Top Productivity Content from LinkedIn Members

AI Architect | Strategist | Generative AI | Agentic AI

680,025 followers 6mo

Not all AI agents are created equal â€” and the framework you choose shapes your system's intelligence, adaptability, and real-world value. As we transition from monolithic LLM apps to ð—ºð˜‚ð—¹ð˜ð—¶-ð—®ð—´ð—²ð—»ð˜ ð˜€ð˜†ð˜€ð˜ð—²ð—ºð˜€, developers and organizations are seeking frameworks that can support ð˜€ð˜ð—®ð˜ð—²ð—³ð˜‚ð—¹ ð—¿ð—²ð—®ð˜€ð—¼ð—»ð—¶ð—»ð—´, ð—°ð—¼ð—¹ð—¹ð—®ð—¯ð—¼ð—¿ð—®ð˜ð—¶ð˜ƒð—² ð—±ð—²ð—°ð—¶ð˜€ð—¶ð—¼ð—»-ð—ºð—®ð—¸ð—¶ð—»ð—´, and ð—®ð˜‚ð˜ð—¼ð—»ð—¼ð—ºð—¼ð˜‚ð˜€ ð˜ð—®ð˜€ð—¸ ð—²ð˜…ð—²ð—°ð˜‚ð˜ð—¶ð—¼ð—». I created this ð—”ð—œ ð—”ð—´ð—²ð—»ð˜ð˜€ ð—™ð—¿ð—®ð—ºð—²ð˜„ð—¼ð—¿ð—¸ ð—–ð—¼ð—ºð—½ð—®ð—¿ð—¶ð˜€ð—¼ð—» to help you navigate the rapidly growing ecosystem. It outlines the ð—³ð—²ð—®ð˜ð˜‚ð—¿ð—²ð˜€, ð˜€ð˜ð—¿ð—²ð—»ð—´ð˜ð—µð˜€, ð—®ð—»ð—± ð—¶ð—±ð—²ð—®ð—¹ ð˜‚ð˜€ð—² ð—°ð—®ð˜€ð—²ð˜€ of the leading platforms â€” including LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI, and more. Hereâ€™s what stood out during my analysis: â†³ ð—Ÿð—®ð—»ð—´ð—šð—¿ð—®ð—½ð—µ is emerging as the go-to for ð˜€ð˜ð—®ð˜ð—²ð—³ð˜‚ð—¹, ð—ºð˜‚ð—¹ð˜ð—¶-ð—®ð—´ð—²ð—»ð˜ ð—¼ð—¿ð—°ð—µð—²ð˜€ð˜ð—¿ð—®ð˜ð—¶ð—¼ð—» â€” perfect for self-improving, traceable AI pipelines.Â â†³ ð—–ð—¿ð—²ð˜„ð—”ð—œ stands out for ð˜ð—²ð—®ð—º-ð—¯ð—®ð˜€ð—²ð—± ð—®ð—´ð—²ð—»ð˜ ð—°ð—¼ð—¹ð—¹ð—®ð—¯ð—¼ð—¿ð—®ð˜ð—¶ð—¼ð—», useful in project management, healthcare, and creative strategy.