Kliv

    Manufacturing & Production Management

    Build a production planning tool

    Kliv is an AI app builder. Describe the production planning tool you need — make days, batches, shelves, ready dates, allocations, and yields — and it builds the app.

    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 generic planning board — it’s an AI that builds software for you.

    You describe the app you need in your own words, and Kliv builds it: the database, calendar, rules, task lists, allocations, and reports. What you get is a real app that’s yours. You can change it later by asking for changes and run it on your own domain or private app URL. It isn’t a template.

    On this page, that app is a production planning tool. Kliv builds all kinds of web apps; this one is for production work where capacity, timing, and allocation have to agree.

    Why build your own production planning tool?

    Some production plans finish in days. Others finish in seasons. A creamery may make wheels today that cannot be sold until next spring, while aging rooms have fixed shelf capacity and milk deliveries keep arriving.

    Kliv builds the plan as a database. Make days, batches, wheels, shelves, and orders are rows with relationships, so the calendar can answer how many make days fit, how many wheels the rooms can hold, and how much future stock is already spoken for.

    Inventory that is not ready yet

    A wheel exists for months before it can be sold. These records keep that time visible.

    The make calendar

    Each make day pairs recipe and milk on hand: vats, cheese, and expected wheels. A day the deliveries cannot supply fails at entry.

    Batches and wheels

    Every batch stores vat day, recipe, and numbered wheels. Each wheel gets a ready date computed from the recipe’s aging time.

    The aging rooms

    Shelf space is a number the database knows. A plan that overfills the caves is impossible to save.

    Orders and allocations

    A wholesale order can claim specific wheels by ready date. Two customers cannot claim the same wheel.

    Yields and losses

    Liters in, kilograms out, and wheels that miss grade are recorded per batch, so future plans learn from actual yield.

    An example: Gerda’s creamery

    Here’s how one producer might use it. It’s only an example — you would describe your own recipes, rooms, batches, ready dates, and allocation rules.

    01

    Milk delivery creates the make plan

    Tuesday’s delivery is logged against the farms it came from. The make calendar shows batch 214, twelve vats, and 40 wheels expected.

    02

    Make day records what happened

    The day sheet prints recipe, cultures, and targets. Afterward, the batch records 41 wheels and one vat slow to set.

    03

    Ready dates come from the recipe

    Batch 214 takes assigned shelves in room two. Each wheel’s ready date lands nine months out, computed once from the recipe.

    04

    Room tasks follow batch age

    Turning and washing lists are drawn from batch ages every Sunday. A skipped week shows as unfinished work, not as a surprise at grading.

    05

    Orders claim future stock

    In November, a wholesaler books 30 wheels for spring. The allocation attaches to batch 214’s ready window and reduces what remains available.

    06

    Traceability reads backward

    When the wheels ship, the invoice can trace back to vat day and the farms in the tank.

    Describe what you want to build

    Kliv builds from your description, so include recipes, capacities, ready-date rules, batch identifiers, allocation rules, and traceability needs. Here are three examples:

    kliv.dev

    Creamery make plan

    Vats, caves, ready dates, and allocations.

    “Build a production planning tool for our creamery with make days scheduled from milk deliveries, batches and numbered wheels, aging-room shelf capacity, recipe-based ready dates, and wholesale orders that allocate wheels by ready date.”

    kliv.dev

    Brewery tank schedule

    Fermenters as the constraint.

    “Build a production planner for our brewery where each brew claims a fermenter for its full schedule, packaging days pull from finished tanks, and the calendar shows tank availability by week.”

    kliv.dev

    Soap curing planner

    Racks, cure times, and launch checks.

    “Build a planning tool for our soap workshop with batches on curing racks for four weeks, computed ready dates per recipe, batch labels, and launch dates that check cured stock before going on sale.”

    Built backward from the ready date

    Allocation is counted by the database. An order books wheels from a batch’s ready window, and each wheel can be counted once. Overselling next spring becomes a refused write, not a later apology.

    Weekly tasks come from rows. Turning lists, washing schedules, and grading reminders are drawn from batch ages and recipes on a schedule.

    Traceability reads the same tables backward. Wheel to batch to vat day to farms is one path through the records, not a reconstruction from binders.

    Most internal tools look backward. A production plan faces forward, and it deserves the same database discipline. Internal tools that face forward is where that discipline comes from.

    Common questions

    What exactly is Kliv?

    Kliv is an AI that builds custom web apps from a description. For production planning, it builds the calendar, batch records, capacity rules, allocations, task lists, and reports around your process.

    Do I get a real app, or a template?

    A real app. Your recipes, make days, batches, rooms, ready dates, allocations, and yields live in a database built for your production process.

    Can I change it after it’s built?

    Yes. You can add recipes, rooms, batch fields, capacity rules, task lists, or allocation reports by asking for changes.

    Can orders be taken against stock that is not ready?

    Yes. Ready dates are computed when the batch is made, and orders can allocate against those dates.

    What happens when a batch fails grading?

    The batch can be marked down and its allocations exposed for resolution. Affected orders can move to a list with substitute batches suggested.

    Can one calendar handle different aging times?

    Yes. Aging time belongs to the recipe, so ready dates are computed per batch while the calendar shows one plan.

    How does the plan learn real yields?

    Each batch records input and output. Expected yield per recipe can be recalculated from that history.

    Can it prevent overfilling aging rooms?

    Yes. Room and shelf capacity can be checked when a batch is scheduled.

    Can it support traceability?

    Yes. If production is planned in the database, you can trace from a shipped item back to batch, vat day, and suppliers.

    Can I use my own domain?

    Yes. The tool can run on your own domain or a private app URL.

    Can I move off Kliv later?

    Yes. The code syncs to your own Git repository, and your production records are yours.

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    Know how much of next spring is sold

    Describe your recipes, deliveries, rooms, batches, ready dates, tasks, and allocation rules in detail. Kliv builds the plan around them.