Buying decisions combine facts (specifications, prices, compatibility) with judgment (what matters to you). A single AI answer tends to blur the two, and a confident recommendation can hide the assumptions behind it. A better use is to ask for a structured comparison, then check the facts that decide it.
The kind of question this suits
- "Should I get a heat pump or a gas furnace for a 1960s house in a cold climate?"
- "Which of these three laptops fits video editing on a budget?"
- "Is a standing desk worth it for someone with back pain?"
- "Which project-management tool suits a five-person team that mostly works in documents?"
These are questions with a factual core, a lot of personal context, and several defensible answers.
How to ask
State your situation, your constraints and what you care about, then ask for criteria, trade-offs and what would change the recommendation. A prompt from the prompt library works well:
Compare [option A] and [option B] for someone who [situation]. Use a table with criteria, what each does better, what each does worse, and one thing that would change the recommendation. Say where the evidence is thin.What Keplar adds
For a question like this, Keplar's classifier rates it as moderate or complex, so a panel of models from different families answers it. You get one written answer plus a Consensus section showing how many models held which position, and, if they split, a Disagreements section. Where models disagree about how to weigh a factor, that is useful to see: it points at the judgment call that is yours to make.
A reviewer reads the draft against the individual responses and can remove a claim the responses do not support. The final answer weighs evidence rather than counting votes.
What you still have to do
Keplar does not look up live prices, stock or reviews, and does not open the sources models mention. Any specification, price, warranty term or compatibility claim that decides the purchase should be confirmed on the manufacturer's page or at the retailer, and you should write down the date you checked.
A simple routine:
- Ask for the comparison and read the Disagreements section first.
- Pull the three facts that would change your choice.
- Verify those on official pages.
- Ask a follow-up with the verified facts included to see whether the recommendation changes.
Limits worth knowing
Models can be out of date about recent product releases. They may know a product's marketing claims better than its real-world reliability. And they cannot know your preferences unless you say them. If a decision costs a lot or is hard to undo, treat the answer as research, not as a recommendation.
Related
Learn how panels are formed in which questions use more models, and see how to check an AI answer.