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A manager at OpenLoop prompts his AI daily with the challenge: "figure out ways to make myself 1% better today." This shifts the use of AI from a purely reactive task-execution tool to a proactive, personalized coach that suggests incremental improvements based on a holistic view of your work.
By default, AI models often provide positive reinforcement. To unlock their true value, leaders should use custom instructions to program their AI to act as a challenging strategist. Feed it core principles and prompt it to critique ideas and push for bigger thinking.
Treat your agent as a productivity coach by asking it meta-questions like "What have I been procrastinating on?" or "What tool can you build me tonight?". The agent uses its memory of your tasks and habits to proactively suggest improvements and automations.
Instead of disparate tasks, unify your personal AI's purpose around a single goal: closing the gap between your documented current reality and your articulated ideal life. The AI then becomes a proactive system for navigating this transition and facilitating self-improvement.
Treat AI not just as a tool, but as a meta-tool that can teach you to improve your own usage. Regularly asking prompts like "How could I be using you better?" or "What questions should I be asking?" can reveal new capabilities and refine your prompting skills.
Configure automations to have your AI send you daily briefings. Based on content you've recently saved, it can proactively suggest business strategies or creative ideas. This transforms AI from a tool you must constantly prompt into an autonomous agent that actively contributes to your goals.
Don't limit an AI agent to tasks you can already imagine. After providing full context on your work, ask it open-ended questions like, “How can you make my life easier?” This strategy of “hunting the unknown unknowns” allows the AI to suggest novel, high-value workflows you wouldn't have thought to request.
Don't just give AI a task; give it a job title. Prompting it to act as a "calorie tracker" or "critical mentor" transforms generic advice into personalized, role-specific guidance that actively helps you achieve your goal, rather than just providing abstract information.
By 'brain-dumping' daily thoughts, accomplishments, and struggles into your AI system, you transform it into a personalized coach. The AI cross-references your journal entries with your entire knowledge base to provide tailored advice grounded in content you already trust, making its guidance highly relevant.
Instead of guessing where AI can help, use AI itself as a consultant. Detail your daily workflows, tasks, and existing tools in a prompt, and ask it to generate an "opportunity map." This meta-approach lets AI identify the highest-impact areas for its own implementation.
Instead of manually maintaining your AI's custom instructions, end work sessions by asking it, "What did you learn about working with me?" This turns the AI into a partner in its own optimization, creating a self-improving system.