AI
My professional approach centers on practical prompting, delegation, and mastery. I've spent hundreds of hours learning to use AI as an extension of myself—delegating almost everything while maintaining strong human oversight to ensure quality and innovation.
AI does the work, I set the standards and review outcomes. Here's how I approach prompting, context, and automation for maximum effectiveness.
Philosophy: Be the Master
- AI is an extension of yourself—delegate almost everything, but keep yourself as the master.
- Set clear standards and review outcomes. AI does the work, you ensure it meets your quality bar.
- Don't take it personally if the job isn't done correctly. It's usually a wrong prompt, not the AI. Remember, AI doesn't feel (yet!).
Hands-On Prompting Strategies
- Always ask yourself: "Am I prompting in the right place?" You can usually delegate from a higher level and let AI handle more.
- Don't hesitate to prompt your prompt—ask the AI to improve, critique, or rewrite your instructions.
- Iterate and refine: if the first attempt isn't right, adjust your instructions rather than accepting subpar results.
- Minor typos are fine; clarity and intent matter more than perfection. Don't fix your typos like you would for family.
Context & Delegation
- Provide durable context once (background, glossary, style guide), then reference it instead of repeating yourself.
- Always define success: include a Definition of Done and acceptance criteria for each task.
- Prefer delegation over micromanagement: let the AI propose a plan, then review and adjust.
- Automate review loops: have the AI self-check its work before returning results.
Maximizing AI Capabilities
- Use AI to automate not just coding, but planning, documentation, and quality checks.
- Chain AI tasks together: let one AI output become input for the next task.
- Build reusable prompts and templates for common workflows.
- Focus your time on the human-only parts: strategy, creative direction, and final validation.