Every analytics agent lives or dies on one question: "Do your numbers match the report I already trust?"
When they don't, no one cares why. The tool just doesn't get used.
Reconciling is brutal. You're chasing filters, joins, time grains, definitions, weird edge cases someone added two years ago and never wrote down. It takes hours (I’ve spent way too many weekends on this…).
Now, as part of Zoë’s self-learning ability, she can do it herself!
Drop a screenshot of any report into Zoë: a Tableau dashboard, a Looker look, an old spreadsheet, a slide from last quarter's board deck. Tell her to match the numbers.
She reads it, takes a swing, compares her answer to yours, figures out where the gap is, updates her own context, and tries again. Until everything ties.
Then she saves what she learned, so the next related question already has the right context.
Seeing this in beta was one of the biggest “I can’t believe AI can do this so well” moments for me.
Check out how it works →
It's way too difficult to see the context your agents are working with when you have to go to a different screen to see it.
I constantly find myself going back and forth between the agent's context and its answers to make sure that I'm giving it the right information so that it can answer my questions well.
Browser tabs are flying everywhere, and it ends up being a complete mess.
And now with Zoë’s ability to edit her own data model, the use case for seeing that context changes. It’s more important than ever to see the context from the agent's perspective, so you know exactly what is happening.
As part of Zoë's new self learning capability, we’re launching our upgraded context manager, which makes viewing the context for Zoë (our AI data analyst), easy and instant.
This one is going to see some great improvements over the next few weeks and months as well. We’re still figuring out the best ways for humans to work on shared context with agents!
For now, you don't have to worry about being taken out of your flow of working with the agent to see what it sees.
Have ideas for how you’d like to see this info? Let me know in a comment!
Note: Context manger will only appear if you have a Develop role or higher.
What's the number one problem with analytics agents?
Setting up an AI analytics agent has been our #1 sales objection and the #1 reason that companies pump the brakes and say, “Maybe after our data engineering project.”
Messy data, missing context, no clear place to put any of it. We knew it. We've been heads down fixing it. Now, we're shipping the solution.
Today, we handed the reins over to Zoë.
She's incredibly capable, and instead of a human having to go back and forth reasoning about why the numbers aren't matching and how to prompt her differently, Zoë can now do that entire loop end-to-end.
In all of our testing she does a better job than any human (us included) at learning a new environment and making sense of messy data.
Customers are loving it so far, too! One Fortune 500 customer put it best: “This is now magic, and all the joins it created in a few seconds would have taken me hours to do manually.”
This feature was frankly just too exciting to keep to ourselves. That's why we're launching our self-service experience with Zoë, trained to set herself up for you.
Hop in. Try it. Upload one of your existing reports and tell Zoe to set herself up!
Zoë is our AI data analyst, and her artifacts (pptx, excel, and interactive dashboard results) have been a massive hit!
But nearly all of our customers complained about the same problem with artifacts when we launched them…
With such a rich visual result, it was really hard to see what data was actually used, and how the agent used it. It actually made the QA process to confirm the artifact was what you wanted much more difficult.
Today we're solving that! We've added citations to artifacts so that (in one click) for every beautiful output Zoë makes for you, you can see all the different queries that she used and how she's used them in the result.
I'm really excited about this and how we’re making it even easier to check which data is driving your artifacts →
I often find myself wishing that Zoë could find and iterate on my artifacts without me having to find the artifact first, and now she can!
You can ask Zoë about any artifact you have access to, or paste the link in and she can search across all your artifacts and find it for you.
She can show it to you, edit it, or update it with new or different data. Whatever you want.
I love this feature because it gives Zoë more and more agency (pun intended) over how she works with artifacts and it gives me fewer things I have to remember.
This is how that works →
One of the things I’m most excited about with our Artifacts launch is publishing.
Here’s how it works: you ask Zoë a question, she builds you an analysis, and now you can publish that as a live link anyone can open (just as easy as google docs!) No login, no seat, no "let me screenshot this and paste it in Slack."
Say your VP of Sales needs to share performance metrics with a partner or a prospective client. Today that's a deck someone spent an hour building, or a static PDF that's outdated by the time it lands in their inbox. With public sharing, they just grab the link and send it (takes less than a second). The external party opens it, sees the analysis, sees the reasoning behind the numbers, and they didn’t even need a Zenlytic account to make that happen.
You control what gets published. Nothing goes live unless you explicitly hit publish. But when you do, it means your data can finally leave the building with all the polish and none of the wasted time.
Whenever I'm looking at a dashboard, one of the things that pops in my mind all the time is, “what did this look like last month?“
It would be amazing just to be able to go back and look at what that dashboard said last month so you get a feel for what data you were looking at when you made decisions in the past.
With the update history in artifacts, you can do exactly this! As your artifacts refresh with new data, you never lose the ability to time travel backwards, if you want to see what that artifact looked like last month or last quarter.
This is a really powerful feature for being able to think through how you made decisions on that data in the past versus how you make decisions on that data now.
Hi there,
You build a dashboard. Use it for a week. Then realize you want to change three things about it. Usually that means going back to whoever built it, filing a request, and waiting. With Zoë’s Artifacts, you just say what you want changed (and that’s it).
Anyone can easily create, edit, and improve their Artifacts just by asking Zoë. And every time you make an edit Zoe shows you your update history so you can easily time travel back to previous versions, and iterate from whichever version you like most.
Here's what editing an Artifact looks like in practice.
One of the most common complaints about dashboards that I hear from business leaders is that dashboards tell you the “What”, not the “Why”
But why is that?
It's because dashboards are set up to look at a certain set of data and whenever they reload they don't have any intelligence. They just show you that same data reloaded for a new time period. Just the “What”
Artifacts are different.
Whenever you refresh an artifact with new data, you can tell it in plain language what drivers and deep dives you want to dig into, and Zoë will dig right into it and add it into your finished result.
This means week over week, your dashboard doesn't actually look exactly the same. Your key KPIs are all the same, but the drivers section of what's moving those KPIs will update every week based on what's actually driving those KPIs, not some static guess.
Your dashboards should be as curious as you are. Here's what that looks like →
One of the reasons I love artifacts is that they are so interactive and so easy to share.
When I create a new artifact, I can have Zoë add interactive components that let people filter and do drill downs right inside of the artifact and all those deep dives run instantly.
What's even better is after I make that artifact, I can share it seamlessly with anybody on my team and make sure that the right people have the right access to the data they need in just a matter of seconds.
Build it once, share it in seconds, and let your team explore it on their own. Here's how it works.