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Expert articles, deep dives and current insights from the world of AI development, SaaS and digital transformation.
Custom Software vs. Off-the-Shelf Software: When Building Your Own Pays Off
Off-the-shelf software or SaaS for interchangeable standard processes, custom software for competitively critical workflows, with definitions from Gabler, TCO logic from Gartner, a comparison table, and clear decision criteria.
On-Page SEO Checklist: Optimizing Pages Technically and by Content
A practical on-page SEO checklist based on official Google documentation: title and meta description, heading structure, content quality, internal linking, and technical basics from mobile-first to Core Web Vitals.
Having an Online Store Built: Costs, Process & What Matters in 2026
What does it cost to have an online store built, which shop system fits your project, and which legal obligations apply in 2026? This guide explains shop systems, cost factors, ongoing costs, the project process, and the key obligations from legal notices to the right of withdrawal.
EU AI Act: Deadlines 2026 & 2027 (Which Obligations Apply When)
The AI Act does not apply from a single date but in stages. This overview shows which obligations have applied since 2025 and what follows on August 2, 2026 and 2027, exactly as set out in Article 113.
Core Web Vitals & PageSpeed: Why Slow Pages Cost You Customers & Rankings
What LCP, INP and CLS measure, which thresholds count as good, and why slow pages cost rankings and conversions, with concrete optimization levers based on web.dev.
RAG System for Businesses: Your Own Knowledge Base With AI (GDPR Compliant)
How a RAG system connects your own company knowledge to a language model, reduces hallucinations, and what the Data Protection Conference (DSK) requires for GDPR compliant use.
llms.txt: What the File Does and How to Set It Up Correctly
The llms.txt file is meant to guide LLMs and answer engines to your most important content. We explain its structure, setup, and how it differs from robots.txt and sitemap.xml, and give an honest assessment of how much this young standard really delivers today.
Learning Prompt Engineering: Definition, Building Blocks, and Real Examples
Prompt engineering sounds like a magic formula, but it is a learnable craft. This guide covers the six building blocks of a good prompt, with real before and after examples from everyday work.
What Is AI Literacy? Definition, Dimensions, and How to Build It
The EU AI Act requires companies to foster AI literacy, but what does that actually mean? We explain the definition, four practical dimensions, and how to build and demonstrate AI literacy in your company.
Requirements Specification vs. Functional Specification: Difference, Content, and Template
Requirements specification or functional specification: who creates what? The difference under DIN 69901-5: requirements specification (client, the what) vs. functional specification (contractor, the how), including content, sequence, and template structure for software projects.
Who Is Liable for AI-Generated Code? What Changes in 2026
As of December 2026, software is explicitly a product under product liability law. What this means for developers, agencies, and clients.
Definition of Done for AI Code: Evidence Instead of Promises
When code is written in minutes, the bottleneck shifts to the question of when something is actually done. A Definition of Done built for that pace.
All images in this overview are AI-generated illustrations.AI transparency
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