Insights, tutorials, and news from the world of software development.
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An AI knowledge assistant is not a chatbot over your data. It is a controlled retrieval architecture with permissions, sources and human review. Here is how it is built right — and how it fails.
A B2B portal is not a prettier website. It is roles, data, performance and SEO under one architecture. Why Server Components, streaming and Core Web Vitals make the difference.
A pentest is not an automated scan. What a real penetration test delivers, how it runs, where the most common gaps are (OWASP Top 10) — and when the effort actually pays off.
Prompt injection is the number one OWASP LLM risk — and a different problem from classic web security. What decision-makers and developers must understand before an AI feature goes live.
Proximity is an advantage but not a selection criterion. What really counts in the Rhine-Main region: communication, references, data-protection understanding, project structure and long-term support.
No flat number — the real cost drivers: scope and edge cases, integrations, permissions, mobile, AI, hosting, maintenance, and how a small first slice lowers budget risk.
Manufacturing AI pilots often fail before the model is the problem. Without ERP-MES integration and shop-floor context, AI produces recommendations that cannot become operational action.
AI adoption is growing in Germany, but scaling AI inside SMEs requires more than model access. It requires clear processes, reliable data, human approval and measurable business outcomes.
AI readiness is not about choosing the newest model. It is about defining the right business decision, connecting AI output to action, and measuring real operational value.
What companies need to consider in AI projects around GDPR, data processing and practical project boundaries — without legal jargon.
Eight questions to answer before starting an AI pilot — from data access and success criteria to team setup and the decision path after the pilot.
How AI-supported knowledge search accelerates internal processes, which ROI is realistic and which risks companies should understand.