Reflecting with AI means examining one real situation with a model, then writing down your own conclusion and one next step. The model can help test an interpretation, suggest a question you missed, or put alternatives into words. You decide what is true and what is worth doing.
By Sam Morris, founder of nenspace. Adapted from the original AI reflection guide, first published 19 September 2026.
This practice takes a few minutes. You can use any AI chat and any notebook. In nenspace, a conversation with nen and your logbook live alongside each other, so there is a place to keep what was useful.
What actually happened?
Choose one ordinary event or decision, preferably one with a small, testable next step. Write two sentences about the facts and one about your interpretation. Keep them separate.
For example: “I postponed sending a draft twice” is an observation. “That means the draft must be terrible” is an interpretation. The delay might reflect a genuine problem in the draft, an unclear recipient, or a calendar that got crowded. At this point, you do not know which explanation fits.
If you are working through a decision, record its constraints too. “The deadline is Friday” and “the recipient needs a summary” give the conversation something concrete to work with. A model can respond more usefully to those facts than to a broad request to explain who you are.
What is one useful question to ask AI?
Ask for help testing the interpretation against the facts. This is a sample prompt to adapt, not a recorded model answer:
I postponed sending a draft twice. I think that means it is not ready. What information would help me test that interpretation, and what is one small next step?
A useful answer might identify what you still need to inspect: the draft itself, the recipient's expectations, or the actual cost of sending it now. It might suggest a small action, such as reading the opening aloud or asking someone to check whether the main point is clear. Treat any such suggestion as a proposal to assess, not a verdict.
Read for two possible failures. The model may accept your interpretation too quickly: “Yes, it probably is not ready.” It may also dismiss a real concern without evidence: “You're just overthinking it.” Both skip the work of finding out. Ask which detail supports the answer, correct any invented motive, and provide missing context. AI sycophancy is one reason an agreeable reply can sound helpful while leaving the question untouched. Automatic disagreement has the same problem when the facts call for agreement.
If an answer makes a factual claim that matters to your decision, check it against a source you trust. The conversation is a way to think through the situation, not a substitute for evidence or professional judgment.
What conclusion is worth keeping?
Stop when you can state one conclusion in your own words. It can be provisional: “I have not checked whether the opening is clear, so I will do that before deciding whether to send the draft.” This is more useful than forcing a neat lesson from an unresolved situation.
Record four short lines in a notebook or the logbook:
- What happened?
- What did I assume?
- What will I test or do next?
- When will I check what happened?
In nenspace, you can highlight a useful line to keep it as a note or write your own conclusion in the logbook. Keeping the conclusion distinct from the model's phrasing makes it easier to revise later. A saved note is a record you chose to make; it does not mean every future chat will automatically know the whole context.
What happened after the step?
After you take the step, add one sentence about the result. Perhaps the opening was unclear and you rewrote it. Perhaps the recipient needed only a rough version. Compare that observation with your first interpretation. If the result changes the picture, change the conclusion too.
The value of a reflection is in the clearer question, the action, and the chance to learn from what happened next. You can read real model examples to see how different answers handle prompts that invite agreement. You can also start with nen. For details about conversations and saved material, see the nenspace privacy policy.
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