Glossary

AI prototype development

What is AI prototype development?

An AI prototype is an early, working version of an AI application that lets a team test an idea quickly and at modest cost. Rather than planning for months, you try it with real data and users to see whether the AI solves the task reliably enough, which data is missing and what value it delivers. Example: an assistant that pre-sorts customer enquiries is trialled on part of the inbox for two weeks before deciding on a wider roll-out.

How KI.ordo helps

KI.ordo offers AI development as a service, and many ideas can also be tried out without programming as an agent or a flow.

Learn more →

Topics

Project approach
Prototyping
Validation

Try KI.ordo

Agents, flows and templates in one workspace – free 24-hour demo.

Start demo

← All terms

Related terms

No-code

No-code refers to tools that let people build applications, automations or websites through graphical interfaces without writing program code. Business teams can implement and test processes themselves instead of waiting for IT development. Limits appear with very specialised requirements, large data volumes or deep integrations. Example: a sales team uses drag and drop to build a flow that sorts and summarises new enquiries.

automation
tools
+1

Vibe Coding

Vibe coding describes a way of working in which software is created mainly through natural-language descriptions and AI-generated code is accepted largely without review. The term was coined by AI researcher Andrej Karpathy in February 2025. It can be useful for quick prototypes, but in production it risks undetected security vulnerabilities, hard-to-maintain code and dependencies nobody on the team really understands, so code review and testing remain essential.

Software development
Prototyping
+1

AI Consultant

An AI consultant helps organisations use AI sensibly and responsibly. Typical tasks include assessing potential, selecting suitable use cases and tools, embedding them in existing processes and responsibilities, data protection and compliance questions, and training. Good consultancy weighs benefits and risks soberly and takes into account the people who work with the systems. Example: a mid-sized company clarifies which customer enquiries can be reliably automated.

Consulting
Strategy
+1

Return on AI (ROAI)

Return on AI describes the economic return of an AI deployment relative to its costs. A simple rough calculation is: hours saved per month × hourly rate, minus the costs of licences, model usage, set-up and support. If a team handling 200 requests needs 4 instead of 10 minutes per request, it saves 20 hours a month. Such calculations remain estimates; quality, error rates and onboarding time should also be taken into account.

cost-effectiveness
cost-benefit
+1

Template