Â â†³ ð— ð—¶ð—°ð—¿ð—¼ð˜€ð—¼ð—³ð˜ ð—¦ð—²ð—ºð—®ð—»ð˜ð—¶ð—° ð—žð—²ð—¿ð—»ð—²ð—¹ quietly brings ð—²ð—»ð˜ð—²ð—¿ð—½ð—¿ð—¶ð˜€ð—²-ð—´ð—¿ð—®ð—±ð—² ð˜€ð—²ð—°ð˜‚ð—¿ð—¶ð˜ð˜† ð—®ð—»ð—± ð—°ð—¼ð—ºð—½ð—¹ð—¶ð—®ð—»ð—°ð—² to the agent conversation â€” a key need for regulated industries. Â Â â†³ ð—”ð˜‚ð˜ð—¼ð—šð—²ð—» simplifies the build-out of ð—°ð—¼ð—»ð˜ƒð—²ð—¿ð˜€ð—®ð˜ð—¶ð—¼ð—»ð—®ð—¹ ð—®ð—´ð—²ð—»ð˜ð˜€ ð—®ð—»ð—± ð—±ð—²ð—°ð—¶ð˜€ð—¶ð—¼ð—»-ð—ºð—®ð—¸ð—²ð—¿ð˜€ through robust context handling and custom roles.Â â†³ ð—¦ð—ºð—¼ð—¹ð—”ð—´ð—²ð—»ð˜ð˜€ is refreshingly light â€” ideal for ð—¿ð—®ð—½ð—¶ð—± ð—½ð—¿ð—¼ð˜ð—¼ð˜ð˜†ð—½ð—¶ð—»ð—´ ð—®ð—»ð—± ð˜€ð—ºð—®ð—¹ð—¹-ð—³ð—¼ð—¼ð˜ð—½ð—¿ð—¶ð—»ð˜ ð—±ð—²ð—½ð—¹ð—¼ð˜†ð—ºð—²ð—»ð˜ð˜€.Â â†³ ð—”ð˜‚ð˜ð—¼ð—šð—£ð—§ continues to shine as a sandbox for ð—´ð—¼ð—®ð—¹-ð—±ð—¿ð—¶ð˜ƒð—²ð—» ð—®ð˜‚ð˜ð—¼ð—»ð—¼ð—ºð˜† and open experimentation. ð—–ð—µð—¼ð—¼ð˜€ð—¶ð—»ð—´ ð˜ð—µð—² ð—¿ð—¶ð—´ð—µð˜ ð—³ð—¿ð—®ð—ºð—²ð˜„ð—¼ð—¿ð—¸ ð—¶ð˜€ð—»â€™ð˜ ð—®ð—¯ð—¼ð˜‚ð˜ ð—µð˜†ð—½ð—² â€” ð—¶ð˜â€™ð˜€ ð—®ð—¯ð—¼ð˜‚ð˜ ð—®ð—¹ð—¶ð—´ð—»ð—ºð—²ð—»ð˜ ð˜„ð—¶ð˜ð—µ ð˜†ð—¼ð˜‚ð—¿ ð—´ð—¼ð—®ð—¹ð˜€: - Are you building enterprise software with strict compliance needs?Â Â - Do you need agents to collaborate like cross-functional teams?Â Â - Are you optimizing for memory, modularity, or speed to market? This visual guide is built to help you and your team ð—°ð—µð—¼ð—¼ð˜€ð—² ð˜„ð—¶ð˜ð—µ ð—°ð—¹ð—®ð—¿ð—¶ð˜ð˜†. Curious what you're building â€” and which framework you're betting on?

