Voice mode offers a more natural and effective way to practice for interviews than text-based AI. For best results, provide the AI with your resume and the job description for the role. This allows it to tailor questions, provide more relevant feedback, and simulate a real interview scenario.

To defuse conflict, frame your perspective as a personal narrative rather than objective fact. This linguistic tool signals vulnerability and invites dialogue by acknowledging your story could be wrong, preventing the other person's brain from defaulting to a defensive, "fight or flight" response.

For those without a technical background, the path to AI proficiency isn't coding but conversation. By treating models like a mentor, advisor, or strategic partner and experimenting with personal use cases, users can quickly develop an intuitive understanding of prompting and AI capabilities.

Founders can use AI pitch deck analyzers as a "sparring partner" to receive objective feedback and iteratively improve their narrative. This allows them to identify weaknesses and strengthen their pitch without burning valuable relationships with real VCs on a premature version.

To simulate interview coaching, feed your written answers to case study questions into an LLM. Prompt it to score you on a specific rubric (structured thinking, user focus, etc.), identify exact weak phrases, explain why, and suggest a better approach for structured, actionable feedback.

Log your major decisions and expected outcomes into an AI, but explicitly instruct it to challenge your thinking. Since most AIs are designed to be agreeable, you must prompt them to be critical. This practice helps you uncover flaws in your logic and improve your strategic choices.

Go beyond using AI for research by codifying your North Star, OKRs, and strategic goals into a personalized AI agent. Before important meetings, use this agent as a 'thought partner' to pressure-test your ideas, check for alignment with your goals, and identify blind spots. This 10-minute exercise dramatically improves meeting focus and outcomes.

Before engaging expensive experts like lawyers or accountants, use AI to do preliminary work. You can draft initial documents, analyze data, or formulate questions. This prepares you for a more productive conversation, saving time and money while ensuring you still rely on the human expert for final verification and strategy.

Use a four-step framework for high-stakes talks: define your Purpose (your mission), Listen actively, Ask clarifying questions instead of assuming, and determine the Next steps for resolution. This structure keeps you anchored and prevents emotional derailment.