Ask your product anything, in plain English, and it answers. Then it keeps watching and tells you the moment the answer changes.
That's the whole thing. It sounds small until you sit with what it replaces.
Think about the last time you needed to know something about your own product. Whether the feature you shipped is actually being used. Whether the customer about to churn still logs in. How many people hit an error today. The answer always existed somewhere inside the system. You just couldn't get it without interrupting the one person who knows where to look, and waiting.
That waiting is a tax every company pays and nobody notices. The founder waits a day for the analyst's dashboard. Support waits twenty minutes per ticket for an engineer. Sales waits for someone to check whether the dying account is even awake. The product had the answer the entire time. It just couldn't speak.
Now it can.
You ask. It watches. It tells you.
In EZLogs you pin a question to your product, written exactly how you'd say it out loud:
"Tell me when a trial account goes quiet for 3 days."
"Is the bulk-export feature failing for anyone?"
"Tell me when a new user registers."
No metric to name. No query to write. No threshold to set. No dashboard to build first. You type the sentence, and the product takes it from there.
From that moment it's watching. And when the answer changes, it comes to you, in plain language, with the story already written:
Acme Corp went quiet. Trial, day 9. Zero activity for 3 days, then 4 failed logins this morning.
Bulk-export is failing for 5 people. 47 ran it this week. 5 failed, all on exports over 10,000 rows, the same step every time.
A salesperson catches the churning account while there's still time to call. A designer learns their feature is quietly broken for everyone on big files, without instrumenting a single line. A founder gets the business in a sentence every Monday, and an off-cycle nudge the moment something moves. Same engine. Everyone in the company finally on speaking terms with the product they're building.
Every number shows its receipts
Here's the part that makes it trustworthy instead of just clever.
Every figure in every answer clicks straight back to the real events behind it. "3 checkouts failed for Acme today" takes you to those exact three checkouts. "47 people ran bulk-export" takes you to the 47. The claim and the proof are always one click apart.
These numbers are not an AI guessing what probably happened. They are counted from what actually happened. The whole alert is one click that drops you exactly where the evidence lives: a trend alert lands you on the trend, a failure alert on the failures, a "this account went silent" alert on that account's live page. One headline, one click, the full story waiting on the other side.
The AI does exactly one job, at the edges: it turns your sentence into something the system can answer, and it phrases the result back in plain English. It never decides what's true. The truth is a fact, counted, with its receipts attached. The AI translates, it never judges, and that is what lets a non-engineer trust the answer the way they'd trust a number an engineer hand-pulled for them.
Why this matters
Datadog tells your engineers when a number crosses a line they configured. This lets anyone in your company ask the product a question in human words and get a true, cited, plain-language answer that keeps watching for them.
Different audience. Different promise. A different relationship with the software you build.
I think the products that win the next few years won't feel like magic because of the AI. They'll feel like magic because they finally tell you the truth, in your own words, the moment it changes. That's what we shipped. It's live in EZLogs today.
Try it
There's a free tier, no card. If you've got a Rails or Next.js app, point the agent at it, pin a question, and see if the answer holds up when it fires.
If you pin something and the alert comes back wrong, or worse, comes back confidently fake, tell me. That's the one bug this whole thing exists to not have.
Razvan