83 Comments

Jean Kang

Helping you land a 6-figure Program Manager job you love | Ex-Big Tech PM â†’ Founder & Creator (375K+) | Solopreneur sharing insights on Careers, AI, & Project Management

253,295 followers 2mo

Hereâ€™s what I wish someone told me earlier: You donâ€™t have to earn rest. I used to grind through 60+ hour weeks thinking it would all be â€œworth it.â€ But no hustling is worth your mental, physical, & emotional health. Hereâ€™s what slowing down has taught me: â†³ If you donâ€™t step off the hedonic treadmill, no one will do it for you â†³ Your best ideas rarely come when youâ€™re exhausted â†³ Rest actually drives productivity The hustle culture is overrated. And if you actually want to thrive, you canâ€™t be running on empty so try this: â†³ Close the laptop after 5 â†³ Go for the walk during lunch â†³ So take the break every 2-3 hours â†³ Set your phone to DND after 8 pm - 10 am Your future self will thank you. Everything needs to pause at some point (yes, including you) ðŸ™ðŸ¼

321 Comments

Peter Slattery, PhD

Lead at the MIT AI Risk Repository | MIT FutureTech

62,280 followers 1mo

"Despite $30â€“40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return. The outcomes are so starkly divided across both buyers (enterprises, mid-market, SMBs) and builders (startups, vendors, consultancies) that we call it the GenAI Divide. Just 5% of integrated AI pilots are extracting millions in value, while the vast majority remain stuck with no measurable P&L impact. This divide does not seem to be driven by model quality or regulation, but seems to be determined by approach. Tools like ChatGPT and Copilot are widely adopted. Over 80 percent of organizations have explored or piloted them, and nearly 40 percent report deployment. But these tools primarily enhance individual productivity, not P&L performance. Meanwhile, enterprise grade systems, custom or vendor-sold, are being quietly rejected. Sixty percent of organizations evaluated such tools, but only 20 percent reached pilot stage and just 5 percent reached production. Most fail due to brittle workflows, lack of contextual learning, and misalignment with day-to-day operations. From our interviews, surveys, and analysis of 300 public implementations, four patterns emerged that define the GenAI Divide: â€¢ Limited disruption: Only 2 of 8 major sectors show meaningful structural change â€¢ Enterprise paradox: Big firms lead in pilot volume but lag in scale-up â€¢ Investment bias: Budgets favor visible, top-line functions over high-ROI back office â€¢ Implementation advantage: External partnerships see twice the success rate of internal builds The core barrier to scaling is not infrastructure, regulation, or talent. It is learning. Most GenAI systems do not retain feedback, adapt to context, or improve over time."

18 Comments

Dr. David Burkus

Build Your Best Team Ever | Top 50 Keynote Speaker | Bestselling Author | Organizational Psychologist

28,228 followers 6mo

When I spoke at the Naval Academy, they introduced me to a concept called "Commanderâ€™s Intent." Itâ€™s a military concept. But most leaders donâ€™t realize their teams desperately need it. Hereâ€™s how it works: Before every mission, the commanding officer lays out one thing clearlyâ€” this is what success looks like. No endless strategy decks.Â No overcomplicated objectives.Â Just a clear outcome everyone can rally around. JFK gave one of the best examples in 1961:Â "We will put a man on the moon and bring him safely home." That was it. No roadmap. No play-by-play instructions. Just a single, undeniable goal. And yet, that clarity was enough. It aligned an entire nation,Â Mobilized thousands of people,Â And drove one of the most ambitious missions in history. Thatâ€™s Commanderâ€™s Intent in action. And itâ€™s exactly what most teams are missing. When teams are divided, leaders assume itâ€™s about personality clashes, office politics, or competing priorities. But more often than not? Itâ€™s just a lack of clarity. Without a clear definition of success, people start fighting over their own agendas. They argue over who's right instead of focusing on "whatâ€™s right." High-performing teams donâ€™t have time for that.Â They know exactly where theyâ€™re going. So if your team feels divided, donâ€™t play referee.Â Set the mission. Make the goal crystal clear. Because teams donâ€™t fall apart from too many opinions.Â They fall apart when no one knows what "done" looks like.

119 Comments

Aishwarya Srinivasan

584,354 followers 4mo

If you are an AI engineer, thinking how to choose the right foundational model, this one is for you ðŸ‘‡ Whether youâ€™re building an internal AI assistant, a document summarization tool, or real-time analytics workflows, the model you pick will shape performance, cost, governance, and trust. Hereâ€™s a distilled framework thatâ€™s been helping me and many teams navigate this: 1. Start with your use case, then work backwards. Craft your ideal prompt + answer combo first. Reverse-engineer what knowledge and behavior is needed. Ask: â†’ What are the real prompts my team will use? â†’ Are these retrieval-heavy, multilingual, highly specific, or fast-response tasks? â†’ Can I break down the use case into reusable prompt patterns? 2. Right-size the model. Bigger isnâ€™t always better. A 70B parameter model may sound tempting, but an 8B specialized one could deliver comparable output, faster and cheaper, when paired with: â†’ Prompt tuning â†’ RAG (Retrieval-Augmented Generation) â†’ Instruction tuning via InstructLab Try the best first, but always test if a smaller one can be tuned to reach the same quality. 3. Evaluate performance across three dimensions: â†’ Accuracy: Use the right metric (BLEU, ROUGE, perplexity). â†’ Reliability: Look for transparency into training data, consistency across inputs, and reduced hallucinations. â†’ Speed: Does your use case need instant answers (chatbots, fraud detection) or precise outputs (financial forecasts)? 4. Factor in governance and risk Prioritize models that: â†’ Offer training traceability and explainability â†’ Align with your organizationâ€™s risk posture â†’ Allow you to monitor for privacy, bias, and toxicity Responsible deployment begins with responsible selection. 5. Balance performance, deployment, and ROI Think about: â†’ Total cost of ownership (TCO) â†’ Where and how youâ€™ll deploy (on-prem, hybrid, or cloud) â†’ If smaller models reduce GPU costs while meeting performance Also, keep your ESG goals in mind, lighter models can be greener too. 6. The model selection process isnâ€™t linear, itâ€™s cyclical. Revisit the decision as new models emerge, use cases evolve, or infra constraints shift. Governance isnâ€™t a checklist, itâ€™s a continuous layer. My 2 cents ðŸ«° You donâ€™t need one perfect model. You need the right mix of models, tuned, tested, and aligned with your orgâ€™s AI maturity and business priorities. ------------ If you found this insightful, share it with your network â™»ï¸ Follow me (Aishwarya Srinivasan) for more AI insights and educational content â¤ï¸

