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Practical articles on automation, AI agents, workflow design, and maintainable systems.
Cloud Infrastructure for AI in 2026: What Edge Computing, SLMs, and Spec-Driven Deployment Mean for SMEs
AI agents are reshaping what cloud infrastructure must deliver. What edge computing, small language models, and spec-driven deployment mean for midmarket cloud architectures in 2026.
Read articleLocal 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 articleDocument Automation 2026: Quotes, Reports, and Templates from Structured Data
Quotes, reports, templates: AI-powered document automation cuts processing time by 70 to 90 percent. Three document types, their specifics, their limits, and why the template matters more than the prompt.
Read articleMicrosoft MAI: Seven in-house models, and a lock-in that runs deeper than ever
Microsoft unveiled seven in-house AI models at Build 2026. Technically impressive, strategically a lock-in on four levels at once.
Read articleSkilled Labor Shortage in SMEs 2026: What AI delivers, what it doesn't, and what to do now
The skilled labor shortage in SMEs is more acute than ever in 2026. AI automation can help, but not in every area. A critical, balanced assessment.
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 Automation for Trades: How a Business Saves 18 Hours per Week with HITL Agents
A 28-employee trades company automated its quote creation process with centerbit AI agents. The process automation results: 18 hours saved per week, zero calculation errors, and 37 percent more quotes. The full AI automation case study with metrics, testimonials, and success factors for trades businesses.
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.
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