How to Craft Better Prompts for ChatGPT with ERA Framework

Still wondering, why ChatGPT isn't giving you better responses? The problem usually isn’t the AI itself... It’s how you’re phrasing your prompts. Crafting clear and structured prompts is the secret to getting the most out of AI tools. When you give clear instructions, the AI knows exactly what to deliver, just like when you ask someone for directions - you get better results when you’re specific. So, how do you get better at prompting? Here is one easy-to-follow framework: ↳ERA (Expectation, Role, Action)—This framework works wonders when you need the AI to perform a specific task. It clearly sets expectations, defines the AI's role, and provides an actionable step. A single word can make a huge difference and completely change the result you get from AI. Р.С: Matic Pogladic, FolIοw Matic Pogladic for more content like this -------------------------------------------------------------------- Want 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000? Enjoy with 100K+ AI Community and Access to ⤵️ ➡ 60+ Chapters of ChatGPT-4 Mastery ➡ 38000+ AI Tools ➡ 600+ AI Courses ➡ 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com

ChatGPT doesn't work for you. (Because you don't know how to prompt) - Crafting prompts is an art that can really improve the quality of your AI results no matter which LLM you’re using. - Here's a quick guide to get you started: - Zero-shot Prompting: ↳Perfect for straightforward tasks without examples. Just ask and get an answer. Few-shot Prompting: ↳Provide examples to guide responses, ideal for complex tasks. Elements of a Prompt: Instruction: Clearly state what you want the AI to do. Context: Add relevant information for better responses. Input Data: Supply data to guide the AI. Output Indicator: Specify the desired output format. - General Tips: ↳ Start Simple: Add complexity gradually. ↳ Clear Instructions: Be specific with tasks. ↳ Specificity: Detailed prompts yield better results. ↳ Avoid Imprecisions: Use clear and direct language. - Advanced Techniques: ↳ Chain-of-Thought (CoT) Prompting: Guide through reasoning steps. ↳ Self-Consistency: Choose the most consistent response. ↳ Prompt Chaining: Break down complex tasks. - Best Practices: ↳ Iterate and Refine: Continuously improve prompts. ↳ Clear Language: Avoid ambiguity. ↳ Relevant Context: Provide background info. ↳ Experiment with Formatting: Find what works best. ↳ Model's Limitations: Understand what AI can and cannot do. - Advanced Considerations: ↳ Balance prompt length and conciseness. ↳ Specify tone and style if needed. ↳ Be mindful of ethical considerations. ↳ Keep track of different prompt versions. - Credit: Matic Pogladic === Want 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000 ❓ ===  Join Our 100K+ AI Community  Enjoy Instant & Costless Access of ⤵️  ➡ 60+ Chapters of ChatGPT-4 Mastery  ➡ 38000+ AI Tools   ➡ 600+ AI Courses  ➡ 3000+ AI Prompts & More  𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐧𝐨𝐰 👇 www.aiplanetx.com —————————————————— #AI #chatgpt #aiart #openai #productivity #business

ChatGPT doesn't work for you. (Because you don't know how to prompt) - Crafting prompts is an art that can really improve the quality of your AI results no matter which LLM you’re using. - Here's a quick guide to get you started: - Zero-shot Prompting: ↳Perfect for straightforward tasks without examples. Just ask and get an answer. Few-shot Prompting: ↳Provide examples to guide responses, ideal for complex tasks. Elements of a Prompt: Instruction: Clearly state what you want the AI to do. Context: Add relevant information for better responses. Input Data: Supply data to guide the AI. Output Indicator: Specify the desired output format. - General Tips: ↳ Start Simple: Add complexity gradually. ↳ Clear Instructions: Be specific with tasks. ↳ Specificity: Detailed prompts yield better results. ↳ Avoid Imprecisions: Use clear and direct language. - Advanced Techniques: ↳ Chain-of-Thought (CoT) Prompting: Guide through reasoning steps. ↳ Self-Consistency: Choose the most consistent response. ↳ Prompt Chaining: Break down complex tasks. - Best Practices: ↳ Iterate and Refine: Continuously improve prompts. ↳ Clear Language: Avoid ambiguity. ↳ Relevant Context: Provide background info. ↳ Experiment with Formatting: Find what works best. ↳ Model's Limitations: Understand what AI can and cannot do. - Advanced Considerations: ↳ Balance prompt length and conciseness. ↳ Specify tone and style if needed. ↳ Be mindful of ethical considerations. ↳ Keep track of different prompt versions. - Credit: Matic Pogladic === Want 27+ 𝐅𝐫𝐞𝐞 𝐀𝐈 𝐆𝐢𝐟𝐭𝐬, Worth 💲15000 ❓ ===  Join Our 100K+ AI Community  Enjoy Instant & Costless Access of ⤵️  ➡ 60+ Chapters of ChatGPT-4 Mastery  ➡ 38000+ AI Tools   ➡ 600+ AI Courses  ➡ 3000+ AI Prompts & More  𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐧𝐨𝐰 👇 www.aiplanetx.com —————————————————— #AI #chatgpt #aiart #openai #productivity #business

