Maximizing Workplace Productivity

MCP is an MVP if you are exploring ways to supercharge your AI workflows. I am very impressed by the MCP (Model Context Protocol) architecture and proud of the way we have embraced it at Visa to accelerate our GAI work. MCP is an open standard, introduced by Anthropic. It acts like a universal connector, seamlessly linking AI applications to external tools, data, and services. Think of it as Bluetooth for AI – enabling plug and play integrations without multiple, messy connections and custom code.   For companies embracing the power of GAI, MCP is a dream come true. It eliminates the headache of building bespoke API integration for every tool, letting AI agents access resources like file systems, wikis, shared drives, databases etc in real time. This means your AI can pull custom data, automate tasks or analyze reports instantly. As an early adopter, we are already using MCP to streamline workflows and with 1000s of community built MCP servers, the eco system is exploding.   My advice to those beginning their MCP journey – start small. Identify a repetitive task (like updating CRM records or generating analysis). Setup an MCP server for your tool or service (many are prebuilt), connect it to your AI client and watch the magic happen. Experiment, scale, and explore the open-source MCP community for inspiration. Once you start using MCP, you will see a step function increase in your innovation velocity.

Anthropic’s Model Context Protocol (MCP) lays the foundation for how LLMs interact with tools and data through structured protocols. But most discussions stop at theory. This graphic shows what it 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 looks like to build and operate MCP-compatible servers across real-world use cases. Here are 5 production-ready MCP servers that automate day-to-day tasks: → 𝗙𝗶𝗹𝗲 𝗦𝘆𝘀𝘁𝗲𝗺 𝗠𝗖𝗣 Interacts with your local files: read, write, move, search, and fetch metadata. Critical for on-device workflows. → 𝗚𝗼𝗼𝗴𝗹𝗲 𝗗𝗿𝗶𝘃𝗲 𝗠𝗖𝗣 Extends those same capabilities to cloud storage. Enables LLMs to search, access, and organize cloud documents. → 𝗦𝗹𝗮𝗰𝗸 𝗠𝗖𝗣 Let agents read, post, and reply inside Slack. Useful for AI-powered meeting assistants and notification engines. → 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗠𝗖𝗣 LLMs can queue songs, recommend music, and manage playback through API calls. → 𝗡𝗼𝘁𝗶𝗼𝗻 𝗠𝗖𝗣 Enables Claude or any LLM to manage your task list inside Notion — from reading tasks to marking them complete. Each server follows a clear lifecycle: Client Request → Credential Validation → Tool/Operation Identification → Execution → Logging + Error Handling MCP isn’t just a spec. It’s the protocol that bridges GenAI models with the real world — turning LLMs from chatbots into autonomous operators.

