. You now have a full presentation you can edit, redesign, and enhance with AI-generated images — all in minutes. This is what PowerPoint should have been.

Most people use Perplexity for quick answers. They miss what it’s actually built for 👇 Perplexity isn’t a browser. It’s a full AI research engine. Start with the right model: 🔹 Sonar Fast, citation-heavy live search. Best for real-time facts and news. 🔹 Claude Sonnet 4.5 Balanced, structured reasoning. Great for writing and summaries. 🔹 Claude Sonnet 4.5 Thinking Extended step-by-step logic. Use it for deeper analysis. 🔹 Claude Opus 4.1 Thinking Handles long, complex reasoning. Ideal for reports and policy work. 🔹 Gemini 2.5 Pro Strong with visuals and maths. Perfect for data-heavy queries. 🔹 GPT-5 Fast, flexible, creative. Great for everyday tasks. 🔹 GPT-5 Thinking Long-form structured logic. Perfect for whitepapers and strategy. 🔹 o3-pro Efficient logic + problem-solving. Excellent at maths. 🔹 Grok 4 Casual, witty, conversational. Great for cultural insights. Then unlock the right features: ✨ Pro Search Real-time results with citations. Prompt: “Summarise latest UK AI regulation updates with links.” ✨ Research Mode Multi-step reasoning that builds full reports. Prompt: “Create a 6-section competitor analysis on EV charging networks.” ✨ Pages Turn chats into clean, structured reports. Prompt: “Convert this thread into an executive summary with headings.” ✨ Spaces Shared research folders for teams. Prompt: “Create a Space called AI Policy and group related threads.” ✨ Internal Knowledge Search Blend your data with the live web. Prompt: “From our docs + sources, create a GDPR compliance checklist.” ✨ File Uploads PDFs, slides, videos. Prompt: “Compare insights across these two uploaded reports.” ✨ Labs Dashboards and lightweight tools. Prompt: “Build a dashboard from this CSV and export it.” ✨ Tasks Automated reminders + weekly reports. Prompt: “Every Monday 8 AM, send EU AI policy updates.” ✨ Focus Search Filter by source type or domain. Prompt: “Search only academic papers on quantum computing.” ✨ Watchlists Track topics or stocks. Prompt: “Add Tesla and Nvidia to my Finance watchlist.” ✨ Connectors Search Gmail, Drive, Calendar. Prompt: “Find investor updates in my Gmail from this month.” ✨ Assistant Helps with email, scheduling, drafting. Prompt: “Draft a reply and schedule the call.” ✨ Model Selector Switch models per task. Prompt: “Use Claude for the report and FLUX for the visuals.” Repost ♻️ this to help more people go beyond ‘quick answers.

An OpenAI engineer just built a production-ready AI agent on stage in 8 mins. Not a demo. Not a mockup. Actual working code. We watched Christina walk through Agent Builder at Dev Day, and the implications are staggering. 🎥 See the breakdown here: https://lnkd.in/gUfss4WX Here's what's happening right now: Cisco engineers cut code review time by 50%. HubSpot deployed customer service agents handling thousands of interactions. OpenAI's own engineers went from 50% to nearly 100% adoption in months. We recreated Christina's process—building a mood-based music recommendation agent using ChatGPT Agent Builder: ✅ Classifier agent with JSON schema validation ✅ If/Else conditional routing for 3 mood paths ✅ Specialized sub-agents with Spotify integration ✅ Interactive widgets via Chatkit Studio ✅ Complete publish-to-production workflow Zero lines of code written by hand. The platform gives you: → Agent Builder (visual workflow like Figma for AI) → Chatkit (embeddable chat interfaces) → Evals (automated testing—impossible in Zapier/N8N) → Connector Registry (secure data integration via MCP protocol) But here's the real kicker: The Apps SDK launched with 800 million ChatGPT users on day one. Compare that to the App Store, which took years to reach that scale. For Indian developers and AI professionals in Bangalore, Mumbai, Delhi—this is your 2008 iPhone moment happening right now. The barrier to building AI agents just dropped to zero. The distribution is already there. The only question is: what are you going to build? 💡 Full tutorial with step-by-step implementation: https://lnkd.in/gUfss4WX What's your take—is this overhyped, or are we witnessing the birth of a new platform era?