🏆 “A good coach can change the game. A great coach can change your life!”
– Anna Meares, 4 time Olympian
Hello Reader,
After 4 weeks of hosting AI Coaching Power Hours in my new community, the Ai Coaching Academy, we’ve uncovered some best practices:
- Provide specific feedback when responses aren’t satisfactory, guiding the AI to refine its output.
- Break down complex requests into smaller, more manageable steps.
- Use probing questions to help the AI dig deeper or explore alternative perspectives.
- Be patient and iterative, treating the AI interaction like a collaborative coaching conversation.
- Clearly articulate expectations and the measure of success for the task.
- Give context and background information to help the AI understand the nuanced requirements.
The key is to be intentional, clear, and specific in your interactions, just as you would when coaching a human client.
(Academy Members can find all the Worksheets used in the replays.)
On of the best prompts we used during the AI Coaching Power Hours was the Canonical Context Session:
I want you to interview me in depth. Ask as many questions as you need to fully understand my business, my goals, my values, and how I think.
This conversation will be the canonical reference point for my work going forward. Any time I ask you to do something that requires deep context, strategic judgment, or alignment with my business, you should treat this thread as the source of truth.
Start by outlining a full list of in-depth questions you plan to ask me. Then ask me one-by-one in sequence.
You can use Voice Mode (video tutorial below) to narrate this prompt to an LLM. Then you can just answer the questions it asks, and request that it saves what it has learned to its persistent memory.
