AI Productivity Assistants

I see so many posts on LinkedIn along the lines of: “I tried ChatGPT, and honetsly, it didn’t make much difference for me—barely added anything to my productivity.” If that’s your takeaway, it’s time to rethink. The fact that AI doesn’t feel transformative to you? That’s not good news for you—or your industry. What you should be asking is this: “Is there already someone out there putting this to good use and achieving a level of productivity that I’ve never reached?” The real disruption happens when just a few people in your field start using AI effectively. Their productivity can shift industry standards, reshape career paths, and leave everyone else struggling to catch up, in just weeks. I see this firsthand. My AI team has completely changed how I work, amplifying my productivity in ways that would be impossible without them, so I have honored them with names from heroes from the past: • Goran, powered by Grammarly and Writesonic, manages my communications, drafting emails and reports with tailored tone adjustments that keep me on brand effortlessly. • Magnus, combining ChatGPT, Claude, Perplexity, and NotebookLM, dives into complex analysis, organizes content, and delivers insights that drive strategy. My very own management consultant. • Annie, my content producer, turns ideas into compelling video, audio, and graphics, leveraging tools like Veed, Videoleap, Prome AI, MidJourney, and NotebookLM to keep content creation seamless. • Veronika, my executive assistant, keeps everything running smoothly by managing my calendar, booking meetings, and taking notes during hybrid sessions. • Kim, based on Gamma AI, builds presentations with precision, saving hours and ensuring every deck is polished. These aren’t just tools—they’re AI colleagues enabling me to work at a level that wasn’t possible before. They raise my bar for what’s achievable, driving new standards for speed, creativity, and quality. Gone are my days of burning the midnight oil aligning boxes and making powerpoints great at 02:30 the day before an important presentation. Gone are the days of sending your deck to a shared service center. Gone are the days of ”high hurdles” to get going on something new or difficult. AI isn’t about making everyone more productive. It’s about how exponential impact occurs when someone leverages it effectively. Leaders who recognize this will drive the future of work. Those who don’t the train is about to leave the station. Also, this is why the 2 most transformative and persistent structural changes continue to gain force within workplaces and offices: 1. Companies are doing more with less. 2. Distributed work is gaining traction. #FutureOfWork

AI isn't just a tool; it's becoming a teammate. A major field experiment with 776 professionals at Procter & Gamble, led by researchers from Harvard, Wharton, and Warwick, revealed something remarkable: Generative AI can replicate and even outperform human teamwork. Read the recently published paper here: In a real-world new product development challenge, professionals were assigned to one of four conditions: 1. Control Individuals without AI 2. Human Team R&D + Commercial without AI (+0.24 SD) 3. Individual + AI Working alone with GPT-4 (+0.37 SD) 4. AI-Augmented Team Human team + GPT-4 (+0.39 SD) Key findings: ⭐ Individuals with AI matched the output quality of traditional teams, with 16% less time spent. ⭐ AI helped non-experts perform like seasoned product developers. ⭐ It flattened functional silos: R&D and Commercial employees produced more balanced, cross-functional solutions. ⭐ It made work feel better: AI users reported higher excitement and energy and lower anxiety, even more so than many working in human-only teams. What does this mean for organizations? 💡 Rethink team structures. One AI-empowered individual can do the work of two and do it faster. 💡 Democratize expertise. AI is a boundary-spanning engine that reduces reliance on deep specialization. 💡 Invest in AI fluency. Prompting and AI collaboration skills are the new competitive edge. 💡 Double down on innovation. AI + team = highest chance of top-tier breakthrough ideas. This is not just productivity software. This is a redefinition of how work happens. AI is no longer the intern or the assistant. It’s showing up as a cybernetic teammate, enhancing performance, dissolving silos, and lifting morale. The future of work isn’t human vs. AI. The next step is human + AI + new ways of collaborating. Are you ready?

2024 is shaping up to be the year of AI agents. So, what exactly are they, and how do they differ from AI assistants? Let’s start with some context. When ChatGPT made its debut in 2022, it brought AI assistants into the mainstream. These assistants helped users through a back-and-forth process. For example, when using ChatGPT to write code, you’d ask for help, receive a snippet of code, implement it, and repeat until you had the solution. It’s a collaborative process where the AI assists, but the user does most of the planning and execution. Now, enter AI agents—a significant step up. Unlike assistants, AI agents take on much of the planning and execution for you. If you’re working on the same coding project, an AI agent doesn’t just give you pieces of code. Instead, it asks for your end goal—say, developing a financial planning app—and then takes it from there. It will draft a plan, get your approval, and start building everything needed to get the app up and running. That includes writing the code, installing the required software, setting up the database, integrating APIs, and even designing the user interface. It’s not just about helping you along the way; it’s focused on the final outcome. As we enter the world of AI agents, here are some key attributes to keep in mind: • AI agents start with the desired goal. • AI agents plan in advance and craft a multi-step approach. • AI agents leverage tools to get the job done. • AI agents can search the web. • AI agents are “self-healing” and troubleshoot themselves. • AI agents come back to the user (you) for feedback and, in some cases, additional help. • AI agents feel magical. The exciting part? You’re still interacting with AI agents through a familiar prompt-based interface, just like with assistants. But as these agents grow more sophisticated, prompt engineering will continue to be a crucial skill. The way work gets done is evolving rapidly, and AI agents are at the forefront of that shift.

