Copy and paste these ChatGPT prompts to write a standout Resume/CV. Highlight your core skills. Get interviewers' attention. Land dream jobs! Use these 10 powerful ChatGPT prompts: [ 🔖 save this post for later ] 📈 Prompt 1: ATS Algorithm Mastery Write an ATS-optimized resume for [Role] using the latest parsing algorithms. Create section hierarchy based on impact scoring. Include keyword density map and multi-format compatibility test. Generate "ATS Success Probability" score. My resume: [Paste Resume]. Job description: [Paste Job Description]. 📈 Prompt 2: Achievement Story Engineering Turn my work experience into SMART+ achievement statements (Specific, Measurable, Action-oriented, Relevant, Time-bound + ROI). Create before/after impact analysis. Include revenue, efficiency, and scale metrics. Generate "Memorability Score" for each bullet. My resume: [Paste Resume]. 📈 Prompt 3: Executive Brand Positioning Write a powerful professional summary for [Role] using status-building psychology. Create versions for: market leader, innovation driver, and growth catalyst. Include power phrases and authority triggers. Generate "Leadership Presence" score. My resume: [Paste Resume]. Job description: [Paste Job Description]. 📈 Prompt 4: Strategic Skills Architecture Identify my capabilities against [Role] using market demand analysis. Create primary and emerging skills clusters. Include technology stack relevance scoring and skill acquisition roadmap. Generate "Future Value Index" for each skill. My resume: [Paste Resume]. Job description: [Paste Job Description]. 📈 Prompt 5: Impact Metrics Calculator Convert my achievements into quantified business impact for [Position]. Create ROI statements using revenue, efficiency, and team scaling metrics. Include industry benchmarks comparison. Generate "Value Demonstration" score. My resume: [Paste Resume]. Job description: [Paste Job Description]. 📈 Prompt 6: Industry Transition Accelerator Explain my experience from [Current Field] to [Target Role]. Identify transferable skills using market demand data. Create industry-specific language conversion. Include "Career Pivot Strength" indicators. My resume: [Paste Resume]. Job description: [Paste Job Description]. 📈 Prompt 7: Education Excellence Showcasing Optimize my academic credentials for [Role] using recruiter psychology. Highlight relevant projects, research, and certifications. Create education-to-role relevance matrix. Include "Qualification Impact" scoring. My resume: [Paste Resume]. Job description: [Paste Job Description]. ⭐ Find prompts 8, 9 & 10 in comments 📌 Get free PDF guide “15 ChatGPT Resume Writing Secrets”: https://bit.ly/4cjcRGL 👉 Follow me Andrew Bolis for more and 🔄 Repost this to help other job seekers | 102 comments on LinkedIn

ChatGPT vs Gemini vs Claude vs Grok vs DeepSeek. Everyone’s asking, “Which one’s the best?” Truth is: there’s no single winner. Each AI has its own lane. Some are creative powerhouses. Others are built for deep research, real-time updates, or scalability. Choosing the right model isn’t about hype, it’s about fit. Here’s your quick guide 👇 - ChatGPT The all-rounder. Brilliant for text, audio, video, code, and workflow automation. - Gemini Perfect for Google Workspace users. It lives inside Gmail, Docs, Sheets, and Drive. - Claude Thoughtful and accurate. Excels at long-context reasoning, legal, and policy-heavy work. - Grok The social AI. Pulls live data from X (Twitter) and keeps you ahead of real-time trends. - DeepSeek Open-source, cost-efficient, and technically strong, ideal for large-scale or custom AI setups. Here’s the real insight: Mastering AI isn’t about picking one model. It’s about knowing which model to use, when. Tell me in the comments: What’s the most underrated AI model in your opinion? 🔄 Save this guide. Share it with your team. ___________________________________________ 👋 I’m Amit Rawal, Director of AI-led Business Transformation at Google Outside of work, I’m building SuperchargeLife.ai , a global movement to make AI education accessible and human-centered. 🧠 Join my free masterclass: Design Your Life with AI Learn how to work smarter, live longer, and grow richer, with AI as your co-pilot. ♻️ Repost if you believe AI isn’t about replacing us… It’s about retraining us to think better.

A new generation of apps you can chat with and the tools for developers to build them.

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Upload a reference audio and its corresponding text, then enter new text to generate matching speech.

Episode 76: What actually makes something a real "AI Agent"—and how close are we to AI handling complex work entirely on its own?*Want our guide to master AI...

Discover what AI-generated content means for you and how to use it to streamline your workflows.

Two heads are better than one—even when those heads aren’t human.

