This is Season 14, Episode 10 of the ChatGPT Masterclass. In the previous episode, we explored how to keep your leadership team informed with AI-generated decision summaries—without holding yet another meeting. Today, we’re talking about when to skip the meeting entirely—and how to replace it with a simple, accurate AI-generated report.
Meetings are expensive. They take up time, energy, and focus. And too often, they result in discussions without decisions. But many of these meetings don’t need to happen at all. They can be replaced by structured updates prepared by AI, so your team can stop talking and start acting.
By the end of this episode, you’ll know how to recognize when a meeting can be replaced with an AI report, how to create that report using ChatGPT, and how to distribute it in a way that keeps everyone aligned and accountable.
Step 1. Identify Which Meetings Can Be Skipped
Not every meeting can or should be replaced. But many status updates, check-ins, and planning syncs are good candidates.
Here’s a quick test. Ask yourself:
Is this meeting primarily about sharing updates?
Does it lack a clear decision to be made?
Are the same topics discussed repeatedly?
If yes, you can likely replace it with an AI-generated report.
You don’t need a whole leadership call just to say sales are on target or that the campaign is still running. Replace that meeting with an AI summary that gives everyone the information they need.
This is Season 14, Episode 10 of the ChatGPT Masterclass. In the previous episode, we explored how to keep your leadership team informed with AI-generated decision summaries—without holding yet another meeting. Today, we’re talking about when to skip the meeting entirely—and how to replace it with a simple, accurate AI-generated report.
Meetings are expensive. They take up time, energy, and focus. And too often, they result in discussions without decisions. But many of these meetings don’t need to happen at all. They can be replaced by structured updates prepared by AI, so your team can stop talking and start acting.
By the end of this episode, you’ll know how to recognize when a meeting can be replaced with an AI report, how to create that report using ChatGPT, and how to distribute it in a way that keeps everyone aligned and accountable.
Step 1. Identify Which Meetings Can Be Skipped
Not every meeting can or should be replaced. But many status updates, check-ins, and planning syncs are good candidates.
Here’s a quick test. Ask yourself:
Is this meeting primarily about sharing updates?
Does it lack a clear decision to be made?
Are the same topics discussed repeatedly?
If yes, you can likely replace it with an AI-generated report.
You don’t need a whole leadership call just to say sales are on target or that the campaign is still running. Replace that meeting with an AI summary that gives everyone the information they need.

This is Season 13, Episode 8 of the ChatGPT Masterclass: AI Skills for Business Success.
In the last episode, we explored how to track departmental execution of strategic goals using AI. We discussed how to define execution metrics, automate data collection, and generate AI-powered execution reports.
Today, we’re moving into an area that is often disconnected from strategy but is critical for ensuring alignment—AI for performance reviews and strategy-driven employee feedback.
Traditional performance reviews are often generic, time-consuming, and disconnected from actual strategic priorities. AI can help make them more data-driven, personalized, and aligned with company goals.
By the end of this episode, you’ll know how to use AI to track employee performance, generate strategy-focused feedback, and create continuous, real-time performance coaching without unnecessary meetings.
Step 1: Define Performance Metrics That Align with Strategy
Most performance reviews focus on individual productivity metrics but fail to connect employees’ work to business strategy.
For AI to assist in performance reviews, you need to define what success looks like in a way that is measurable and relevant to company goals.
For example, if the strategic goal is expanding into a new market, employee performance should be measured based on how their actions contribute to this goal.
AI can help generate strategy-aligned performance metrics: