Leave the experiment with a useful note.

A prototype can disappear into a folder without ever technically being abandoned. The code is still there. The branch still exists. The reason behind it becomes harder to remember.

A short note can preserve the useful part even when the build stops.

Not a polished announcement. Not a retrospective that turns every detour into a success. Just enough context for someone, including your future self, to understand what you were trying to find out.

Write down the question before the result

Consider a hypothetical experiment in organizing saved links. The original question might be whether suggesting three topics would help someone choose a place for a new article.

That is more specific than “try AI tagging.” It describes a moment in the experience and leaves open the possibility that the idea will not help.

Record what a useful result would look like. Perhaps the person can make a choice without reading a long list of labels. Perhaps the suggestions need so much correction that a simple manual control would be better.

Defining the question early makes it harder to replace it later with whichever part of the demo happens to look good.

Keep observation separate from interpretation

For that experiment, the note could record which inputs were tried, what suggestions appeared, where a person hesitated, and what they chose to change. Keep a few representative examples, with permission and without unnecessary private information.

Then write the interpretation separately. Did the labels appear too broad? Was the interface unclear? Were the examples too similar to tell you much?

Do not turn a small informal check into a claim about everyone who might use the product. A useful note can say that the result is encouraging but narrow, or that the setup did not answer the question yet.

Uncertainty is part of the record, not a blemish to remove before sharing it.

Preserve enough to revisit the decision

Include the conditions that could matter later. For a model-assisted prototype, that might be the model identifier, prompt version, representative input, and how the result was judged. For an interface experiment, it might be the screen state, device size, and interaction being tested.

A screenshot can show the arrangement. A short clip can show timing. A link to a specific commit can identify the code. Choose the smallest record that makes the observation understandable.

Avoid keeping secrets or private source material simply because a complete log is easier to generate than a considered one.

End with a decision, not a victory lap

The next step might be to refine the idea, try a simpler approach, pause it, or stop. Explain why that choice follows from what you observed, and name what would make you reconsider it.

For the saved-links example, a sensible next step could be to improve the manual organization flow before testing suggestions again. That is a useful result even though it does not lead to a new AI feature.

This kind of record gives Lab Notes a purpose beyond announcing releases. It makes room for the questions and decisions behind the work.

Not every experiment needs to become a product. Leaving a clear note means the time spent exploring it does not have to disappear with the last open browser tab.