25 Comments

Reno Perry

#1 for Career Coaching on LinkedIn. I help senior-level ICs & people leaders grow their salaries and land fulfilling $200K-$500K jobs â€”> 300+ placed at top companies.

532,479 followers 7mo

Thereâ€™s more to AI than ChatGPT and DeepSeekâ€¦ Here are 6 AI productivity tools I canâ€™t stop using: 1. Perplexity (Personal Researcher) When I want in-depth answers to urgent questions, I use Perplexity more than Google these days. Itâ€™s like having your own 24/7 research assistant â€” I use it to do industry research, competitor analysis, fact-finding, and much more. https://www.perplexity.ai/ 2. Substrata (Dealmaking Assistant) High-stakes dealmaking can get complex, making it hard to have a clear understanding of how things are going. Substrata solves this by carefully evaluating all the signals (across your calls and emails) to understand who has the upper hand in a deal â€” and how to get it if you donâ€™t. My company closed two massive deals this year (both Fortune 500 firms), and I used this tool a ton. https://www.substrata.me/ 3. Gamma (AI-Powered Presentations) Create infinite presentations, websites, and more in seconds with AI. Itâ€™s saved me hundreds of hours already, and the end results always look great. https://gamma.app/ 4. Claude (Idea Generator) I use Claude 90% of the time, and ChatGPT just 10%. Why? Claudeâ€™s writing sounds more human and is really good at giving easy-to-understand concepts. I use it to get ideas for carousels/infographics and improve my LinkedIn content. https://claude.ai/ 5. NotebookLM (Infinite Knowledgebase) This is the most underrated AI tool right nowâ€¦ You can combine all of your knowledge (PDFs, recordings, blog posts, etc) on a given subject in a single place and get instant hallucination-free answers when you search it. The best part? Itâ€™s 100% free (from Google). https://lnkd.in/gAfYp_Kb 6. Tango (Easy SOPs) Creating walkthroughs and SOPs for new hires is incredibly importantâ€”but equally tedious and time-consuming. This is by far the best tool for doing that (and creating any kind of how-to) that Iâ€™ve found. https://www.tango.ai/ â€¦ Those are my favorites. Which would you add?

