Blog category
Workflow strategy
How to plan automation that stays maintainable and useful in daily work.
Agent Loop Engineering: How One-Off Prompts Become Running Systems
Loop engineering shifts the focus from prompt craft to system architecture. Five building blocks, memory, self-improvement, and the risks that sharpen with every loop.
Read articleClaude Fable 5 Is Here: Why the Strongest Model Is Still the Wrong One for Companies
On 9 June 2026 Anthropic released Claude Fable 5, its strongest model to date, at double the price and with 30 days of mandatory data retention. What that means for cloud-AI architectures in companies and why the case for local AI grows stronger.
Read articleEnterprise Knowledge Management 2026: When the Master Leaves, the Knowledge Goes
When the master retires, the knowledge goes with them. Why classical RAG alone is too imprecise, what hybrid search delivers, and how centerbit combines several methods to make implicit knowledge productive.
Read articleCloud 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 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.
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