MCP is to AI what HTTP was to the internet — a simple standard with massive impact. It’s the bridge that connects AI with the systems we all use every day. 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 Today, AI is good at producing answers but remains cut off from the apps, data, and systems people rely on. Companies have to build custom connections one by one — a slow, costly process that adds complexity and risk. For example, if you ask AI to pull last quarter’s sales figures, it can’t simply reach into your company’s database or ERP system. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗠𝗖𝗣 This is the gap the Model Context Protocol (MCP) was designed to solve. Introduced by Anthropic in November 2024, MCP provides a shared set of rules for connecting AI with the tools and systems we use — from databases and files to business apps and APIs. A simple analogy we all understand: MCP is like USB for computers — one standard that lets us plug in many different devices. 𝗛𝗼𝘄 𝗠𝗖𝗣 𝘄𝗼𝗿𝗸𝘀 Instead of one-off, custom integrations, MCP creates a single, consistent bridge. This allows AI to pull information, trigger actions, and deliver results in a controlled, auditable way. To build on the earlier example: rather than building a special connector just to fetch last quarter’s sales figures, MCP gives AI a standard way to access that data — and the same approach works whether the source is a CRM, a file system, or a payments API. 𝗜𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 ·      AI becomes actionable — able to interact with real systems, data, and processes, making it useful in everyday life. ·      Multi-agent systems (MAS) become scalable, as agents can coordinate through a shared protocol across many tools. ·      Greater trust and accountability, with activity easier to monitor, audit, and control — essential for safety and regulation. ·      Ecosystem-wide acceleration, similar to the internet’s growth after HTTP, as one standard lowers barriers for developers, platforms, and institutions. 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 ·      In just months, MCP has become the default way leading AI platforms connect to external systems. ·      OpenAI has integrated it into ChatGPT, the Agents SDK, and the Responses API. ·      Google DeepMind and Microsoft have announced support in Gemini and Copilot Studio. ·      Hundreds of open-source MCP servers now connect to services and platforms like GitHub, Slack, Postgres, and Stripe. ·      Real-world use cases are emerging: payments providers use it to let users generate PayByLinks through natural language, and Windows apps like Perplexity can now search files or perform system tasks through MCP. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 Security gaps, limited authentication and permissions, reliance on local servers, and immature tooling remain the biggest obstacles to large-scale deployment — hurdles that must be addressed before MCP can reach mainstream adoption. Opinions: my own, Graphic source: BCG Subscribe to my newsletter: https://lnkd.in/dkqhnxdg

Don’t take a break from marketing yourself or your organization during the summer - instead ramp it up 🙌🏻 The summer is a great time to focus on your business development and branding efforts, especially since many of your competitors may not be. Most of us still have to work during the summer, we are still interested in networking, reading content, attending webinars, listening to podcasts and watching videos and are scrolling on LinkedIn. We have more time to learn. This is THE time to focus on your own personal branding - especially your social media brand and do all those things on your “would like to do” list. Here are some ideas: - Set up Google Alerts for yourself and your top clients/prospects. Your clients and potential clients are Googling you - know what they see and it gives you reasons to reach out to them. - Reevaluate your business development goals for the year and set three achievable ones for the remainder of 2024. - Reconnect in person with important clients and referrals. - Write a client alert, a blog post, an article or all of these! If writing isn't your thing, co-author a piece with a colleague. Remember, good content doesn’t need to be long. Most individuals skim articles. - Learn how to use LinkedIn for building your brand and business - this means posting consistently and having a content plan. - Make a connections plan for LinkedIn to strategically increase your network. - Look at the analytics of past blog posts and client alerts. Use this information to strengthen your content strategy. Write a part 2 or update a piece that did well. - Enhance and update your bio and LinkedIn profile and update your representative matters. If you don’t say you do something people assume you don’t and also it helps with your SEO. - Become involved with your alumni associations for strategic networking and relationship building. - Ensure that all practice area/industry descriptions on your web site are updated and create new ones as needed. Look for niche areas where your competitors aren’t. - Update lawyer bios. These need to be updated regularly to reflect what you do, for whom you do it and WHY you do it. If your website has bios that all sound the same, consider a bio refresh initiative. - Do research to identify a bar association committee, social cause, trade association or pro bono project to get involved in - it’s a great way to give back to the industry and community, and meet new people. - Create short-form videos like these or a podcast. The summer is a great time to repurpose existing content and try something new. Which of these resonates with you? #legalmarketing #socialmediastrategy #linkedintips #b2bmarketing #personalbrand

