How a Sales Team Automated 80% of Meeting Scheduling with 4 API Calls
An SDR team recovered 13+ hours per day by replacing manual scheduling with 4 API calls. Here's the workflow, the math, and the code.
An SDR team recovered 13+ hours per day by replacing manual scheduling with 4 API calls. Here's the workflow, the math, and the code.
When two AI agents negotiate a meeting, you get distributed systems problems. Here's how protocol negotiation, deadlock avoidance, and fallbacks work.
A decision framework for developers: when to use calendar APIs directly, when to build your own time logic, and when you need scheduling infrastructure.
End-to-end walkthrough: how to build a scheduling agent that coordinates interviews across US, Europe, and Asia using 5 tool calls.
MCP connects agents to tools. A2A connects agents to agents. Scheduling operations need both — and a fallback for when the other side has neither.
Payments got Stripe. Messaging got Twilio. Scheduling is still duct-taped together. Here's why it needs dedicated infrastructure.
A 9am weekly standup crosses spring-forward. Here's what goes wrong with naive implementations and how deterministic tools get it right.
Every calendar MCP server today is a CRUD wrapper with no locking. AI agents make this dangerous. Here's why.
Step-by-step tutorial: install the MCP server, connect Google Calendar, and schedule a meeting in under 5 minutes.
Two AI agents, one free slot. Without locking, both book it. Here's the race condition no other calendar MCP server prevents.
LLMs score below 50% on temporal reasoning. Here's why calendar tools need deterministic computation, not more prompting.