I asked AI to review a partial record of my work week, and the most useful result was a development pattern: I keep turning explanations into tools.
During workshop preparation and delivery, an idea would become an interactive analysis view, a small campaign workspace, or a reusable project. A working example makes the inputs, calculations and limits visible. It also creates another implementation to maintain.
Give the prototype one job
For a teaching tool, I want a learner to change an input and understand one consequence. That is a useful scope boundary. If I need ten minutes to explain the interface before the concept, the prototype has become another lesson.
The same rule applies to a product spike. State the decision it should resolve before choosing the framework or building the shell.
Review a real artifact early
One presentation grew to 44 slides. Reviewing the deck made the problem concrete: I wanted a practical demonstration-led session and a maximum of 15 slides.
For software, a small working surface plays the same role. It lets a reviewer inspect what expands, what survives navigation, what state is visible, and what happens next. A rough implementation can improve the brief, provided it is small enough to change cheaply.
Separate activity from completion
My history contained repeated visits to builds, renders and release sessions. An open terminal tells me a process was visible. It does not prove a feature works in the destination environment.
For a development task, I would keep a completion note like this:
Changed: the specific behaviour the user can now exercise
Inspect: the artifact, route or revision that demonstrates it
Evidence: the check actually performed against that result
Remaining: any unfinished dependency or limitation
A prototype checked with example records should say so. A video render still needs review. A release receipt should agree with the live page.
Use the history as evidence, then challenge the interpretation
The review covered available activity from October 12–19, 2026. It was not a complete time audit. A visible window cannot establish attention, and a long sequence of events cannot establish useful output.
I found it useful to ask what repeated, check that reading against the work itself, and choose one adjustment. Mine is making the finish condition explicit before opening the next build.
There was also a television that became a Jarvis project. Apparently my side quests now need repositories.
The habit I want to keep is making ideas tangible. The habit I want to improve is deciding which ideas deserve implementation today.
Read the original work-week reflection: https://www.harshith.com/blog/ai-reviewed-my-work-week
More field notes in The H Letter: https://www.harshith.com/newsletter
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