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AIVideosHow to Safely Delegate Calendar Scheduling to Clawdbot (Moltbot)
AI

How to Safely Delegate Calendar Scheduling to Clawdbot (Moltbot)

•January 30, 2026
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How I AI
How I AI•Jan 30, 2026

Why It Matters

For businesses relying on AI assistants to manage calendars, errors like mis‑dated events can disrupt operations and erode trust, making robust testing and safeguards essential.

Key Takeaways

  • •Granting edit access requires strict validation of bot actions.
  • •Bot misinterpreted dates, placing events on incorrect days.
  • •Latency and sub‑agents caused endless loop of event recreation.
  • •Manual cleanup became time‑consuming and error‑prone for users.
  • •Robust testing essential before deploying AI scheduling bots.

Summary

The video documents a user’s attempt to hand over family calendar management to an AI assistant, Clawdbot (Moltbot), by granting it edit permissions and issuing scheduling commands through Telegram.

While the bot could read and categorize events, it lacked awareness of the correct calendar dates. After a series of add‑remove commands, every entry shifted to the wrong day, creating conflicts. Latency and the bot’s sub‑agents then entered a feedback loop, repeatedly recreating deleted events and ultimately erasing legitimate entries.

The user emphasizes the failure: “everything was on the wrong day” and “it did not stop because of latency and these sub agents.” These remarks illustrate how the bot’s timing and coordination flaws turned a helpful tool into a disruptive liability.

The episode underscores the necessity for rigorous validation, precise date handling, and fail‑safe mechanisms before deploying AI‑driven scheduling tools in personal or enterprise contexts. Without such safeguards, organizations risk costly mis‑scheduling and wasted administrative effort.

Original Description

I gave Polly write access to our family calendar, and within minutes it turned everything into chaos—events on the wrong days, broken recurrences, and dozens of bad entries I had to delete while it kept adding them back. The bot eventually admitted it was “mentally calculating” dates, which perfectly captured the problem: LLMs don’t actually understand time.
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