Calendar Management Tools

I spend a huge part of my week just managing my calendar — finding free slots, rescheduling meetings, dealing with recurring events, and juggling multiple time zones. It’s tedious and eats into real work. That’s why I decided to build my own solution: a Google Calendar AI agent powered by Google’s Agent Development Kit. This agent can: 👉 Understand plain English commands like “Schedule a 1-hour call with Alex next Tuesday morning”. 👉 Suggest free time slots based on my existing calendar. 👉 Handle recurring events, cancellations, and attendees automatically. 👉 Work across time zones without any manual conversion. While building this, I learned something crucial: AI isn’t just about generating text — it can actually perform actions that solve real problems. Designing this agent taught me how to bridge natural language understanding with real-world API actions. I wrote a detailed step-by-step blog, including code snippets and logic, so anyone can replicate this setup or build their own AI productivity assistant: https://lnkd.in/dsDhtcMr #AIAgents #AgentDevelopmentKit Google Cloud #GoogleAI #GoogleCalendar #CalendarManagement #AgenticAI

It is time for another automation story. The Automated Interview Scheduler helps the Talent Acquisition teams to schedule interviews with candidates, based on information from our Applicant Tracking system and defined business mappings. The solution requests availability from the candidate via a designated UiPath app and aligns it to the one of the interviewers, prior to sending the actual invites. All interviews can be managed in a different UiPath app dedicated to Talent Acquisition team where they can edit candidates availability if requested, cancel interviews or monitor the invites responses for each interview. The business mappings are covering different types of interviews: (a) 1:1 Interviews, between the candidate and only one interviewer; (b) Panel Interviews, between the candidate and multiple interviewers at the same time and (c) Loop Interviews, a series of interviews one after another in the same day or in two consecutive days. How does it work? Requests candidate availability, follow-up on candidate response, checks interviewer(s)' availability in different systems (including Outlook), identifies suitable intervals for scheduling all types of interviews, sends meeting invite to candidate & interviewer/s via Outlook, generates Hacker Rank Link, sends Feedback Forms to interviewers and monitors invite’s responses. Busy automation. Removes a lot of mundane and repetitive activities of our colleagues. Automation built by our Center of Excellence using UiPath Business Automation Platform in collaboration with our People Operations Team. Florentina Rondin-Irimia, Ruxandra Radulescu, Elke Manjet, Elena Mega, Irina Căpățînă. #UiPath #ActionCenter #UiPathApps #AI+Automation

So many assistants are all about generative AI tools like ChatGPT, Copilot, Gemini, and others, but they won’t even give a scheduling automation tool the light of day. There’s nothing wrong with diving into the LLM world, but many assistants are missing the low-hanging fruit. 🍋 Taking a few moments to set up booking links, automated reminders, and group polls via a calendar automation tool like YouCanBookMe by Capacity can provide a ton of return on investment. 👀 Even if you only automate 50%-75% of the meetings you schedule for yourself, your executive, and your team, that time saved can be redirected to strategic activities. 💪 You know, things like building complex AI Agents with ChatGPT and Copilot. 😎 So yes, embrace generative AI in your role. But don’t skip past the automation of manual, repetitive, painful tasks in the process. #leaderassistant #assistantslead #automation #scheduling #calendar #executiveassistants

