Some decisions are hard to examine in a long text. You want to change an assumption, compare two alternatives or see which information is missing. A simple interface built with AI can make those relationships visible and give the conversation a shape you can experiment with.
Features like Claude's Artifacts produce deliverables you can open and edit next to the conversation. For leadership, the interest lies in what this format helps you understand.
Turn a question into something you can manipulate
A team is choosing between three venues for an event. The rental price is known, but transportation, accessibility and facilities vary. A screen can bring the data together, allow notes and show the fields still missing information.
The interface should reveal its assumptions. If it calculates a total cost, it shows what went into the calculation. If it ranks the options, it explains the criteria. A ranking without that transparency gives a hidden preference the look of precision. You can also start without scores: putting the differences side by side already helps you see what deserves discussion.
Check the behavior, not just the look
Change one piece of information and see where it shows up. Leave a field empty. Add an option that does not fit the pattern. These checks show whether the screen keeps the meaning of the data. Before sharing it, someone needs to be able to rebuild a result from the sources, and it should be clear who has access and which data is visible.
When you ask for an interactive deliverable, describe the question it needs to help answer. In AI Thinking by Dani Hayoshi, the value of an interface lies in the understanding it creates for the next choice. See also How to use AI at work.
Dani Hayoshi is the author of AI Thinking. Her work connects artificial intelligence, education and entrepreneurship. About Dani.