Practical decisions for AI and software
Technical guides to choose models, verify software and plan delivery.
Search every article
Search the full article text.
No posts match your search. Try another term or pick a topic.
Latest articles
New comparisons, practical guides and engineering lessons.
Self-Hosting LLMs in the EU: When Open Weights Actually Pay Off
The GPU is the cheap part. Here is the real cost of self-hosting open weights, a defensible break-even formula, the GDPR trade-offs, and the vLLM production stack.
Open-Weight LLMs 2026: DeepSeek, Qwen, Kimi, GLM, Llama and Muse
Compare open-weight LLMs in October 2026: DeepSeek, Qwen, Kimi, GLM, Llama and Muse. Exact licenses, local versus cluster hardware and evaluation criteria.
AI Consulting in Austria 2026: An Honest Guide for SMEs
AI consulting in Austria: realistic scoping costs, SME use cases, AI Act duties and October 2026 funding status, including the end of KMU.DIGITAL.
The Bottleneck Was Never Intelligence. It Was Context.
Rakuten reported a seven-hour Claude Code session on vLLM with 99.9% numerical accuracy for one method. What the vendor case study shows, what it does not, and how to build a reviewable agent workflow.
ChatGPT Enterprise vs Copilot vs Custom RAG
Which should a DACH company shortlist? A neutral procurement guide to workflow fit, product terms, location controls, permissions, compliance roles, and total operating cost.
EU Data Residency for AI APIs in 2026: Provider Guide
Compare EU storage and inference guarantees across OpenAI, Azure, Mistral, AWS and self-hosting. Current endpoints, transfer caveats and a procurement checklist.
Lovable, Bolt, and Replit App Due Diligence
Before you raise or sell on a vibe-coded app, three questions decide whether it survives diligence: is it safe, do you own it, can anyone maintain it? The security, IP, and investor checklist.
AI Funding Austria 2026: Open Calls, FFG and Tax Credit
AI funding in Austria, checked 5 October 2026: open FFG routes, closed aws calls, KMU.DIGITAL ending and the 14% research premium.
How to Roll Out AI Internally in 2026
A staged internal AI rollout: align the team, map the process and alternatives, define a baseline, settle data and risk questions, pilot one bounded workflow, then expand or stop on evidence.
Get the next field note
One concise email when we publish. No tracking pixels, and no inbox filler.