Blog category
Workflow strategy
How to plan automation that stays maintainable and useful in daily work.
Local AI agents on 16 GB: What Gemma 4 QAT means for European businesses
Google's Gemma 4 QAT models now run on 16 GB laptops and 1 GB mobile devices. What Quantization-Aware Training changes technically, which model fits which hardware, and how European businesses get into production in ten minutes — including the gotcha and GDPR-compliant deployment scenarios.
Read articleThe Agent-First Gold Rush: Why 80% AI Agent Adoption Is a Warning, Not a Success
80% of enterprise applications now embed AI agents, but fewer than half ever reach production. The agent-first trend ignores a critical gap: governance. Why this is a warning sign and three principles companies should implement now.
Read articleAI Agents in the Midmarket 2026: Between Pilot Project and Production
Over half of German midmarket companies are deploying AI in 2026. But between demo and production lies a gap: three common rollout mistakes, the honest limits of AI agents, and the structured path from experiment to productive system.
Read articleOpen Source AI Agent Frameworks 2026: A Critical Comparison
LangGraph, CrewAI, OpenAI SDK and more: ten open source agent frameworks compared. What the download numbers don't tell you, why framework lock-in is the biggest risk, and what developers should watch for in 2026.
Read articleThe AI Agent Paradox: Why More Autonomy Demands More Control
2026 is the year of AI agents — but beneath the success story lies a paradox: the more autonomous systems become, the more human oversight they require. While 97% of enterprises deploy agents, only one in five has mature governance. An analysis of why Human-in-the-Loop is now a business imperative.
Read articleCodex Sites in Practice: What AI-Generated Internal Tools Actually Deliver
OpenAI Codex Sites creates internal tools from a prompt. Impressive, but the preview phase also reveals the risks: AI-generated code without review, incorrect KPIs, and unresolved GDPR questions. Why the leap from playground to production is still too far.
Read articleAI Developer Tools 2026: How Claude Code and Copilot Are Reshaping Daily Coding
AI-powered CLI tools like Claude Code and Microsoft's MAI-Code-1-Flash are reshaping how code is written, reviewed, and shipped in 2026. A practical overview of commands, code review, parallel work, and custom skills.
Read articleModel Context Protocol (MCP): The Open Standard Connecting AI Agents
The Model Context Protocol (MCP) is the open standard connecting AI agents with external systems. 81,000+ GitHub stars, support from Anthropic, OpenAI, and Microsoft: why MCP solves the N×M integration problem and how businesses benefit.
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