They say doubt kills more dreams than failure ever could. You know what else can? Distractions. As a multi-hyphenate juggling several projects - from curating offsites, creating bilingual change curriculums, launching the Future Fit Awards, interviewing #futurefitleaders for the 'pod, delivering fractional change advisor services - staying focused isn't just a choice—it's a necessity. With so many plates spinning, the last thing I can afford is a distraction that sends them crashing to the ground. But let’s be real—distractions are everywhere. Here's my secrets to keeping everything in motion without dropping the ball. ➡ Start with several Micro-Wins Before diving into the big stuff, knock out some quick, easy tasks. It’s like warming up before a workout—it gets the momentum going, and it’s easier to tackle the heavy lifting. ➡ Align your energy peak Know your physiology. For deep, focused work, identify when your brain naturally thrives—whether it’s early evening or late morning—and reserve that time for the deep thinking, strategising, and creative work. ➡ Design your day with themes Thematically diarise your day. Monday mornings might be DND, Tuesday afternoons for hatching new ideas, all-day Wednesday is for relationship building etc. This way, you’re not constantly switching gears, which is one of the biggest productivity killers. I'd love to hear from you - what are your top tips to keep focused when the world around you is a whirlwind? 🚀 #Careers #linkedinnewsaustralia #Productivity

Can you work in chaos? Sure. But will the output be the same? Definitely not. As an agency owner, every day brings a new challenge. The kind of work we do requires a highly active brain—creative ideas, constant brainstorming, and strategic thinking. It’s not routine; it’s a journey to grow the business 70% of the time, and 30% to keep it running. But let’s be real: this journey is far from easy. If the environment isn’t peaceful—mentally or physically—it becomes nearly impossible to perform at our best. Here’s what I’ve learned about the two types of peace we need to succeed: 1️⃣ Mind Peace A cluttered mind equals a cluttered output. To clear your mental space: - Start your day with a to-do list and set priorities. - Take short breaks between intense tasks to reset. - Practice mindfulness or meditation for 5 minutes daily to declutter your thoughts. - Consider therapy. Sometimes, talking to a professional can help you manage stress, gain clarity, and improve focus. 2️⃣ Environmental Peace A messy space—physically or digitally—leads to messy productivity. Here’s what helps: - Keep your workspace clean and organized. - Declutter your digital life: organize files, clear your inbox, and streamline your workflow. - If home distractions are unavoidable, head to a cafe or coworking space for focused work. - Limit unnecessary noise or interruptions while working on creative tasks. Since I’ve started implementing these changes, my productivity has skyrocketed. Clean space, clear mind—it’s a game changer. If you’ve been feeling stuck or overwhelmed, give this a try. Prioritizing both mind peace and environmental peace can unlock your best work yet. Let me know which of these resonates most with you! 😊

What happens when your own engineers use your GenAI tool to write code? Anthropic just published a rare behind-the-scenes look at how Claude is used internally by its dev teams across engineering, product, and research. This isn’t marketing. This is deployment. And here’s what they learned. Spoiler: it’s not all green checkmarks. ✅ Code generation & refactoring: Claude helped engineers generate boilerplate code, restructure legacy codebases, and even translate code between languages. One engineer said Claude saved them 20–50% of time on implementation tasks. ✅ Documentation & commenting: Developers used Claude to generate docstrings, inline comments, and Markdown README files. Claude was especially good at summarizing code it just wrote. ✅ Testing & debugging: Teams used it to write unit and integration tests—often faster than they could manually. Claude also helped pinpoint bugs in existing code (with accuracy depending on prompt quality). ✅ Accelerated brainstorming: Engineers used Claude for “first-pass thinking”—spitballing possible approaches or implementation plans before writing actual code. But it wasn’t perfect: ❌ Hallucinations in low-context prompts: Claude sometimes invented non-existent libraries or APIs—especially if the prompt lacked clarity. Engineers had to verify outputs, not blindly trust. ❌ Inconsistent performance in large codebases: Claude’s effectiveness dropped when dealing with complex, multi-file repositories unless context was managed tightly. ❌ Doesn’t replace IDEs or CI/CD tools: It’s a productivity co-pilot, not a full dev environment. Anthropic teams still needed rigorous testing, review, and deployment processes. So... should we all just throw Claude into our SDLC? Maybe. But ask yourself: Are your engineers ready to prompt well? Are your workflows set up to verify and test LLM outputs? Are you solving for speed and quality? My takeaway? Claude isn’t magic but when paired with disciplined engineering, it’s a force multiplier. It’s like adding a junior developer who never sleeps and writes great documentation. But you still need to be the lead engineer. Would you let an LLM push to main? Why or why not?