Scheduling can take up to 80% of an EA’s day. But as important as it is, an EA has far more valuable work to do. Yes, an executive’s calendar is “everything.” But you know what’s more important? What’s actually happening on that calendar. I know this from firsthand experience during my years as an EA. When an EA is consumed by scheduling, they lose time to focus on the bigger picture. And then comes AI. Lucy Brazier’s post today (I’ll drop the link in the comments) highlighted the AI 2027 report from the AI Futures Project. It stopped me in my tracks. The report predicts that 2027 will be the year of Agents and to state the obvious — we’re already halfway through 2025. You know what’s going to come with the evolution of AI? The elimination of certain tasks performed by EAs. But don't mistake that for the elimination of the role itself — the two are [not] the same. If you’re an EA whose day revolves around tasks that can be automated, it’s not a question of if they’ll be replaced, but when. And scheduling sits squarely in that category. The good news? All of this means the assistant now has an assistant! The same way you take tasks off of your executive’s plate, you need to allow AI to do for you. That’s why I’m so energized by the conversations I’ve been having with EAs and leadership across our customer base at ShareCal. Smart teams get it: 𝗔𝗜 𝗰𝗮𝗻’𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝘁𝗵𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗘𝗔 𝗯𝘂𝘁 𝗶𝘁 𝗰𝗮𝗻 𝗿𝗲𝗺𝗼𝘃𝗲 𝘁𝗵𝗲 𝗿𝗲𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝘁𝗮𝘀𝗸𝘀 𝘁𝗵𝗮𝘁 𝗹𝗶𝗺𝗶𝘁 𝘁𝗵𝗲𝗶𝗿 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. → ShareCal handles the time consuming, manual parts of scheduling. The parts Outlook and other tools make more complicated because they weren’t designed with the EA top of mind. → ShareCal puts time back into the EA’s day freeing them up to lean further into what truly matters. Because the best EAs don’t just manage time. They bring strategic thinking to how time is used: → More time for an EA means sharper focus for the executive. → More time for an EA means a smoother day for the executive. → More time for an EA means their executive can lead better. And you know what that means? An executive focused more on outcomes that drive revenue because an EA with more time is good for business.💥 If you’re curious about what that could look like in your org, let’s talk: https://lnkd.in/ema4ETU6 #executiveassistant #administrativeprofessionals

10^30000 scheduling combinations. 50 hours per week in Excel. If you've lived inside traditional WFM tools, you know this headache. Assembled's new AI-powered Schedule Generation does it in minutes. Here's the breakdown: 1,000 agents. 5 shifts each. 8 hours per shift. That's 5,000 shifts to schedule. Each shift needs: One productive event (chat, email, or phone). Two breaks. One lunch. One meeting. Discretize 8 hours into 15-minute blocks and you get 32 options. For non-productive events alone: 32 × 31 × 30 × 29 / 2 = 431,520 combinations per shift. Multiply by 3 productive event options. 1,294,560 combinations per shift. Now do that for 5,000 shifts. (10^6)^5000 = 10^30000. That's a number with 30,000 digits. At 2,000 digits per page, it takes 15 pages just to write it out. The “nurse scheduling” problem is a classic NP-hard problem. This is what workforce managers are solving with spreadsheets. Assembled's AI-powered Schedule Generation feature handles this in minutes. Agent needs Thursday off for a doctor's appointment? Old way: Submit request. Wait for approval. Hope it doesn't conflict. Assembled's way: Integer linear programming for coverage optimization. Constraint programming for breaks, lunches, and labor law compliance. Decomposition to break 34,000 weekly shifts into 50 parallel subproblems. 2 hours becomes 10 minutes. Agents can also browse available swaps directly in the system. AI ensures swaps follow your rules: Matching skills Queue compatibility Channel requirements. Our schedule Layers prevent coverage gaps entirely. It has three intelligent layers: Productive work Meetings/breaks Time off. When a training cancels, productive work surfaces automatically underneath. One global payments company told us: "This replaces our hideous spreadsheet where we export schedules just to flag compliance issues. Programming rules directly in is chef's kiss." AI handles 10^30000 combinations. Managers can now handle strategy. Kudos to the team on this big, NP-hard launch. Antony Phillips, Claire D., Jack Gleeson, Malfy Das, Nicole Pan, Zach Clark, Chancie(Qianshi) Zheng, Charlie Rotholtz, David Patou, Devon Berger, Todd Bergman, Dan Hertz

