PERSONAL PRODUCTIVITY

Calendar Fragmentation Weekly Diagnostic

Once a week, scores how fragmented next week's calendar is, identifies the worst days, and writes a Notion report with concrete consolidation recommendations.

CategoryPersonal Productivity
Enginepaperclip
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires before upcoming week
  • ActionRead next week's events from Google CalendarGoogle CalendarGoogle Calendar
  • ActionDraft consolidation recommendationsOpenAI
  • ActionAppend dated diagnostic page to NotionNotionNotion
  • LogicBranch only if fragmentation exceeds threshold
  • OutputAlert Slack when week is over-fragmentedSlack

What it does

This workflow analyzes the upcoming week's calendar and computes a fragmentation score based on how many meetings break up otherwise-usable focus windows. It writes a structured diagnostic to Notion ranking your worst days and suggesting which meetings to batch or move. It only interrupts you in Slack when the week is genuinely over-fragmented.

When to use it

Use it for a weekly planning ritual where you want a clear, written read on how protectable next week is before it locks in. Good for people who review their week on Friday or Sunday and want data, not vibes.

How it works

  1. 1A weekly schedule fires ahead of the coming week.
  2. 2The workflow reads all of next week's events from Google Calendar.
  3. 3It computes per-day fragmentation and largest-contiguous-block metrics.
  4. 4An agent drafts plain-language recommendations: which meetings to batch, which days to defend.
  5. 5It appends a dated diagnostic page to a Notion database.
  6. 6A decision step posts to Slack only if the week's score exceeds your alert threshold.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google CalendarEvents, attendees, availability.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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