Analytics
Kliv is an AI app builder. Describe your custom dashboard builder, and it builds dashboards from your own data with readable metrics, role-scoped views, alerts, digests, and custom events.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a BI tool with saved charts — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the database connections, screens, metrics, role rules, alerts, scheduled digests, and tests. What you get is a real app that’s yours, on your own domain, and you can change it later by asking. It isn’t a template.
On this page, that app is a custom dashboard builder. Kliv builds all kinds of web apps; dashboards are one common internal tool.
A dashboard usually starts with a few practical questions: what has to happen today, which accounts are drifting, and what went wrong yesterday. A general BI tool often adds seat licenses, connectors, and metric definitions hidden in saved queries.
Kliv builds the dashboard as part of the app that holds or reads the data. Orders, production batches, route stops, accounts, and events are records. Metrics are readable server functions. When the definition of “slipping account” changes, you ask for the change and the tiles, alerts, and digests use the same definition.
Each number should be traceable to data and a definition.
Orders, roast batches, route stops, and other records can live in the app database or be pulled from outside systems by scheduled functions.
A metric such as “slipping account” is a typed TypeScript server function with a definition you can open, test, and change once for every tile, alert, and digest.
The roaster can see production, sales can see accounts, and the owner can see everything. Row rules decide what each viewer’s dashboard contains.
A late route or quiet top account can post to the ops Slack channel when the condition turns true.
A scheduled job can render last week’s revenue, top accounts, and misses, then email it on your template before the week starts.
Define an event in plain words, such as counting a reorder as any order from an account with a prior order, and it can appear in charts.
Here’s how one operations team might use a dashboard app built with Kliv. It’s only an example — you would describe your own data sources, metric definitions, roles, alerts, and digests.
At a wholesale coffee roastery, Amir asks the same three questions every morning: what has to roast today, which accounts are drifting, and whether yesterday’s routes delivered.
Orders, roast batches, and route stops are rows, entered by staff in the same app or pulled in by scheduled functions. The dashboard reads the system of record because it lives inside it.
“Slipping account” starts as no order in 14 days against the account’s trailing average. When Amir wants it to mean 21 days instead, he asks for the change, and every tile, alert, and digest agrees.
The roaster sees production, sales sees accounts, and the owner sees everything. Row-level rules decide what each viewer’s dashboard contains, not a removable filter.
A route two hours late or a top-20 account gone quiet posts to the ops Slack channel when the condition turns true.
A scheduled job renders last week’s revenue by channel, top accounts, and the misses, then emails it on the roastery’s template before the owner’s first coffee.
Kliv builds from your description, so the more detail you give, the closer the first version. Include source data, metric definitions, roles, alerts, digests, and edge cases. Here are three to build on:
Production against open orders.
“Build a dashboard for my coffee roastery. Show today’s roast plan against open wholesale orders, highlight any order due within 48 hours that is not scheduled, show pounds roasted by origin, and let the roaster see production while the owner sees all metrics.”
Who is drifting and who is growing.
“Build a sales dashboard for wholesale accounts. Rank accounts by days since last order compared with their usual cadence, mark top-20 accounts red after three quiet weeks, show reorder trend by rep, and post a Slack alert when a top account goes quiet.”
One email every Monday.
“Build a Monday email digest for the owner. Include last week’s revenue by channel, new wholesale accounts, late routes, the three worst delivery misses, and links back to the underlying orders and route records.”
Every viewer gets the right slice. A salesperson’s dashboard contains their book of accounts and nothing more, because rows outside that scope are invisible to their queries.
The math is tested. Kliv can write unit tests as it builds, so a metric definition such as “slipping account” is pinned by tests. When you change the threshold, the tests show what changed.
The definitions are yours. Metric functions and the rest of the app’s source sync with your own Git repository. The logic behind Monday morning is code you hold, not a setting trapped in a vendor account.
Dashboards are usually the first internal tool a company builds, not the last — the rest of that family lives at the internal-tools solutions page.
Kliv is an AI app builder. You describe the dashboard app you need, and it builds the screens, metric functions, role rules, alerts, scheduled digests, and tests.
A real app. The dashboard is built around your data, your metric definitions, your roles, and your alert rules, not a generic chart template.
Yes. You can ask to change a metric, add a tile, adjust a threshold, add a role, or change the weekly digest later.
The app’s own database first. Scheduled server-side functions can also pull from outside APIs, and uploaded files can be parsed into tables.
Yes. Row-level security scopes what each signed-in viewer’s queries can return, and roles decide which tiles they see.
A metric is a readable typed TypeScript function with tests. When the definition changes, the code diff and tests make that change visible.
Yes. Scheduled jobs can evaluate thresholds and send a Slack post, an email, or both.
No. Kliv does not charge per user of your app, so everyone who needs the dashboard can have access under the roles you define.
Yes. The dashboard app can run on your own domain, with access limited to signed-in users you allow.
Yes. The code syncs to your own Git repository, and your data can be exported.
Yes. You can describe events in plain words, and Kliv can build the event logic into the app.
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A warm platform for dementia-friendly cafés, connecting caregivers, volunteers, and coordinators.
Track remittances and household budgets seamlessly.
Manage your book club easily with proposals, voting, and history tracking.
Portfolio and booking site for Northfern Tattoo Studio.
Sistema de gestión del agua comunitario para aldeas.
職人が作品を展示し、受注管理を行うサイトです。
Crowd-sourced surf condition tracking app.
A portal for HOA management at Riverside Commons.
小規模レストラン向けの予約管理サイトです。
A management tool for Scout Troop 214, focused on outings, advancement, and communication.
A whānau coordination tool for Māori-medium schools.
Mobile library coordinator for Hmong and Lao communities.
Describe the numbers, data sources, roles, alerts, and digests in as much detail as you like. Kliv builds the dashboard app around them.