293 Comments

Aakash Gupta

The AI PM Guy ðŸš€ | Helping you land your next job + succeed in your career

279,324 followers 4mo

Everyone talks about AI agents. But few actually show useful workflows. In today's episode, Harish Mukhami actually builds an AI employee: He builds an AI CS agent in just 62 minutes. ðŸ“Œ Watch here: https://lnkd.in/eKbay8tu Also available on: Apple: https://lnkd.in/eAEVwr3u Spotify: https://lnkd.in/eyt7agKj Newsletter: https://lnkd.in/e6KUXi_z Harish is the former CPO at LeafLink (valued at $760M) and Head of Product at Siri. Now, he is the CEO and founder of GibsonAI, which built the scalable database behind our AI agent. Here were my favorite takeaways: 1: Building an AI employee just took 62 minutes. Harish demonstrated creating a fully functional customer success agent using ChatGPT O3 Mini, Gibson AI, Cursor, and Crew AI. The system analyzes data, identifies churn risks, sends emails, and creates Jira ticketsâ€”all production-ready. 2: Follow a three-stage evolution for maximum adoption success. Start with dashboards for insights, move to AI recommendations with human approval, then progress to full automation. This builds organizational confidence while gradually removing humans from routine tasks. 3: Architecture planning upfront prevents weeks of technical debt later. Use reasoning models like O3 Mini to define data models and business logic before coding. This ensures clean integration with existing tools rather than building isolated prototypes. 4: Production infrastructure is becoming accessible to non-technical teams. AI-powered databases auto-provision environments, generate APIs, and handle scaling without DevOps knowledge. Gibson deployed production-grade infrastructure in <3 mins. 5: MCP protocols eliminate the need to context-switch between tools. Model Context Protocol connects databases to code editors, letting you manage everything through natural language. Complex workflows across multiple tools become simple prompts. 6: Multi-agent frameworks make sophisticated automation accessible to PMs. Crew AI abstracts complexity that normally requires engineering expertise. Define specialized agents and orchestrate them like managing a human team with clear handoffs. 7: Any information worker role can now be automated. The same framework applies to SDRs, recruiters, and executive assistants. If your job involves data analysis and action-taking, it's automatable. 8: The PM skillset is evolving faster than most teams realize. Product managers who can architect agent workflows and design human-AI handoffs will have exponential impact. Natural language is becoming the primary interface for building software. 9: Development timelines have compressed from quarters to hours. The combination of reasoning models, AI infrastructure, and agent frameworks represents the biggest productivity shift since cloud computing for resource-constrained product teams.

35 Comments

Joshua Miller

Master Certified Executive Leadership Coach | Linkedin Top Voice | TEDx Speaker | Linkedin Learning Author âž¤ Coaching Fortune 500 leaders with AI-READY MINDSET, SKILLSET + PERFORMANCE