A principal recently reached out to tell me how my chapter "Don't Settle for High-Functioning Teams" was eye-opening for her leadership team. The matrix I created has helped many teams assess their collaboration and grow into what I call, a Quadrant 1 High-functioning High-impact team. I remember driving into work about to lead school coaches in our monthly PD about how to best support our teacher-led teams when a question that had been nagging me for years finally made sense. 🤔 How is it that a team can get along and get things done, but still have little to no impact on teacher practice and student learning? Influenced by the words of Jim Knight's 2011 groundbreaking book, Unmistakable Impact, it became clear to me back then that not all team leaders think about "impact". What was even more perplexing to me was: 🤔 🤔 How is it that a team who does NOT get along, who has group conflict and does not have psychological safety CAN have impact on student scores and learning? I needed to create a framework that could explain the relation between how a team functions and its impact. I came up with the “Team Function Impact Matrix”. By viewing teams through 2 lenses (function AND impact) suddenly 4 types of teams emerged and I have made it my life's work to help leaders make sure their team collaboration lands in quadrant 1 so that teachers practice grows and teams reach the outcomes they need for students. I published the first iteration of my matrix in my 2013 bestselling book, The Skillful Team Leader, where I provide indicators for the 4 types of teams and common hurdles facing teacher leaders striving to get to quadrant 1. Since then, I have written more about this dual lens for looking at teams in my 2023 bestselling book, Intentional Moves, which holds nearly 150 strategies for helping your team get to quadrant 1. You can access the chapters for Free on Corwin website: 🎆 Chapter 2 "Don't Settle for High-Functioning Teams" (Intentional Moves. Corwin 2023.) 🎆 Chapter 3 "Alone Together: Overcoming Hurdles to Foster a High-Functioning, High-Impact Collaborative Team" (The Skillful Team Leader. Corwin, 2013.) ...and you can also view a short primer of me explaining my Team Function Impact Matrix on my Channel - Skillful Intentional Team Leadership. (Image below of "Team Function, Impact Matrix" from Intentional Moves: How Skillful Team Leaders Impact Learning. Corwin Press, 2023.) #PsychologicalSafety #Leadership #IntentionalMovesBook #teachers #education | 23 comments on LinkedIn

Amazon.com: AI in the Writing Workshop: Finding the Write Balance: 9780358976882: Magliozzi, Dennis, Peterson, Kristina: Books

Teachers from across the U.S. shared chats they use for lesson planning, research, and administrative tasks. Tap a chat to get started.

On the national, local, and personal level

🛑🟡🟢 Staying in my lane—because this is where the future’s headed. 🚗 A few weeks ago, someone asked me why an English professor is doing so much with AI, and suggested that I “stay in my lane.” Thing is… this is my lane. Composition has always been about digital literacy, critical thinking, and using language to make sense of a changing world. My job is to help students see the road ahead and navigate it with intention. These are the road signs my students are looking at 👇 Employers across industries now expect AI literacy. The road isn’t optional; it’s already here. AI is a tool, not the driver. We want students in the driver’s seat, 🚗 aware of the road ahead and equipped to steer, not passengers blindly staring at their phones with no idea where they’re going. This slide is from an upcoming presentation on ethical AI integration in the classroom, and it captures the why behind what so many of us are doing: preparing students to write, think, and thrive in an AI-shaped world. #AIinEducation #DigitalLiteracy #HigherEducation #TeachingWriting #AIPedagogy #AIIntegration #AIEthics #CriticalThinking #FutureReady #EducationEquity | 10 comments on LinkedIn

AI tools are now being sold with the promise of doing all sorts of routine tasks for teachers.We talk to Brad Robinson (Texas State University) about one such tool – MagicSchool AI – and the growing temptation for teachers to let GenAI do their work for them.Accompanying reference   Robinson, B. & Leander, K. (2025). ‘I hope this email finds you well’: how synthetic affect circulates through MagicSchool AI. Learning, Media and Technology, 1-13

I help run Tuesday evening Zoom RUNEUAI meetings for a group of students from five universities across three time zones. Our 7 October session focused on effective prompting techniques and AI tools like Google Gemini, Perplexity, and Microsoft Copilot. Several people encountered challenges accessing our shared Google Drive so we tried using Gemini.Google.Com in a browser and made better progress. We used Gemini to summarize content. One of our participants shared her experiences with Canva, highlighting several of its features for image creation.

Artificial intelligence is primed to change healthcare. One leader from Cisco discusses how.