What is MCP - Anthropic's groundbreaking AI app store? Model Context Protocol (MCP) could change everything about how we interact with AI. Imagine if your AI assistant could just... access your stuff without you having to play digital paperboy every time. That's what MCP does. ↓↓↓ Think of it this way: HTTP gave us the web. MCP might just give us true AI assistants. The problem with current AI? You're constantly playing middleman - uploading files, copying information, dragging and dropping like it's 1999. MCP, invented by Anthropic back in November, is like giving AI a proper set of hands to work with your digital world. In my demo: AI accessed a website directly through Puppeteer Took screenshots without human intervention Analyzed webpage copy Could have sent recommendations straight to a design team via email Could have created tickets in project management tools The magic isn't just what it does - it's what YOU no longer have to do. Instead of saying "Here's my file, now analyze it, now I'll take your analysis and email it to my team," you just say "Analyze my website and email the recommendations to my team." The AI handles the whole workflow. And like any good platform innovation, the real value comes when enough people build on top of it. We're just now reaching that critical mass. Security considerations? Yes, plenty. Game-changing potential? Absolutely. What workflows would you automate if your AI could seamlessly access your digital tools? #AI #MCP #futureofwork #agents #productivity #emergingtech

It’s really easy for me to work from home. And that’s not just about convenience, it’s about productivity and wellbeing. I was reminded recently of how challenging open plan offices used to be for me. The noise. The distractions. The constant awareness of being watched as I walked the corridors trying to find focus. Open plan offices often create invisible judgment circles. *️⃣ Where productivity is measured by how long you sit at your desk. *️⃣Where a five-minute break is noticed. *️⃣Where fidgeting or playing a 30-second game to reset your brain is misread as laziness or disengagement. I don’t think I could go back to that kind of environment. Just writing this post, I’ve taken two movement breaks and played two phone games, my best strategies for staying on task. So how do we juggle this? Open plan offices are still the norm. And for many organisations, in-office time still feels essential. But these environments don’t work for everyone—and they’re impacting both productivity and mental health. Let’s start here: 1. Be intentional about culture. 💠Talk openly about different work styles. 💠Focus on outcomes, not hours. 💠Build understanding of neurodivergence and modern ways of working. 2. Be intentional about space. 💠Create quiet zones, offer noise-cancelling headphones, use softer lighting. 💠Make space for movement breaks - schools do this well, why not us? 💠 And most importantly, make asking for adjustments easy and part of the norm. 3. Trust your people. 💠Ask what they need to thrive. 💠Experiment. 💠Adapt. 💠Challenge the status quo. Because productivity and wellbeing can co-exist. We can do better than one-size-fits-all. And when we do - our people do better too. (Now excuse me whilst I put a few pieces into my jigsaw puzzle before moving onto my next task) Image description: Scattered black puzzle pieces on a wooden table. None of the pieces are connected, symbolising individuality, complexity, and the challenge of fitting together different needs or approaches. #neurodiversity #InclusiveLeadership #DEI

Creative work doesn't have to mean chaos. I built a system that lets me get more done (and still have energy for life). My step-by-step breakdown: 1. Weekly Creative Cycle: Structured days for input, ideation, planning, creation, and review. 2. Time-blocking: Dedicated slots for deep work and creative tasks. 3. Tool stack: Using Notion, Trello, and mind-mapping tools to organise ideas and content. 4. 3Es Framework: Creating content that Educates, Entertains, or Empowers. 5. Templates: Pre-designed formats for posts and emails to save time. 6. Scheduled rest: One day for content scheduling and unplugging. This system saved me from burnout when juggling multiple high-stakes projects. It transformed my workflow from chaotic to controlled, allowing for better quality output and more personal time. Remember, creativity thrives on structure. Give your ideas a framework to flourish. #Creativeframework #creativity