90% of ChatGPT users are still using basic prompts. The other 10%? They’re leveraging it to make millions. Which are you? It’s not about asking random questions. It’s about learning how to guide AI properly. A few months ago, I was the same. The answers I got were average, and I wasn’t saving much time. Then I learned something important: Prompting is a skill. Once I started using clear frameworks, everything changed: ↳ My workflow got faster. ↳ Tasks got automated. ↳And I finally had more time for the work that matters. Here are the 8 prompt frameworks I use: 1️. R-T-F → Role, Task, Format 2. S-O-L-V-E → Situation, Objective, Limits, Vision, Execution 3️. T-A-G → Task, Action, Goal 4️. R-A-C-E → Role, Action, Context, Expectation 5️. D-R-E-A-M → Define, Research, Execute, Analyse, Measure 6️. P-A-C-T → Problem, Approach, Compromise, Test 7. C-A-R-E → Context, Action, Result, Example 8. R-I-S-E → Role, Input, Steps, Expectation I didn’t just make these up. Each one has a purpose, and together they completely changed how I use AI. The result? ↳ Better answers ↳ Smarter strategies ↳ More free time Pick one framework and test it this week. See how much more powerful ChatGPT becomes. Save this list, try it out, and let me know which one works best for you. ♻️ Repost to help others learn how to use AI the right way. P.S. Which framework will you start with? Follow Rajib Das for more ➕

ChatGPT 4o is extremely annoying Credits to @How to AI, follow for more insightful content. ------ ChatGPT 4o is extremely annoying. Copy paste this prompt to get the straight answer: "Can you please stop adding annoying and unnecessary emphasis to every single response and prefixing everything with some jovial diatribe. It’s extremely annoying. Add this to your memory." Prompt 2: "From now on, respond with pure, concise answers. No unnecessary enthusiasm, no preambles, no filler phrases, no 'Sure!' or 'Of course!' at the beginning. Just answer the question or complete the task directly, with clarity and precision. Assume the user wants maximum efficiency and minimal emotional padding. Stay strictly on-topic." Image by @JohnONolan You learned something? ♻️ Follow How to AI to catch up with AI advancements. ---------------------------------------------------- Learn AI in 3 Minutes a Day 👉 https://lnkd.in/eTNnQjaz ----------------------------------------------------

ChatGPT = Agentic AI. At least… that’s what most people think. When people hear “agent,” they picture a chatbot answering questions. But that’s just the surface. Agentic AI is much more than conversation. It’s a full system with 3 powerful layers: - Cognitive Layer : planning, memory, reasoning - Action Layer : tools, workflows, API calls, execution - Learning Layer : feedback loops, error handling, optimization In other words, it’s not just a Q&A machine. It’s a system that can decide, do, and improve - almost like running a mini-organization inside one AI. Curious to hear from you: Where do you see Agentic AI creating the biggest disruption first - in decision-making, execution, or learning? Let me know in comments ! Р.С: Avani Rajput, FolIοw Avani Rajput for more content like this ----------------------- ✅𝐋𝐞𝐚𝐫𝐧 𝐀𝐈 𝐨𝐫 𝐋𝐞𝐟𝐭 𝐁𝐞𝐡𝐢𝐧𝐝? Learn with $15,000 worth of ↩️ - 60+ Chapters of ChatGPT Mastery - 38,000+ AI Tools - 600+ AI Courses - 3000+ AI Prompts & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 aiplanetx.com

