Insights
AI software explained clearly – without the marketing fog.
Practical guidance on architecture, models, RAG, agents and project planning. Direct, technically grounded and focused on real business requirements.
Technical articles
Decision support for real AI projects.
The articles address technical questions that commonly arise before architecture, integration and model decisions. They are published by KI-Softwareentwicklung.de and updated when necessary.
Guide
What is RAG?
How Retrieval-Augmented Generation connects company knowledge to language models, and when the approach is useful.
Read articleGuide
AI agents or traditional workflows?
Where agents are useful, where deterministic automation is the better fit and why hybrid systems are often the strongest choice.
Read articleGuide
OpenAI, Claude or open source?
Which criteria matter more than generic model rankings when selecting an LLM for a real software product.
Read articleGuide
What does custom AI software development cost?
The main drivers of effort and budget, and how to structure an AI software project into sensible phases.
Read articleTopic areas
Questions covered in our insights section.
Related questions are grouped into substantial articles so technical context is preserved and decisions are not based on isolated one-line answers.
RAG & company knowledge
Retrieval, sources, permissions, chunking, search and evaluation.
AI agents & workflows
Tool use, autonomy, human-in-the-loop controls and deterministic alternatives.
LLM selection & integration
OpenAI, Claude, Gemini, open source, APIs, cost and provider switching.
Project scope & operations
MVPs, prototypes, effort, quality, monitoring and production operations.
Let’s turn your AI idea into a concrete software project.
In an initial conversation, we clarify the objective, current situation and sensible next steps.
To get started, your objective, existing systems and the main open question are enough.