Prototype development with AI
From idea to clickable prototype in two to four weeks
You have an idea for a product, an internal tool or an automation but do not know whether it works? With AI-assisted development a real, usable prototype emerges in a short time, one you can use to convince customers, employees or investors.
The most expensive software is the one nobody needs. A prototype answers the most important question early and cheaply: does the idea solve a real problem and do people want to use it?
AI-assisted development makes prototypes much faster today. From a description, a few sketches and a conversation, a working application with real data, a real interface and real AI features (if they belong to the concept) emerges in a few weeks. What proves itself is expanded into production software. What does not was a cheap experiment.
What you get
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Fixed frame
Fixed price and fixed period, usually two to four weeks. You know in advance what you will get.
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Real, not a mock-up
Not a click dummy but a running application with database, login and the core features.
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Learn with real users
The prototype is tested with customers or employees. The insights feed directly into the decision about expansion.
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Ready to grow
Cleanly built on Ruby on Rails so the prototype can become the finished software without starting over.
Understandable real-world examples
Booking platform for holiday flats in the Wartburg district
- Starting point
- A landlord of several holiday flats wants to build a regional booking platform and is looking for partners among other landlords.
- Solution
- In three weeks a prototype emerges with property management, availability calendar, booking requests and an AI assistant that answers guest questions about arrival, amenities and excursions.
- Result
- Five landlords test the prototype, two join, the platform is expanded step by step. A decision based on real usage instead of assumptions.
AI-assisted shift planning for a care service
- Starting point
- The care service manager plans shifts in Excel and spends hours every week on swap requests and absences.
- Solution
- Prototype of a planning application: employees enter availability and wishes, an AI proposes a plan that respects qualifications, travel times and working-time rules. The manager adjusts and approves.
- Result
- Planning in one hour instead of a day. After four weeks of testing the application is expanded into the production system.
Funding application with a working demonstrator
- Starting point
- A machine builder wants to apply for funding for a digitisation project and needs more than a slide deck.
- Solution
- A demonstrator that reads machine data, checks it for anomalies with AI and issues maintenance recommendations, with real sample data from the plant.
- Result
- The application contains working proof of feasibility. The project is approved and built on the demonstrator.
How we work together
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1
Free initial consultation
30 minutes by phone, video or on site in and around Eisenach. You describe what costs time or causes friction today. I tell you honestly whether and how AI can help.
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2
Analysis and concept
I look at the workflow, the data and the systems involved. You receive a short concept with effort, benefit and risks in plain language.
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3
Implementation in small steps
First a working prototype, then the build-out. You see results early and keep control over budget and direction.
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4
Rollout and support
Training for your team, documentation, monitoring. On request I take care of maintenance and further development.
Frequently asked questions
- What does a prototype cost?
- It depends on the scope and is offered as a fixed price after a short concept call. Typical prototypes are in the low to mid four-figure range for two to four weeks of development.
- What happens after the prototype?
- You decide. The prototype can be expanded, shelved or handed over to another team. In any case you receive the complete source code.
- Can the prototype contain real AI features?
- Yes. Text understanding, document analysis, assistants or suggestion features can be built quickly with today's models and tested with real data.
- What is the difference between a prototype and an MVP?
- A prototype shows whether an idea works. An MVP (minimum viable product) is the smallest version that can already be used productively and paid for. The typical path: prototype in three weeks, MVP in two to three months.
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Learn moreLet's talk about your use case
In a free 30-minute call we find out whether it is worth it and what a first step could look like.
On site for businesses in Eisenach and within 100 km, remote beyond that.