Agritech & Farm Management
Kliv is an AI app builder. Describe growers, fields, scouting reports, recommendations, trials, and a knowledge base, and Kliv builds the crop advisor app.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a generic farm records product you configure — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the database, the logic, the screens, and the workflows. You own the result, run it on your own accounts, and change it later by asking. It isn’t a template.
On this page, that app is a farming and crop advisor app. Kliv builds all kinds of web apps; this is one example.
A crop advisor’s value includes memory: field history, symptoms, trials, and reasons for recommendations. That information often sits in notebooks, spreadsheets, reports, and photos.
Kliv turns the practice into software. Growers see their own fields, reports attach to acres, recommendations are signed, and the agent answers from the practice’s notes and trials.
Each record maps to real acres or decisions.
Boundaries, acres, crop year, and history belong to a grower.
Reports are dated, tied to a field, and can include photos and counts.
Each recommendation records what, where, why, advisor, and date.
Trials hold hybrids, passes, yields, photos, and results.
Notes, tests, and trials become a knowledge base scoped to each grower.
Here’s how one business might use it. It’s only an example — you would describe your own setup, rules, and content.
Carmen records emergence notes and photos on the west quarter.
A grower sends a yellowing-leaf photo, and the signed recommendation files under that field.
The agent surfaces Carmen’s 2022 note from a nearby field with the same symptom.
Combine passes and weigh-wagon numbers attach to the strip-trial record.
Winter recommendations cite trial records by name.
Carmen renews the $8.25-an-acre program with each grower’s season history visible.
Kliv builds from your description, so the more detail you give, the closer the first version. Include concrete prices, dates, roles, limits, and edge cases.
Grower fields and recommendations.
“Build an app for my crop advisory practice with 38 growers, per-grower field records, geotagged scouting photos, signed and dated recommendations, and weekly digest emails from each grower’s rows only.”
Team view and grower portals.
“Build a field-records app for our co-op’s three agronomists where growers see only their farms, the team sees all served fields, and recommendations carry advisor name and date.”
Yields and agent answers.
“Build a strip-trial app where each trial holds hybrid names, passes, yields, photos, and field notes, and an agent answers seed questions from our own trial history only.”
The knowledge base is yours. The agent reads reports, trials, and notes from the practice.
Each grower sees their own rows. Row rules keep fields, reports, terms, and history scoped.
The season can send digests. Scheduled jobs can assemble weekly updates for each grower.
Apps built around what an agent may read are covered on apps built around that second question.
Kliv is an AI that builds custom web apps from a description. For a farming and crop advisor app, it builds the records, screens, rules, and workflows around your case.
A real app. Kliv builds the database, logic, and screens for your specific case, not a theme you fill in.
Yes. Ask for changes in plain words, and Kliv updates the app without starting over.
The app is the practice’s system, and grower rows are shown to the grower they describe.
It answers from what the practice has written. Recommendations carry advisor name and date.
No. Logins only see their own rows.
Yes. Spreadsheets, PDFs, and notes can shape the schema and knowledge base.
Yes. Photos attach to the field and report.
Yes. Scheduled jobs can send each grower a digest from their own rows.
Yes. Recommendations can carry advisor name, date, field, and reason.
Yes. Grower portals can run on your own domain.
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Describe growers, fields, reports, recommendations, trials, and agent sources. Kliv builds the advisory app around them.