PMAGILEIDEAS

Try integrating these 7 𝐫𝐞𝐟𝐢𝐧𝐞𝐝 𝐩𝐡𝐫𝐚𝐬𝐞𝐬 into your daily conversations. Small shifts in language can lead to big shifts in mindset, collaboration, and outcomes. 1. "𝐒𝐡𝐚𝐥𝐥 𝐰𝐞 𝐭𝐚𝐤𝐞 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐥𝐨𝐨𝐤 𝐚𝐭 𝐨𝐮𝐫 𝐩𝐥𝐚𝐧?" 👉 Encourages flexibility and alignment. 2. "𝐖𝐡𝐚𝐭 𝐨𝐛𝐬𝐭𝐚𝐜𝐥𝐞𝐬 𝐚𝐫𝐞 𝐰𝐞 𝐜𝐮𝐫𝐫𝐞𝐧𝐭𝐥𝐲 𝐟𝐚𝐜𝐢𝐧𝐠?" 👉 Invites openness and collaborative problem-solving. 3. "𝐖𝐡𝐚𝐭 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐝𝐨 𝐰𝐞 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐢𝐦𝐩𝐫𝐨𝐯𝐞?" 👉 Turns feedback into growth. 4. "𝐈 𝐭𝐫𝐮𝐥𝐲 𝐯𝐚𝐥𝐮𝐞 𝐭𝐡𝐞 𝐞𝐟𝐟𝐨𝐫𝐭 𝐲𝐨𝐮'𝐫𝐞 𝐩𝐮𝐭𝐭𝐢𝐧𝐠 𝐢𝐧." 👉 Acknowledgment fuels motivation. 5. "𝐖𝐡𝐚𝐭 𝐥𝐞𝐬𝐬𝐨𝐧𝐬 𝐜𝐚𝐧 𝐰𝐞 𝐭𝐚𝐤𝐞 𝐚𝐰𝐚𝐲 𝐟𝐫𝐨𝐦 𝐭𝐡𝐢𝐬?" 👉 Fosters a learning culture, not a blaming one. 6. "𝐇𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐩𝐥𝐚𝐧 𝐭𝐨 𝐭𝐚𝐜𝐤𝐥𝐞 𝐭𝐡𝐢𝐬 𝐫𝐢𝐬𝐤?" 👉 Keeps the team proactive and prepared. 7. "𝐈 𝐭𝐫𝐮𝐬𝐭 𝐲𝐨𝐮𝐫 𝐩𝐞𝐫𝐬𝐩...

I’ve found that most of the challenge comes down to how we ask. That’s where the PROMPT framework comes in! 𝗣𝗥𝗢𝗠𝗣𝗧 stands for: • 𝗣𝘂𝗿𝗽𝗼𝘀𝗲: What’s your actual goal? (Write a poem? Summarize a meeting?) • 𝗥𝗼𝗹𝗲: Who should the responder be? (Teacher, marketer, analyst…) • 𝗢𝘂𝘁𝗽𝘂𝘁: What format works best? (Bullet points, essay, checklist?) • 𝗠𝗮𝗿𝗸𝗲𝗿𝘀: Are there any must-haves or constraints? (Keep it under 200 words, include a quote.) • 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: Is there a style or template you want? (Formal report, email.) • 𝗧𝗼𝗻𝗲: What vibe are you after? (Friendly, formal, playful?) I love using this checklist before hitting “𝘀𝗲𝗻𝗱” on any request - especially when working with AI tools like ChatGPT or Microsoft CoPilot. It not only sharpens my questions but almost always gets me better, more useful results. If you want clearer communication and smoother collaboration, give 𝗣𝗥𝗢𝗠𝗣𝗧 a try. It’s simple but makes a big difference!

Ever wondered how AI tools like ChatGPT or Microsoft Copilot can answer questions like, “Where is the Statue of Liberty located?” It’s more than just searching for facts - it's a sophisticated process built on modern machine learning. Here’s a concise walkthrough of what happens behind the scenes: 𝟭. 𝗧𝗼𝗸𝗲𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻: 𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗗𝗼𝘄𝗻 𝗬𝗼𝘂𝗿 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 When you submit your question, the AI first divides your input into smaller pieces called tokens - typically words or word segments. So, “Where is the Statue of Liberty located?” becomes [“Where”, “is”, “the”, “Statue”, “of”, “Liberty”, “located”, “?”]. This helps the AI process and analyze each part of your question. 𝟮. 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀: 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 Each token is then turned into an embedding - a mathematical representation that captures its meaning and context. For example, the model recognizes that “Statue of Liberty” refers to the famous monument, not just three separat...

For years, 𝗔𝗴𝗶𝗹𝗲 has been the buzzword championed as the cure-all for sluggish processes & slow delivery. Yet, step into enough boardrooms & retro, you’ll hear a different story. Why despite best intentions & countless initiatives, most organizations simply aren’t as agile as they claim? Let’s unearth the facts - numbers - behind agile transformation struggle. 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: 𝗔𝗴𝗶𝗹𝗲 𝗯𝘆 𝗡𝗮𝗺𝗲, 𝗡𝗼𝘁 𝗯𝘆 𝗡𝗮𝘁𝘂𝗿𝗲 While nearly every company claims to be on an agile journey, few actually does. According to BCG, only about half of companies who rate themselves highly mature in agile have actually achieved their transformation goals. It’s a common disconnect - a bold vision, faced with some stubborn realities. 65% of projects using agile weren't delivered on time or budget, a staggering 96% of projects fail to achieve anticipated results. Agile software projects have been found to be 268% more likely to go wrong than those using traditional methods....