In a remote environment, immediate access to colleagues isn't always possible. A GPT loaded with context about your company and cofounders' thinking can act as a thought partner, helping you overcome the "blank slate" problem without scheduling a meeting.

After testing a prototype, don't just manually synthesize feedback. Feed recorded user interview transcripts back into the original ChatGPT project. Ask it to summarize problems, validate solutions, and identify gaps. This transforms the AI from a generic tool into an educated partner with deep project context for the next iteration.

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.

The most efficient delegation method is using your voice, which is 2-3 times faster than typing. By sending voice notes to an assistant between meetings to capture takeaways and action items, you can process work in real-time and prevent tasks from accumulating into a daunting end-of-day list.

A powerful workflow is to explicitly instruct your AI to act as a collaborative thinking partner—asking questions and organizing thoughts—while strictly forbidding it from creating final artifacts. This separates the crucial thinking phase from the generative phase, leading to better outcomes.

Because AI agents operate autonomously, developers can now code collaboratively while on calls. They can brainstorm, kick off a feature build, and have it ready for production by the end of the meeting, transforming coding from a solo, heads-down activity to a social one.

The high-volume feedback during a mastermind "hot seat" can be overwhelming. A simple solution is to record the audio, run it through an AI transcription service, and generate a structured document. This creates an actionable summary, ensuring valuable insights are captured and not lost after the event.

To effectively leverage AI, treat it as a new team member. Take its suggestions seriously and give it the best opportunity to contribute. However, just like with a human colleague, you must apply a critical filter, question its output, and ultimately remain accountable for the final result.

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.