379,718 followers 6mo

Hereâ€™s another Pinterest image circulating SM designed to motivate you, but it falls short of any real value. Hereâ€™s why. Yesterday, a client of mine sent me the attached photo of this "List of Habits" and asked me for my opinion. My answer in one word:Â Garbage. We've all seen that specific list of daily habits, "you're ahead of 99% of the population,â€ yada yada (and yada). Letâ€™s debunk â€œThe 99% Club Mythâ€ once and for all and examine what the research shows: 1) "Deep Work: 4 hours daily" âœ… ð—¥ð—²ð—®ð—¹ð—¶ð˜ð˜† ð—–ð—µð—²ð—°ð—¸: According to Microsoft's 2023 Work Trend Index, 69% of employees struggle to find enough time for deep work. ðŸ’¡ ð—§ð—¿ð˜† ð—§ð—µð—¶ð˜€ ð—œð—»ð˜€ð˜ð—²ð—®ð—±: Schedule two 60-minute distraction-free blocks daily (phone off, notifications disabled, door closed) rather than chasing the elusive 4-hour goal. 2.) "10,000 Steps Daily" âœ… ð—¥ð—²ð—®ð—¹ð—¶ð˜ð˜† ð—–ð—µð—²ð—°ð—¸: A 2023 JAMA Open study found that Americans average 4,800 steps daily. Only 7% of U.S. adults consistently achieve 10,000+ steps. ðŸ’¡ ð—§ð—¿ð˜† ð—§ð—µð—¶ð˜€ ð—œð—»ð˜€ð˜ð—²ð—®ð—±: Focus on consistency by adding just 1,000 steps to your current baseline, then working up gradually, to reach health gains occurring between 4,000-7,500 steps. 3.) "Exercise 3x Weekly" âœ… ð—¥ð—²ð—®ð—¹ð—¶ð˜ð˜† ð—–ð—µð—²ð—°ð—¸: The 2023 American Heart Association Statistical Update shows just 24.2% of adults engage in adequate leisure-time physical activity. ðŸ’¡ ð—§ð—¿ð˜† ð—§ð—µð—¶ð˜€ ð—œð—»ð˜€ð˜ð—²ð—®ð—±: Anchor physical activity to existing daily routines (like a 7-minute strength circuit after brushing teeth) to bypass motivation entirely. 4.) "Save 20% Per Paycheck" âœ… ð—¥ð—²ð—®ð—¹ð—¶ð˜ð˜† ð—–ð—µð—²ð—°ð—¸: According to TheÂ Bureau of Economic Analysis,Â the January 2024 report shows the current personal savings rate at 3.8%. ðŸ’¡ ð—§ð—¿ð˜† ð—§ð—µð—¶ð˜€ ð—œð—»ð˜€ð˜ð—²ð—®ð—±: Automate a 5% savings contribution now (which already beats the national average), then increase by 1% every six months until you reach your target. 5.) "Sleep 8 Hours" âœ… ð—¥ð—²ð—®ð—¹ð—¶ð˜ð˜† ð—–ð—µð—²ð—°ð—¸: Gallup's 2023 sleep survey found Americans average 6.8 hours nightly, with only 31% regularly achieving 8+ hours. ðŸ’¡ ð—§ð—¿ð˜† ð—§ð—µð—¶ð˜€ ð—œð—»ð˜€ð˜ð—²ð—®ð—±: Create a non-negotiable 30-minute wind-down ritual (no screens, dim lights, same time nightly) that signals your brain it's time to transition to rest. 6.) "Read 10 Pages Daily" âœ… ð—¥ð—²ð—®ð—¹ð—¶ð˜ð˜† ð—–ð—µð—²ð—°ð—¸: Pew Research Center's 2023 reading survey found that 30% of Americans report not reading a book in the past year. Statista's 2023 media consumption data shows Americans spend an average of just 16.2 minutes daily reading books or e-books. ðŸ’¡ ð—§ð—¿ð˜† ð—§ð—µð—¶ð˜€ ð—œð—»ð˜€ð˜ð—²ð—®ð—±: Place a book where you waste time (next to your phone charger, bathroom, TV remote) and commit to reading just one page before engaging with the distraction. ð—™ð—”ð—–ð—§: Creating unrealistic standards doesn't motivateâ€”it discourages. The reality is that consistent, moderate #habits serve most people better than arbitrary perfection. Coaching can help; let's chat. Follow Joshua Miller

98 Comments

Loren Rosario - Maldonado, PCC

Executive Leadership Coach for Ambitious Leaders | Creator of The Edgeâ„¢ & C.H.O.I.C.E.â„¢ | Executive Presence â€¢ Influence â€¢ Career Mobility

