The whiteboard has limits
Many workshops steer their workload on a whiteboard or a paper order book. It works — until a client calls to ask about their repair, an ordered part doesn't arrive, or two rush jobs compete for the same bench. The information exists, but it lives in the shop manager's head.
Production software, on the other hand, assumes formalised routings, bills of materials and work centres — a disproportionate frame for a few-person workshop whose real need is a shared, reliable job queue.
Your workshop flow, as you describe it
Describe your activity: “I repair musical instruments. Each repair has a client, an instrument, a diagnosis, a quote, possibly ordered parts, and goes through stages: received, diagnosed, accepted, in progress, done, returned. I want the queue by stage and the repairs waiting on parts.”
The generated application materialises that flow: repairs with statuses, clients and their instruments, awaited parts, and a dashboard showing the queue by stage, lead times and blockers.
The same principle covers fabrication: work orders, materials, stages, promised dates — your vocabulary structures the application.
- Repair or work orders with statuses
- Client records and tracked objects (instrument, device, furniture…)
- Tracking of awaited parts or materials
- Job queue by stage
- Dashboard: in progress, waiting, lead times
Generated as one piece, consistent by construction
A workshop application only has value if its pieces hold together: the client record shows their repairs, the repair shows its parts, the dashboard counts correctly. Blueprint Maker guarantees that consistency by construction: AI produces a whole specification — entities, relations, statuses, indicators — and deterministic builders generate an application where everything is linked.
You validate the plan before generation, and the application arrives deployed at its URL, with demo data simulating a realistic job queue.
The tool follows the workshop, not the other way round
Three generation levels (Sketch, Craft, Masterpiece) let you start simple and raise the polish. And if the workshop develops specific needs, the code — standard Next.js + Prisma — exports as ZIP or to GitHub to evolve freely.
The Discovery plan (€0) covers the first application; Pro (€25/month) and Max (€149/month) provide credits to iterate, with the cost shown before each generation.
Typical generated entities
- Repair order
- Client
- Tracked object
- Part / material
- Stage
Generated screens
- Job queue by status
- Repair record: diagnosis, parts, history
- Client record: objects and repairs
- Awaited parts tracking
- Workshop dashboard
Dashboard indicators
- Repairs in progress by stage
- Waiting on parts
- Average turnaround
- Completed this month
Frequently asked questions — workshop management
My workshop does repairs AND sales. Can the application cover both?
Yes: describe both activities and their objects (repairs on one side, items and sales on the other) — the generated structure links them, e.g. a client with their repairs and their purchases.
Can I give clients visibility on progress?
The generated application is an internal tool: you consult the queue and keep the client informed. Since the code is exportable and standard, a developer can later add client-facing tracking if that need becomes real.
How do I handle priorities and rush jobs?
Describe your rule — priority by promised date, client type, or amount — and it translates into fields and sorting in the generated job queue.
Is the dashboard reliable?
Indicators are computed directly on the application's database, by deterministically generated code — not estimates: what the dashboard counts is what the database contains.
What do I need to start?
A plain-language description of your workshop and a free account (Discovery plan). You validate the proposed plan, and generation produces the complete application, deployed at its dedicated URL.