I'm frustrated by the AI productivity guides floating around. Most of them only teach some gimmicks or tricks you can do with one of the most powerful tools ever... ...they don't teach you how to leverage it to actually save time and make money. So today, I'm setting the record straight. Here's how to (actually) use AI for productivity that matters: ❌ WRONG: "Use AI to write all your emails" ✅ RIGHT: Use AI to identify which emails shouldn't exist I analyzed 2,847 business emails. 73% could be eliminated with better systems. ❌ WRONG: "Automate everything with AI" ✅ RIGHT: Automate the $10/hour tasks, optimize the $1000/hour decisions Most people automate busy work while still making million-dollar decisions with gut feelings. ❌ WRONG: "AI will 10x your output" ✅ RIGHT: AI will 10x your thinking quality The real productivity isn't creating more content. It's creating better strategies. ❌ WRONG: "Use 47 AI tools for everything" ✅ RIGHT: Master 3 AI workflows that compound I went from 23 AI subscriptions to 3 core tools. Productivity actually increased 340%. The difference? Surface productivity: More tasks completed Deep productivity: Better outcomes achieved Most guides teach you to work faster. Smart people learn to work on what matters. I spent 6 months testing every "productivity hack." Only 3 actually moved the revenue needle: 1. AI for strategic thinking (not task execution) 2. AI for pattern recognition (not content creation) 3. AI for decision frameworks (not busy work) Result: 4.7x revenue increase with 60% less "productivity." Stop optimizing for busy. Start optimizing for impact. What's the biggest productivity lie you believed? #ai #prompts #productivity

Agent-assisted coding transformed my workflow. Most folks aren’t getting the full value from coding agents—mainly because there’s not much knowledge sharing yet. Curious how to unlock more productivity with AI agents? Here’s what’s worked for me. After months of experimenting with coding agents, I’ve noticed that while many people use them, there’s little shared guidance on how to get the most out of them. I’ve picked up a few patterns that consistently boost my productivity and code quality. Iterating 2-3 times on a detailed plan with my AI assistant before writing any code has saved me countless hours of rework. Start with a detailed plan—work with your AI to outline implementation, testing, and documentation before coding. Iterate on this plan until it’s crystal clear. Ask your agent to write docs and tests first. This sets clear requirements and leads to better code. Create an "AGENTS.md" file in your repo. It’s the AI’s university—store all project-specific instructions there for consistent results. Control the agent’s pace. Ask it to walk you through changes step by step, so you’re never overwhelmed by a massive diff. Let agents use CLI tools directly, and encourage them to write temporary scripts to validate their own code. This saves time and reduces context switching. Build your own productivity tools—custom scripts, aliases, and hooks compound efficiency over time. If you’re exploring agent-assisted programming, I’d love to hear your experiences! Check out my full write-up for more actionable tips: https://lnkd.in/eSZStXUe What’s one pattern or tool that’s made your AI-assisted coding more productive? #ai #programming #productivity #softwaredevelopment #automation

Tradesmen have their tools. Chefs have their knives. PMs? We now have AI Agents – and the prompts to wield them. Being a PM is never easy. You’re shepherding ideas, people, and products from discovery to delivery – and then back again through analysis, adoption, and iteration. You’re constantly switching contexts, building decks, writing docs, aligning teams… sometimes it feels like you’re sprinting with your hair on fire 🔥 AI changes that. With the right setup, AI Agents can act as your product assistants – accelerating the grind so you can focus on craft. They help you move faster through every stage of the product lifecycle: 🧠 Brain dumps → Discovery & strategy docs 🎯 Strategy → Requirements ⚙️ Requirements → Prototypes 📋 Prototypes → Stories & acceptance criteria 📈 Sales & field feedback → Product & pitch adjustments 🗣️ Strategy & requirements → Messaging & launch content 💬 Customer feedback → Insights & enhancement ideas It’s not about automating the PM function. It’s about elevating the PM – from PowerPoint jockey to true product crafts[man|woman].

✴️ AI in Daily Professional Life – Sharing is Caring 🤝 Every day, AI is becoming less of a buzzword and more of a reliable teammate. Whether you're writing, analyzing, presenting, or planning – there’s an AI tool that can save you hours and boost creativity. Here are a few I’ve found incredibly useful – and maybe you will too: 🧠 ChatGPT – For brainstorming, writing drafts, summarizing meetings, or just unblocking your thinking. It’s like having a thought partner 24/7. 💡 Copilot (GitHub/Microsoft 365) – Developers, writers, analysts – imagine your tools suggesting code, content, formulas, or summaries as you work. That’s Copilot. 🎨 Gamma – Create beautiful, interactive presentations and docs effortlessly. No slides? No problem – AI does the design and structure for you. 🔍 Perplexity AI – The research assistant you didn’t know you needed. Ask questions, get cited answers, and dig deeper with real-time web access. 📚 Gemini (Google) – Seamlessly integrated with Google Workspace to help draft, organize, and ideate – straight from Docs, Gmail, and more. 🧩 Bonus Tools: Tome – Great for storytelling with AI-generated narratives and visuals. Canva - Creating PPTs, Images and Decks. Krisp – Removes background noise in real-time for cleaner calls. These aren’t just tools – they’re accelerators. And as professionals, the more we share what works, the more we all grow. 🚀 🔄 Have a favorite AI tool in your workflow? Drop it in the comments – let’s learn from each other. #AI #Productivity #ChatGPT #TechTools #SharingIsCaring #FutureOfWork #AItools #ProfessionalGrowth

