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

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

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

6 Workflows that are getting automated in HR using Agents - PART 1 WORKFLOW 1: Hiring, Filtering & Screening Problem Statement: 1) Recruiters spend hours manually screening resumes. 2) Interview scheduling is tedious and error-prone. 3) Lack of intelligent insights for candidate ranking and fitment. How AI Automates Hiring: From Resume Filtering to Interview Scheduling It all begins when a hiring manager defines the job requirements. The first AI in the process, the Candidate Matching Agent, analyzes this JD and checks if there are suitable candidates already available within the company’s internal talent database. If an internal match is found, those candidates are immediately sent forward for further screening. If not, the agent expands its search to external resume databases, ensuring that the best potential candidates are considered. Once a list of external candidates is identified, their resumes and application details are passed to the Candidate Screening Agent. This agent goes deeper—analyzing work history, skills, and qualifications to determine whether candidates meet the job's core requirements. Those who pass this step are marked for follow-up, while others are filtered out automatically. At this stage, candidates may also be sent a preliminary questionnaire to collect additional information that might not be present in their resumes, such as work preferences, availability, or salary expectations. After this initial filtering, the AI Interview Scheduler Agent takes over. This agent sends out a personalized pre-screening questionnaire and, once responses are received, automatically books interview slots based on both recruiter and candidate availability. The next step is a phone screening, which is handled by an AI Phone Screener Agent. This agent conducts a structured conversation with the candidate, assessing their communication skills, relevant experience, and overall fit for the role. The AI evaluates their responses and generates a detailed candidate report At the very end of this workflow, the AI Generated Candidate Report provides a full breakdown of the process, ensuring transparency and helping hiring managers make the final call. By the time a recruiter steps in, they aren’t drowning in resumes or playing phone tag with candidates—they’re reviewing pre-vetted, high-quality talent that’s ready to move forward. This seamless transition from one AI agent to another means that what used to take weeks can now be done in days, if not hours. Here's a tech stack. - LLM: GPT-4 for resume parsing & candidate matching - ATS Integration: Workday, Greenhouse, Lever - Scheduling APIs: Google Calendar, Outlook - Vector Database: Qdrant for resume retrieval and matching - Memory Modules: Short-term, Long-term - Agent Framework: Built using Lyzr AI’s Agent API - Agents: AI Resume Screening & Parsing, AI-driven Candidate Scoring, Automated Interview Scheduling #HRAgents

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!