Yes — But Keep It Simple
Taking notes on your AI experiments is one of the highest-return habits you can build as a beginner. Not because you need a formal system, but because the patterns that make AI useful are specific to your work, your audience, and your prompting style — and they are easy to forget without a record.
A simple note does not need to be elaborate. Even a one-line note like "Asking for 3 variations works better than asking for 1" is useful information you would have to rediscover otherwise.
What Is Worth Noting
Prompts that worked well. The exact wording matters more than you might think. A prompt that gets a great result one week might get a mediocre one the next if you restate it differently. When a prompt works well, save it exactly as written.
Use cases where AI saved real time. Specific tasks, not vague observations. "Used AI to write five module descriptions in 30 minutes instead of two hours" is useful. "AI was helpful today" is not.
Use cases where AI failed. Knowing where AI consistently underperforms for your specific work saves you from wasting time repeating the same failed experiment. If AI cannot handle your niche topic well, that is important to know.
Edits you made to AI outputs. If you find yourself making the same types of edits to every AI response — always shortening it, always adding warmth, always removing the bulleted list it keeps adding — those patterns tell you what to include in your prompts upfront.
A Minimal System That Works
Create a Google Doc or Notion page with two sections:
- Prompts that work — save the exact prompt text and a short note about what it produces
- What to watch out for — patterns where AI consistently underperforms for your use cases
Add to it as you go. Even five minutes of notes per week will compound into a genuinely useful personal playbook within a month.
The Deeper Value
As AI tools evolve rapidly, your notes become a record of your own learning curve. They also make you faster at training other people — a team member, a virtual assistant, or a future student — on how to use AI effectively for your type of work.