Use AI to Audit Your Month Before Planning the Next One

Your email and calendar already contain a usable record of much of the month you actually had. Use that activity to review where time went, what deserves more attention, what consumed time without enough value, and what should change next month.

You probably already have a record of where a lot of your time went last month.

It is sitting in your email, your calendar, and your meetings.

The useful move is not asking AI for generic productivity advice. It is giving AI the record of the month you actually had, then using that review to decide what changes next month.

The Monthly AI Review

At the end of the month, have the AI platform you use review the email and calendar activity it can access from the previous month.

Then work through four questions.

1. What did I spend my time doing?

Start with an inventory. Have AI group the month into the recurring work, meetings, conversations, follow-ups, and projects that actually consumed your attention.

You are not asking it to fix anything yet. First, you want a clearer picture of what the month contained.

2. What should I double down on next month?

Now turn the review into a decision. Look at the work that deserves more of your attention and ask what should get more time next month.

The point is to stop planning the next month from memory alone. Use the activity from the previous month as the starting point.

3. What wasted my time?

Ask AI to identify work that kept appearing but did not deserve the amount of time it received.

This is where the review becomes useful. You are looking for repeated activity that made the month busier without making it better.

4. What should I eliminate next month?

Take the low-value patterns from the previous answer and decide what should be removed or reduced in the following month.

Then repeat the review at the end of the next month.

A Prompt You Can Use

Review my emails, meetings, and calendar activity from the past month. What did I spend my time doing? What should I double down on next month? What wasted my time? What should I eliminate next month?

If the answer is too broad, ask AI to show the categories or recurring activities that led it to each conclusion.

Why This Workflow Is Practical

This is not a hypothetical use case. OpenAI’s own Google Calendar plugin documentation includes an example that analyzes the previous four weeks of meetings, summarizes how time was split, and suggests changes.

ChatGPT apps can also connect to external tools and information, including Google services such as Gmail and Calendar, subject to the plan, permissions, and workspace configuration being used.

That capability is what makes this workflow possible: the AI can review the work record instead of relying only on whatever you remember to type into a prompt.

What the Research Supports

The strongest claim here is about the review process, not a guaranteed outcome.

Research has found an association between time management and wellbeing, including lower psychological distress. A 2021 meta-analysis reported that time management was more strongly related to wellbeing than to performance.

At the same time, a 2026 systematic review of workplace time-management interventions found the experimental evidence for improving wellbeing was still limited and inconsistent.

So the right way to state the payoff is the way Jeff Fargo states it in the video: the goal is to become more efficient, create more time for yourself, and reduce the likelihood of burnout. That is the intended result, not a guarantee.

Sources

OpenAI: Google Calendar plugin — includes a four-week meeting-analysis example that summarizes time allocation and suggests changes.
OpenAI Help Center: Apps in ChatGPT — explains how ChatGPT can connect to external tools and information.
OpenAI Help Center: Google App for ChatGPT Data Controls FAQ — documents connected Google services including Gmail and Calendar.
Aeon, Faber & Panaccio: Does time management work? A meta-analysis — reviews the relationship between time management, performance, and wellbeing.
Young et al.: Do time management interventions support wellbeing in the workplace? — a 2026 systematic review finding limited and inconsistent experimental evidence.

Jeff Fargo is the founder of Fargo Factor and helps business owners streamline and scale their businesses using AI.

A useful AI workflow starts with real business data

This works because the review is tied to the work record you already created. Fargo Factor helps business owners identify where AI can create that kind of leverage across real workflows instead of adding another disconnected tool.

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