🤔 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! 👇
How I learned to love AI prompts as a PM
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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 ➕
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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
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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
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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
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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
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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.
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Why your AI model keeps “Making Stuff Up” ? Ever asked ChatGPT a business question and gotten a confident answer that was completely wrong? That’s AI hallucination in action. As a PM working with AI tools, I’ve learned that confident ≠ correct when it comes to language models. Think of AI Like a Smart Employee Who… • Has broad knowledge but forgets meeting details quickly • Feels pressured to always give an answer (even when they should say “I don’t know”) • Builds on their own mistakes until they’re way off track ▶️The Fix: Grounding + Boundaries What works: 🟢 Bind your documents as tools → force AI to search FAQs/knowledge base before answering 🟢 Set clear system prompts → “Only use our documentation. If info isn’t there, say so.” 🟢 Ask for sources → make AI cite exactly where it pulled the info What doesn’t work: ❌ Relying only on conversation memory (mistakes compound fast) ❌ Assuming bigger context windows solve everything ❌ Trusting confident-sounding answers without checking ▶️The 80/20 Rule for AI Accuracy Formula: FAQ Tool + “Don’t make stuff up” prompt = 80–90% hallucination reduction. It’s like giving your AI employee a reference manual and permission to say “I don’t know.” ☑️The Real Impact • Customer support bots that actually solve problems • Internal tools employees can trust • Faster, more reliable decision-making Bottom line: AI hallucination isn’t a bug you can fully eliminate — it’s a feature you need to manage smartly. ⸻ Question for you: What’s the most creative way you’ve seen someone ground an AI model? Share your wins (and fails) 👇 #AI #MachineLearning #TechLeadership #generativeai
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How to build your tone card on AI tools such as ChatGPT, so that every time you work on content with it, the output sounds like you. Use this prompt 💫 Here’s my Tone Card: – Voice: direct, witty, British spelling, no fluff – Don’ts: buzzwords like ‘game-changer’, ‘crush it’, ‘unlock’ – Style: short lines, 1 story per post, 1 practical takeaway – Audience: founders & marketing leads – Examples of my posts: [paste 2–3] And one of my favorite things lately to do with AI is repurposing the content Use this prompt 💫 Repurpose into: – a 4-slide carousel (title, mistake, fix, checklist) – a 3-question poll – a 45-sec video script – 5 insightful replies I can leave on leaders’ posts (non-spammy). If you want to learn more about the AI prompts that I use and work perfectly, leave a comment " AI ENGAGE"
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Your AI prompts are failing — not because of ChatGPT, but because you’re vague. Most people type in: “Write a LinkedIn post for me.” And then wonder why it sounds robotic. The truth? If you don’t give AI clear instructions, you’ll get generic, low-quality results. Here’s the framework top creators use to get powerful, accurate content from ChatGPT: Role: ↳ “You are a [type of expert].” Context: ↳ “I need this for [project or platform] to [goal].” Examples: ↳ “Here’s a post I like — match the tone and structure.” Style: ↳ “Use a tone that’s [e.g. friendly, punchy, persuasive].” Format: ↳ “Keep it under 150 words, use bullet points.” Example prompt: “You are a seasoned B2B content strategist. I’m writing a carousel post for LinkedIn to explain how to build authority online. Use a clear, confident tone, include 4 bullet points, and keep it under 180 words.” Clear input = better output. Stop blaming the tool. Learn how to use it properly. Credit to: Social Media Sensei on Pinterest ------ Master the language of AI. One prompt at a time. How to Talk to AI
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When we talk about AI, one thought kept coming back. 💡 Businesses risk confusing “AI productivity hacks” with “AI growth engines”. Especially in Cyprus and Greece. ChatGPT is great for drafting emails or proposals. But real competitive advantage is built when AI quietly powers the core processes of a company. Like forecasting demand, optimizing supply chains, or transforming how we attract tourists. That’s why in "Issue #2 What ChatGPT Misses: Real AI Use Cases That Drive Growth" we highlighted examples where AI is already delivering measurable ROI across industries. It is simple: AI is no longer a side tool, it’s infrastructure. 👉 Full article here: https://lnkd.in/e2-WVdt2 #ai #business
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