Artifacts by Databox - Ask your AI Analyst and get back a ready-to-share report
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Turn any conversation with your AI Analyst into a polished report, slide deck, or interactive document built from your live data. Generate it from a single prompt, then share it via public link or download as a PDF.
Replies
ZapDigits
Nice one!
Databox
@malithmcrdev Thanks! Here is the live example of one Artifact in action - no login needed, just open it: https://app.databox.com/shared/artifacts/8cc805b913e00e1c4641a177acf11867
Dial
no rush, honestly the fact that you'd rather confirm than guess on a data-loss question is the right instinct. that's exactly the kind of answer that's worse wrong than late. I'll keep an eye out for the follow up
Databox
@galdayan Appreciate that, and appreciate the patience. Will circle back here as soon as I've got a confirmed answer rather than leave you hanging too long.
The frozen-snapshot answer makes sense. The version I keep hitting is source data that restates after the fact: I generate a June report, share it, then re-trigger the same report in August and June's numbers have moved because an integration backfilled or a metric definition changed. The client sees two different Junes. Does Genie surface that the underlying data shifted between generations, or do you find out when someone asks?
Databox
@alexander_bl Good question, and a real scenario, not a hypothetical one. Straight answer: no, Genie doesn't flag that the underlying data shifted between generations. If a metric definition changes, the original June report is effectively obsolete, it captured the old definition at that point in time. Genie always pulls the latest definition when it generates a report, so a re-triggered report in August reflects current logic, not what June looked like under the old rules. So the two Junes aren't a bug, they're two different snapshots taken under two different definitions. Worth being upfront with clients about that if metric definitions are actively changing underneath a recurring report.
@zigapotocnik That's a clear answer, thanks. The thing that would make it safe for recurring client reports is stamping the artifact with the definition version or an as-of date, so a reader can tell which rules produced the numbers instead of having to remember. We ended up doing that for point-in-time data because "why did last quarter change" was otherwise unanswerable.
BetterClaw
the deterministic math engine is the line that actually matters here. we've all had a general chat tool confidently miscalculate a metric in a report and not know until a client caught it. computed-not-guessed is the thing that makes this trustable for numbers that go out the door.