24,125 followers 5mo

Stress? Hereâ€™s what actually works. Most "calm down tactics" fail because they're: â†³ Band-aids on deeper issues. â†³ Quick fixes that don't last. â†³ One-size-fits-all solutions. This list? It's not just tips. It's what I live by. Real-world guide to staying calm: (Backed by science, tested in real life) 1/ OVERTHINKING â†’ WRITE âœï¸ â†³ Gets your swirling thoughts out of your head. > 43% tamed. â†³ Makes them easier to handle.Â â†³ Try this: 10 minutes of unfiltered writing. No editing, just release. 2/ UNINSPIRED â†’ READ ðŸ“š â†³ Gives your brain fresh ideas. â†³ Lets you escape for a bit > 68% stress relief.Â â†³ Try this: 15 minutes reading anything non-work. Watch your mood shift. 3/ SCARED â†’ TAKE A SMALL RISK ðŸŽ¯ â†³ Teaches your brain you can handle discomfort. â†³ Builds confidence with every step. â†³ Try this: Do one tiny scary thing today. That's progress. 4/ STUCK â†’ WALK ðŸš¶ â†³ Boosts blood flow and clears your head. > 15% creativity boost. â†³ Helps new ideas come naturally. â†³ Try this: 10-minute phone-free walk. Let your mind wander. 5/ TIRED â†’ SLEEP ðŸ˜´ â†³ Exhaustion messes with focus and emotions. â†³ Rest resets your system > 54% alertness improvement.Â â†³ Try this: Power nap or early bedtime. 6/ CONFUSED â†’ ASK ðŸ’ â†³ Talking out loud often brings clarity. > 70% clarity.Â â†³ You don't have to figure it out alone. â†³ Try this: One clear question beats hours of confusion. 7/ FRUSTRATED â†’ MOVE ðŸ’ª â†³ Movement helps release built-up tension. > 25% mood booster.Â â†³ Physical action shifts your mood. â†³ Try this: Quick stretch or 10 jumping jacks. Feel the difference. 8/ BURNED OUT â†’ TAKE A DAY OFF ðŸŒ³ â†³ Full rest helps your brain and body bounce back. > +60% productivity.Â â†³ Time in nature helps even more. â†³ Try this: Schedule a real break. No screens, no guilt. 9/ IMPATIENT â†’ REVIEW PROGRESS ðŸ“ˆ â†³ Looking back reminds you how far you've come. â†³ It helps you stay motivated. â†³ Try this: List 3 recent wins, no matter how small. 10/ UNMOTIVATED â†’ REMEMBER YOUR "WHY" â â†³ Purpose gives your effort meaning. > +35% perseverance.Â â†³ It helps you push through hard moments â†³ Try this: Picture who benefits from your work today. Bonus: These aren't quick fixes. â†³ Your emotions are signals, not problems. â†³ Each response is backed by science. â†³ Calm isn't about feeling better, it's about responding better. Remember: Your emotional state is temporary. Your response to it shapes everything. ðŸ’¬ Which one resonates most? Share below â‡£ ðŸ”– Save this for your next tough moment â™»ï¸ Share with someone who needs this today âž• Follow Loren Rosario - Maldonado, PCC Rosario-Maldonado, PCC, for more science-backed leadership wisdom.Â

466 Comments

George Stern

Entrepreneur, speaker, author. Ex-CEO, McKinsey, Harvard Law, elected official. Volunteer firefighter. âœ…Follow for daily tips to thrive at work AND in life.

339,551 followers 1mo

High achievers don't need more motivation... They need better systems: Motivation is a mood. Systems are infrastructure. A well-built system works whether you feel like it or not. It gives you a repeatable way of doing the boring parts - And saves your energy for the work that actually matters. Here are 12 you can install today: 1. Batch Tasks â†³Handle email, admin, and messages in fixed blocks â†³Action: Pick two daily slots (AM + PM) and close inboxes the rest of the day 2. Two-Minute Rule â†³Tiny tasks create momentum if handled right away â†³Action: When a quick task pops up today, finish it instantly 3. Time-Block â†³Put deep work on the calendar first â†³Action: Reserve your peak 2-hour window tomorrow for one priority project 4. Build Templates â†³Outlines for agendas, reports, and replies save time and energy â†³Action: Create one template today for a task you repeat weekly 5. Automate Resets â†³Weekly and daily checkpoints prevent drift â†³Action: Block 30 minutes Friday for review + 5 minutes each morning to plan 6. Daily Shutdown â†³A shutdown routine marks work as "done" â†³Action: Write tomorrow's top 3 tasks, then close your laptop and leave the workspace 7. Environment Design â†³Make bad habits harder, good ones easier â†³Action: Put your phone in another room at night and set out what you need for the morning 8. Single-Tasking â†³Focus beats juggling â†³Action: Close extra tabs and set a 25-minute timer for one task only 9. Parking Lot â†³Capture stray ideas and tasks so your brain can stay clear â†³Action: Open a "Parking Lot" note on your phone and drop distractions there 10. Finish Lines â†³Define "done" to stop endless tweaking â†³Action: For your next task, write down what 'good enough' looks like before starting 11. Pre-Decide â†³Fewer daily choices = more bandwidth â†³Action: Decide tonight what you'll eat and when you'll exercise tomorrow 12. Daily Cleanup â†³Tiny resets keep clutter from building up â†³Action: End each day with 5 minutes clearing desk, files, and notes Which of these would make the biggest difference for you this week? --- â™»ï¸ Share this to inspire others to build systems. And follow me George Stern for more.

262 Comments

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