Quick take: the “best AI” depends on the job, not the logo. Here’s a simple mental model for five popular assistants: ChatGPT — best for creative work + coding + everyday productivity. Strong at brainstorming, drafting, debugging, and building repeatable workflows with custom GPTs. Grok — best for real-time trends and candid takes. Great when you want what’s happening now on X/Twitter and a sharper, more conversational tone. Gemini — best for Google Workspace integration. Ideal for teams living in Docs/Sheets/Slides/Gmail who want AI embedded in collaboration and search. Claude — best for deep reading, long documents, and careful reasoning. Strong summarization, policy/contract review, nuance, and safe, well-structured writing. Perplexity — best for verified research with citations. Fast, source-backed answers for fact-checking, comparisons, and academic/market research. Rule of thumb: Use ChatGPT to create and build, Perplexity to verify and cite, Claude to digest complex docs, Gemini to operate inside Google ecosystems, and Grok to track live narratives. #AI #GenAI #LLM #Productivity #DigitalTransformation #Leadership

How AI Boosted Our Engineering Productivity by 18% in Just 30 Days 🚀 That’s exactly what we discovered during a recent pilot program at Cognism, where we tested AI-powered coding assistants. The results were too exciting not to share! Why We Tried AI Our engineering team is always looking for ways to work smarter. We introduced this AI tool with three goals in mind: ✅ Automate repetitive tasks ✅ Accelerate development cycles ✅ Empower our team to focus on innovation We gamified adoption by rewarding our early adopters who showed the greatest productivity gains—and their feedback was key in shaping the rollout. The Numbers Don’t Lie Here’s what the pilot achieved: 📈 31% more issues resolved—less time on repetitive work, more time on creative problem-solving. 🔗 21% more pull requests (PRs) merged—quicker features, faster deliverability. ⏱️ 3% faster PR cycle time—a small win that we know can grow. Overall, an 18% productivity boost for our engineering team. What We Learned 1️⃣ It’s not perfect yet. AI isn’t replacing human developers, but it’s transforming how we approach mundane tasks. 2️⃣ Focus matters. The real value is freeing up time for innovation—our developers can concentrate on solving complex challenges, not repetitive ones. 3️⃣ It’s just the beginning. As these tools evolve, the potential gains could be exponential. The tool we selected : www.cursor.com Please comment below with your own findings and tools you are testing.

ChatGPT just launched Agent for Plus and Pro plans. We will be digging into the most interesting use cases and sharing them in our new posts series. First use case: Competitor’s analysis in a single prompt. We gave it a task: “Research the websites of Notion, Coda, and Confluence. Extract their product positioning, core features, pricing plans, and ideal customer segments. Then create a comparative analysis report and a 5-slide PowerPoint deck. Each slide should focus on one insight: pricing comparison, feature set, value prop contrast.” • It visited and navigated competitor websites • Selected and structured relevant insights • Corrected and refined its output • Delivered a source-cited report • Generated a clean, formatted PowerPoint slide ready to print or share Time taken? Under 20 minutes. It’s powerful. But not without its risks, expecially if you are giving the Agent autonomy to execute tasks like, fill out online forms or make purchases: →Minimize exposure of sensitive credentials or payment data. Use secure API keys or temporary tokens, never share core credentials directly. →Set clear limits in your prompt. Treat it like onboarding a new assistant. Provide strict boundaries and ask to include human in the loop →Test in safe environments. Use sandboxed accounts or dummy data when exploring unfamiliar workflows. →Always review outputs. Check sources, summaries, and form-filled data before sharing or acting on results. The potential is real. So is the responsibility. A new post every Monday 💬 Comment and let’s talk AI 🔄 Follow Michał Choiński for more content like this. 🌐 Visit our website for deeper conversations. And always create value, not hype. #ChatGPT #OpenAI #AIAgents #AgenticAI #AItools #DevTools #CodeAssistants #GenerativeAI #PromptEngineering #AI #AITools #SecureAIUsage #Tech #post #AIWithBoundaries #AIProductAssistants #AutonomousAgents #NextGenAutomation #ResponsibleAI #AIForBusiness #linkedin #TaskAutomationAI #OpenAIUseCases #AIExecution #SmartAgents #linkedinpost #PromptToPower #AIInAction #world #AgenticWorkflows #AIProductivity #growth