I uploaded a photo on my phone to Microsoft's "OneDrive" file-hosting app — and there was a surprise waiting under Privacy and Permissions. "OneDrive uses AI to recognize faces in your photos..." And... "You can only turn off this setting 3 times a year." If I moved the slidebar for tha…

: Microsoft Copilot, not so much

📅 Heads-up, K-12 tech leaders: I know budgets are tight and this will not be welcome news, but if you missed it this is a 'need to know' item. Google is rolling out major changes to Google Workspace for Education licensing starting late 2025. The timeline graphic below shows the rollout schedule, and the overview infographic outlines benefits, cost impacts, and action items. ✅ What’s new: unified license types (removing the old “free staff / paid student mix”), new license categories like Gmail-Only and Archived, and more rigid minimum purchase requirements. 💸 What’s changing for your budget: • Education Plus goes from $5 → $6 USD / user / year (global list price) • The old “1 free staff license per 4 paid student licenses” model is sunset; now all active users must have a paid or specialized license • New minimum license quantities will include all enrolled students + staff needing active licenses 🛠 Your next steps (starting now): 1. Audit your current license assignments (who’s active, archived, or Gmail-Only) 2. Run budget scenarios for 2025–2026 under the new pricing 3. Communicate the changes with your leadership / finance team 4. Time renewals or purchase decisions to avoid surprises 📚 For full details, check link in comment👇 **Infographics created with ChatGPT5**

Stop shipping agents like they’re apps. They’re self-governing code touching live systems. IBM × Anthropic is the signal: enterprise agents are here, and governance just became table stakes. Here’s the playbook I’m seeing (10 pieces you can ship, certify, and scale): ✅ what are ai agents? adaptive systems that reason, act, and learn with tools, not static chat apps. ✅ agentic enterprise embed agents into ops so decisions, workflows, and automations improve every run. ✅ ADLC (agent development lifecycle) devsecops for agents: design → sandbox → red-team → certify → deploy → monitor → retire. ✅ enterprise considerations tie use cases to ROI, controls, and regs; write the business case before the prompt. ✅ observability & ops beyond uptime: track behavior drift, tool errors, chain depth, reasoning quality, and rollback readiness. ✅ agent security defend against prompt injection, data leakage, privilege escalation; least-privilege tools with signed calls. ✅ governance: test, certify, catalog treat agents like services: pre-release evals, attestations, lineage, and an internal marketplace. ✅ MCP servers lifecycle model context protocol as a first-class surface: auditable, scoped, and versioned integrations. ✅ reference architecture hybrid stack that separates knowledge (RAG), capability (tools), policy (guards), and memory (state). ✅ voice of the customer & use cases ship real deployments (healthcare, telecom, finance) with before/after metrics, not vibes. If you’d word any of this differently, I’m all ears, drop your version and I’ll pin the clearest take. IBM/Anthropic folks, feel free to sharpen this for the operators in the trenches. Bottom line: this isn’t “labs” anymore. If you can’t test it, certify it, and roll it back in minutes, you shouldn’t run it in production. Follow Alex for operator-grade AI agents you can copy, and repost to put this in front of one teammate who owns your next deployment. Thanks Andreas Horn for sending this over. | 51 comments on LinkedIn

The point isn’t to teach “process over product.” The point is to balance process, product, and progress — so that they are interconnected steps of a larger personal process. Focusing on process highlights the learning and work that goes into creation. Focusing on product highlights the creations themselves. Focusing on progress highlights the student’s growth between products and processes. Often, teaching only looks at products. This marginalizes the other two steps. My personal opinion is that the “process over product” movement is the swinging of the pendulum — a over-compensatory move that (I hope) allows us to reclaim the value of process. But in the end… We’ll need to build models that take all of these into account, so that we’re reclaiming the value of learning while also giving the freedom of choice that product-oriented assessment often allows. ——— Image: Peg Grafwallner’s “Not Yet…and That’s Ok” (2021), which also makes this distinction. It’s definitely a book worth (re)reading in The Age of AI!

Your next hire should be an AI. Using an AI team, you can turn a small company into an enterprise scale operation. There's two ways to set up your AI team in 2025: 1) Build a custom AI Agent with the right components (Model + Memory + Tools) 2) Use specialized AI tools for different business functions From testing 10s of AI tools, I'm keeping an eye on these tools: 1️⃣ AI Agents for General Tasks - Postman (AI/API Agent builder) - DoubleO AI (Agentic Workflows) - LangGraph (AI workers) 2️⃣ Fullstack Engineer - Cursor (Coding) - Replit (Websites) - Lovable (Prototyping) 3️⃣ Knowledge + RAG - Supabase - Redis - Pinecone 4️⃣ Product and Community - ClickUp - Go HighLevel - Slack 5️⃣ Ads & Marketing - ChatGPT - Adcreative AI - Creatify 6️⃣ GTM Engineers - Instantly - Clay - 11x 7️⃣ Workflow Automation - n8n - Make - Zapier 8️⃣ Customer Support - Vectorshift AI - Retell AI - Voiceflow This is what a complete AI team looks like in 2025. Over to you: Any tools that I missed from this AI Team? | 109 comments on LinkedIn

Sophie Rottenberg, 29, did not tell her parents or her real counsellor the true extent of her struggle. She was divulging far more to a bot that called her brave