A manager at one of our partner hospitals used to block off two full weeks on her calendar every scheduling cycle just to balance the schedule. It was a juggling act: reconciling preferences, filling holes, checking ratios, moving people around to make it all work. Ten business days of work for something that would be out of date the moment a shift change came through. Then her team started using M7’s auto-balance. Now, balancing the schedule is done in one sitting. The extra time? That goes back to her primary responsibilities — coaching new team members, giving charge nurses breaks, working on quality initiatives, rounding with patients and teams. And because the schedule is balanced so much faster, nurses get an extra week to submit their preferences. They have more control over their lives. Leaders have more bandwidth to support them. Everyone wins. This isn’t about automating people out of the process. It’s about giving them hours back and freeing them up for the conversations and decisions only they can make. #NurseStaffing #HealthcareLeadership #WorkforceStrategy M7 Health #NursingInnovation

This week I wrapped up a small Power Apps and Power Automate solution for our team and it is already making our workflow feel lighter. We were juggling scheduling requests and calendar holds in a way that left a lot of room for missed steps. People were sending messages in different places and tracking follow up work manually. These requests impact timelines, client communication, and how we plan the rest of our work. Everyone needs clarity on what is coming, what is waiting for review, and what needs action. It was too easy for something to slip through the cracks. So I built a simple Power Apps screen and two lightweight automations to keep everything organized. The app lets you create a new calendar hold or update the status of an existing one all in one place. The automations handle everything that used to rely on memory. Here is what the solution does now: → When someone submits a new class request through the app, it is automatically labeled with a Status of Hold so nothing starts in a blank or unknown state. → A Power Automate flow creates a calendar event that blocks the time for our team with session details and the hold end date. If the status changes, the event is updated or removed automatically. → The team sees all pending items in one clean table inside the app and on the shared team calendar. → A second automation checks our list every day and looks for any hold that ends today. When it finds one, it notifies our admin and client services teams so they can follow up with the client at the right time. The result is exactly what we needed. ★ Items no longer get lost in chat threads or long email chains. ★ Everyone works from the same information, which removes a lot of guesswork. ★ The workflow is consistent, which makes collaboration smoother. No one has to track calendar blocks manually. No one has to chase down missing details. The workflow stays organized with minimal effort from the team. This is the kind of automation I love! Something that simplifies the day and removes repetitive work. And the pattern is useful in so many places. • Healthcare teams scheduling equipment or appointments • Facilities teams tracking room reservations or maintenance tasks • Higher education departments managing events or reviews • Nonprofits organizing volunteers and donation pickups • HR teams coordinating onboarding or training sessions Any team that handles requests and needs a simple way to see what is on Hold, what is approved, and what is overdue can adapt this approach. If you want a straightforward automation that makes work feel lighter, this is a great place to begin. Let’s start building!

I've been running 23 automated AI tasks since January. They process my inbox at 6 AM. Prep my client meetings by 8 AM. Ping me on Telegram when something needs attention. Run health checks across my entire client portfolio. All on autopilot. While I sleep. Two months ago, I showed this system to my newsletter audience. The most common response was some version of: That's incredible. But I can't build that. Fair. My setup took months. Custom PowerShell scripts. Windows Task Scheduler configurations. MCP server integrations. A safe-execution wrapper to kill zombie processes. Not exactly beginner-friendly. This month, Claude shipped 16 product updates in 21 days. 4 of them just made my custom setup available to everyone. No scripts. No configurations. No technical background required. Here's what's now possible: Upload 3,000 pages into one conversation. A full OM, five years of financials, rent rolls, comps, and your underwriting assumptions. All at once. No splitting. No losing context. Schedule AI tasks to run on autopilot. Deal screening at 6 AM. Portfolio rent roll checks every Monday. Lease expiration alerts daily. Set it once, walk away. Control your AI from your phone. Start an analysis at your desk, redirect it from a property tour, get results in the parking lot. One continuous thread that never resets. Get texted when it's done. Your AI finishes a 200-page OM analysis at 2 AM? Telegram ping with the summary. No more checking back every 20 minutes. Claude didn't get smarter this month. It got easier. The technical barrier that separated Level 1 from Level 3 just disappeared. I wrote the full breakdown in this week's newsletter - what each feature does, how to set it up for CRE, and a copy-paste prompt for every use case.