Kliv

    Agritech & Farm Management

    Build an AI-powered livestock health monitoring system

    Kliv is an AI app builder. Describe your herd, thresholds, treatment records, withhold rules, and crew roles, and it builds a livestock health monitoring system your farm controls.

    kliv.dev

    Just enter your idea into the text box and AI will build it for you

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    What is Kliv?

    Kliv isn’t a collar vendor or a farm management package you configure — it’s an AI app builder that creates software for you.

    You describe the app you need in plain words, and Kliv builds it: the data, the rules, the screens, the assistant, and the reports. What you get is a real application that’s yours. You can run it on your own domain, connect your own data feeds, and change it later by asking. It isn’t a template.

    On this page, that app is an AI-powered livestock health monitoring system for a dairy herd. Kliv builds all kinds of web apps; this is one example.

    Why build your own herd board?

    The collars may already show useful signals, but those readings often sit in one app while treatments sit in a notebook and withhold dates sit in someone’s memory. That is how a cow with falling rumination gets noticed two days later, when the problem is visible.

    Kliv builds one system around the farm’s own records. Collar readings arrive as rows. Your thresholds decide what is flagged. Each check, treatment, dose, and withhold date stays attached to the animal record, so the crew and the office read the same facts.

    What the barn tracks

    The system keeps the records a herd health process needs.

    The animal record

    Each cow has a record with lactation number, calving dates, sensor history, flags, treatments, and notes. The herd history stays in one place.

    Readings and thresholds

    Collar data can arrive on a schedule. Thresholds are editable farm records, so a flag is raised by your rule, not by a vendor’s default.

    The treatment log

    Every dose records animal, product, batch, who gave it, and when. An inspection question becomes a filter, not a search through handwriting.

    The withhold gate

    A treatment writes its milk withhold date onto the cow. Until the date passes, the milking record will not mark that milk for the tank unless the record is deliberately changed.

    The morning list

    A scheduled job can assemble the day’s checks from overnight flags before milking starts. The list is sorted from the records, not compiled by hand.

    An example: Jorunn’s dairy herd

    Here’s how one farm might use it. It’s only an example — you would describe your own herd, sensors, thresholds, treatment rules, and crew roles.

    01

    A cow crosses the farm’s threshold overnight

    Cow 147’s rumination drops below the line Jorunn set for third-lactation cows. The reading and the threshold are both rows, so the comparison runs even when no one is awake.

    02

    The morning list puts her first

    Monday’s check list opens with cow 147 and the curve that raised the flag. The relief milker and Jorunn see the same record.

    03

    The pen check becomes part of the history

    The crew finds early mastitis. The vet visit, treatment course, product, batch, and person who gave the dose are recorded from the pen.

    04

    The withhold date protects the tank

    The treatment writes a date onto cow 147. For four days the milking screen shows her milk as withheld, and the tank record follows that rule.

    05

    The all-clear opens automatically

    When the withhold date passes, the gate opens. The dip, treatment, and days out remain attached to cow 147 for later health and culling decisions.

    Describe what you want to build

    Kliv builds from your description, so include the herd size, sensor source, thresholds, treatment records, and what each role can see. Here are three examples:

    kliv.dev

    Dairy herd monitor

    Collar data with thresholds per group.

    “Build a herd health tool for our 320-cow dairy. Ingest collar activity and rumination data hourly, flag cows that cross thresholds we define per lactation group, and show each cow’s sensor history, flags, treatments, and current status.”

    kliv.dev

    Treatment and withhold log

    Doses with enforced milk dates.

    “Build a treatment log for our dairy. Every dose should record product, batch, person, time, and animal, write the correct milk withhold date onto the cow, and block her milk from the tank record until the date passes.”

    kliv.dev

    Morning check list

    Overnight flags sent to the crew.

    “Build a scheduled morning check list from overnight collar flags, out-of-range readings, and cows already under treatment. Email it to the crew before first milking and keep completed checks on each cow’s record.”

    Where the flags come from

    The system notices; the vet diagnoses. The assistant and rules can flag changes against thresholds you set and answer from your treatment protocols. Medical judgment stays with the vet and the farm.

    The barn has roles. A relief milker can see today’s list and the withhold screen. The manager can see the treatment ledger and herd history. Those limits are enforced where the records live.

    The record survives inspection. Product, batch, person, date, and the day milk returned to the tank are all stored on the cow’s history.

    A herd board is often the first internal farm tool, not the last. Breeding calendars, parlor rosters, and feed contracts can use the same approach. Internal tools on Kliv covers that pattern.

    Common questions

    What exactly is Kliv?

    Kliv is an AI app builder that creates custom web apps from a description. For a dairy, that can mean a herd health system with readings, thresholds, treatment logs, withhold rules, lists, and an assistant.

    Do I get a real app, or a template?

    A real app. Kliv builds the database, screens, rules, and assistant around your herd and workflow, not a generic checklist.

    Can I change it after it’s built?

    Yes. You can change thresholds, records, lists, roles, and reports by asking for the change in plain words.

    Does the system diagnose illness?

    No. It notices changes against thresholds you set and keeps the record straight. Diagnosis and treatment decisions stay with the vet and the farm.

    How does sensor data get in?

    Through server-side functions that accept your collar vendor’s export or feed on a schedule. The readings become rows in your own database.

    Who sets the thresholds?

    You do. Thresholds can be records the farm edits, including different rules by lactation group or other herd categories.

    Can the withhold rule be overridden in a rush?

    Not by accident. The milking record reads the withhold date from the cow’s row. Changing it means deliberately editing the record, which leaves its own trail.

    Can different staff see different things?

    Yes. A sitter for today’s checks and a manager reviewing treatment history do not need the same access. The app can enforce that at the data level.

    Will it help with inspections?

    Yes. Treatment records, batches, dates, people, and withhold history can be filtered and shown from the ledger instead of reconstructed from notes.

    What happens if we change systems later?

    Animals, readings, treatments, and logs are records in a database the farm owns. They can be exported instead of trapped in a vendor screen.

    Can I move off Kliv later?

    Yes. The app’s code syncs to your own Git repository, and the data is stored as records you control.

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    Find health problems earlier

    Describe your herd, sensors, thresholds, treatment logs, and withhold rules. Kliv builds the board your crew and office can both use.