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It's the end of the month. Your client needs a performance report, so you open five tools, screenshot the numbers, paste them into Google Slides, and spend two hours making it look like you didn't just paste screenshots into Google Slides.
We just made that whole process unnecessary.
I find this release shows how adaptable and mature Databox is becoming as a company. It already has a pretty sophisticated Databoards feature that has been polished to be pixel-perfect over the years. When users shared data outside of Databox, they shared those Databoards. And we made sure they always made an impression. That they always looked Databox-ish. Years were spent improving them. Loud conference room meetings were spent over positioning pixels on them. It was something we were proud of, and, of course, still are.
Today, we handed some if that control over to our customers through AI (Genie). Building what they share with the outside world. The Artifacts still look Databox-ish, colleagues made sure of that. And it does come with lots of upsides - building Artifact with a prompt is way faster than placing and configuring blocks on a Databoard, plus AI has a lot of knowledge built-in. But still, we had to let go of some of the control we had over what can be shared. What carries our logo.
At the end of the day, that's what customers wanted. And that's what "bites" in today's fast-paced world. Adapting to that need, while knowing it might cannibalise our own prized feature.
That has to mean maturity.
GG Team!
Databox
@aljaazm This sums up the tradeoff better than I could have. We spent years making sure anything shared out of Databox looked polished and unmistakably ours, and handing that pixel-level control to a prompt was the harder internal conversation than any technical build. Landed on "still look Databox-ish, just faster to get there" as the line we were comfortable with. Appreciate you putting it this way, GG team indeed.
Databox
One implementation detail I'm particularly happy with is how Artifacts evolve through a conversation.
When Genie generates a report, you don't have to start over if you want something different.
Need another section? Just ask.
Want a different chart? Ask.
Need to adjust the branding for a client? Ask.
Those kinds of changes happen directly on the existing artifact, so you're refining what you've already built instead of starting from scratch.
For bigger transformations, like turning a report into a slide deck, Genie creates a new artifact while keeping the original report intact. Both versions are available to share, and because they're built from the same connected data and conversation, you don't lose the context that got you there.
We didn't want AI to feel like a series of disconnected prompts. We wanted it to feel like working on a living document that evolves with you.
This is the part of the job I've spent years fixing manually.
Reporting systems that actually get used are rare, most of them just create more work downstream. Being able to ask for a report and get back something client-ready, built on the live data, is the direction this space needed to go. Excited to see how agencies and marketing teams use this to stop rebuilding the same deck every month.
Databox
@lexi_morgan That's exactly the pattern we kept seeing too, reporting systems that generate more work than they save. The bar we held ourselves to was: if it doesn't end in something you'd actually hand to a client without touching it first, it doesn't count. Would love to hear how it holds up once you try it on a real client report.
Marketing analytics person here — the biggest benefit of this is not being the human BI layer anymore. You can ask for a report and get something narrative-ready back. And it's based on verified data (something that really matters but many marketers forget about). Super useful!
Databox
@carmenstrelec The "human BI layer" line is a good way to put it, that's the exact job we were trying to take off people's plates. And you're right that the data part matters more than it sounds, since a narrative-ready report is only useful if the numbers under it are the ones your team already trusts.
Databox
One thing I'd add from the marketing perspective: the most useful thing about Artifacts is that it closes the "I have an answer" to "I have something shareable" gap.
For example, ask the AI Analyst to build you a report or deck, and it does so using your real data. Then you can hand it off via public link or PDF and there's no login needed on the other end.
I know this is HUGE for anyone who's ever had to rebuild the same client report by hand every month, and it's a great way to add a supporting doc to your quick answer. Happy to answer questions if useful!
Databox
The problem with most AI generated reports is you still have to check them before sending, since the AI didn't actually see your numbers. Artifacts skips that step because Genie pulls straight from your connected data. I asked for a quick performance overview for a stakeholder update and the numbers matched the dashboard exactly, because it's the same data.
I tested this by asking Genie for a report, then asking it to turn that same report into a slide deck. Same data, same analysis, different format, one follow-up prompt. That's the kind of thing that used to mean rebuilding the whole thing in a different tool. Here it just carried over.
Databox
@tadej_kelc That follow-up prompt trick is honestly my favorite part too. No re-uploading data, no rebuilding charts in a new tool, just "turn this into slides" and it carries the whole analysis over. Glad it held up when you tried it yourself.