Use a master AI prompt for performance reviews that synthesizes multiple inputs: quantitative performance data, the employee's written self-reflection, and your own context. For each review question, the AI generates a manager's opinion, a response to the self-reflection, and targeted areas for improvement.

Employees can be defensive when receiving critical feedback directly from a CEO. By framing the feedback as an output from an objective AI analysis, the conversation becomes less confrontational and more focused on data, leading to better receptiveness and outcomes.

An AI agent with access to work product can serve as an impartial manager. It can analyze performance quantitatively, like a sports coach reviewing game tape, and deliver feedback without the human biases, office politics, or emotional friction that complicates traditional performance reviews.

A powerful and safe use of AI for managers is not to generate performance reviews, which can feel impersonal, but to perform 'agentic search.' The AI can pull context from code, Slack, and documents to highlight employee wins and contributions that a manager might otherwise miss, especially as individual output increases.

By feeding meeting transcripts into a custom AI system, an executive gets daily, specific feedback on his performance goals (e.g., not jumping to solutions). This creates a continuous accountability loop, making formal performance reviews more actionable and impactful.

Don't let performance reviews sit in a folder. Upload your official review and peer feedback into a custom GPT to create a personal improvement coach. You can then reference it when working on new projects, asking it to check for your known blind spots and ensure you're actively addressing the feedback.

To improve his management style, Wilkinson uses an AI tool to refine his communication. He can dictate his raw, unfiltered thoughts about an employee's performance, and a prompt called "a good boss" rephrases it into a toned-down, mature, and effective message.

Instead of spending hours agonizing over how to deliver constructive criticism, Lindsay Carter used AI. She inputted her concerns for a new assistant and prompted the AI to act as an expert. It generated a clear, structured, and helpful email in five minutes, demonstrating AI's power for improving leadership efficiency and communication.

Amol Avasare uses Claude to generate weekly feedback from the perspective of his manager. He instructs the AI to analyze his manager's public writing and internal communications to create a model of her priorities and style, then asks it to evaluate his week's work and provide feedback as if it were her.