Your AI remembered. Is that still what you want?
A helpful assistant can carry an old constraint into a new decision. Ask which version of your circumstances it’s using.

Every display stand on the shortlist fits in your car, which would’ve been reassuring before you hired a van for this exhibition. You scroll past another flimsy folding stand and wonder why the assistant keeps recommending things for the little market stall you outgrew months ago.
In this hypothetical example, a ceramicist asked an AI assistant to help furnish a larger exhibition space. It remembered her explanation from months earlier, when she worked alone, drove a small car and could spend $150. Since then she’s booked transport, recruited a helper and set aside $600, but the old version of the job is still steering the search.
She notices the problem when she starts arranging the room. The stands have saved money at the expense of the display she was trying to build. Before she spends any more, she needs to find out why a conversation about last season’s stall is shaping this exhibition.
Which budget is it using?
If you work with the same assistant regularly, explaining your audience and house style for the twentieth time gets old. Carrying those details forward saves you that repetition, though a budget for one event needs an end date if it’s going to travel with them.
Meta’s October 12 announcement of Muse Wonder puts this capability near the center of its pitch. It describes Active Memory as retaining important context across conversations and retrieving it when it becomes relevant. We’re relying on Meta’s description here; we haven’t tried Wonder ourselves. Wonder is available through Meta’s API and Muse Code; Wonder Full is available to Muse Code subscribers. The announcement says Wonder will reach the consumer Muse experience later, starting with subscribers.
The practical question extends beyond that release: when an assistant brings old information into today’s work, can you see enough of its reasoning to correct the assignment before you rely on the result?
Tell it what carries forward
For the exhibition, the ceramicist can keep the preferences that still matter: pale wood, a modest visual footprint and surfaces that won’t wobble under heavy pots. She can replace the conditions that belonged to the market stall: transport, help and budget.
Her next request might say, “For this exhibition, use a $600 budget and assume I have a van and one helper. Keep my preference for pale wood. Before comparing stands, list any older constraints you’re carrying into the search so I can correct them.”
With the assumptions listed beside the shortlist, she can catch an old budget before it becomes a purchase. She’d still need the product’s controls and documentation to check what the service stores or change its memory settings, and a request like this can’t guarantee that every relevant detail will surface.
Put an expiry on information that has one
Some details come with a natural end: a campaign deadline, this quarter’s budget, a temporary address, someone’s availability next Tuesday. Attach that limit when you provide the detail. “Use this until the exhibition ends on October 25” gives future work a better clue than “This is my budget.”
When a detail has already changed, say which version replaces it and where it applies. “The $600 exhibition budget replaces the $150 market-stall budget for this event” is more useful than an exasperated “I told you that already,” however understandable the latter may be.
You can also ask the assistant to flag a conflict rather than choose a version on your behalf. If both budgets surface, it should ask which one governs this purchase, using the event name and date to explain the ambiguity.
Check the choice that would cost you something
You probably won’t inspect every remembered preference behind a casual brainstorm. Before a purchase, booking or public commitment, though, it’s worth checking the constraints that would change the decision. Ask for the budget, deadline and intended audience beside the recommendation, with any uncertainties marked for your attention.
Back at the exhibition, the ceramicist gets a different shortlist. One stand costs more and needs the van, but supports the taller pieces she wanted to show. She has a reason to consider it now, and enough information to decide whether it earns its place.
She can picture the taller pieces on the new stand, and for the first time the shortlist looks like it belongs in the room she’s booked. That’s the version of her work she wants the assistant to remember.