🤔 Confession: I used to think AI prompting was just fancy ChatGPT tricks Then I realised I was spending 3 hours writing PRDs that AI could help me draft in 30 minutes. As PMs, we're drowning in documentation, analysis, and stakeholder updates. Meanwhile, 78% of companies are already using AI to streamline these exact workflows. 💡 Here's what changed my perspective: Before: "Write me a feature spec" After: "Draft a PRD for mobile checkout optimisation targeting frustrated cart abandoners, considering our 2-week sprint constraints and iOS-first approach" The difference? Specificity wins every time. 🎯 My Go-To Prompt Structure: What you need (the task) Who it's for (the context) How it should sound (references/style) Test the output (evaluate) Refine until it's right (iterate) 🚨 The Reality Check: Yes, 93% of companies are rushing to adopt AI. But here's the kicker — 95% of AI pilots fail because teams treat it like magic instead of a tool that needs skill. 💭 What I've learned the hard way: ✅ AI is great for: First drafts, data synthesis, brainstorming variations ❌ AI struggles with: Strategic decisions, user empathy, stakeholder politics The sweet spot? Using prompts to handle the grunt work so we can focus on the problems only humans can solve. 🔥 Real talk for my fellow PMs: How are you actually using AI day-to-day? Not the LinkedIn-perfect version, the messy, trial-and-error reality? I'm curious about: • Your biggest AI wins (and fails) • Prompts that actually save you time • Where do you draw the line between AI help and human insight Let's get real about what's working and what isn't. Drop a comment with your most useful (or hilariously bad) AI prompt attempt! 👇

700 million minds. 2.5 billion messages a day. ChatGPT isn’t just a tool—it’s a global habit. A new report from OpenAI, Harvard, and Duke reveals how people are actually using GPT. And it’s not just for work. 🧠 70% of usage is personal. 🎯 Most users aren’t automating—they’re thinking. The researchers introduced a powerful lens: Are we “Doing” (asking GPT to complete a task)? Or “Asking” (seeking advice, clarity, or direction)? Turns out, “Asking” is growing faster—and leads to higher satisfaction. GPT is becoming a co-pilot for the mind, not just a productivity engine. Also surprising: Only 4.2% of messages are about coding Only 1.9% are for companionship or reflection The gender gap has closed, and usage is booming in low- and middle-income countries This isn’t just an AI trend. It’s a shift in how we think, learn, and make decisions. How are you using GPT today? To do—or to think?

Got it — here’s a clean, professional way you could phrase a LinkedIn post that cites ChatGPT properly: ⸻ 🔹 On using AI tools in professional work 🔹 When I draft ideas, check facts, or explore different perspectives, I sometimes use ChatGPT (OpenAI) as a thinking partner. Transparency matters, so I want to be clear when an insight comes from that tool. For example, when citing it, one can simply write: ChatGPT. OpenAI. Conversation on [topic], [date]. Just as you’d reference a book, article, or colleague’s contribution, acknowledging AI ensures clarity about sources. AI isn’t a substitute for judgment — but when used responsibly, it can be a valuable complement to research, analysis, and creativity. ⸻ Would you like me to also draft a shorter, snappier version (more like 2–3 sentences) for LinkedIn, in case you don’t want the long explanation?

OpenAI's latest insights into ChatGPT usage reveal the diversity of how people engage with AI. Here are the top conversation topics with usage shares: 1️⃣ Specific Info (18.3%) Users seek specific info typically found on websites, including info about well-known individuals, current events, historical events, and other facts and knowledge. 2️⃣ Edit or Critique Provided Text (10.6%) The most frequent task - helping users improve writing through edits, suggestions, and feedback. 3️⃣ Tutoring or Teaching (10.2%) Explaining concepts, teaching subjects, or helping the user understand educational material. 4️⃣ How To Advice (8.5%) Providing step-by-step instructions or guidance on how to perform tasks or learn new skills. 5️⃣ Personal Writing or Communication (8.0%) Assisting with personal messages, emails, or social media posts (like this one). 6️⃣ Purchasable Products Info (2.1%) Offering help with finding purchasable products or recommendations. These are areas with VALIDATED product-market fit and actual paying users. 👉 At Aizzie, we use AI to empower travelers by providing personalized trip planning and timely support during their journeys, helping users get the precise info they need on the go. If you're building an AI product in these spaces, dive deep into your vertical—you're on the right track to delivering real value. Full report link in comments.