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Insights
Practical guides for your team and insights into software, cloud and AI. Blog articles are currently published in English.
Practical knowledge
From enquiry to task: a practical AI automation workflow covering data, human approval, failure handling and a clearly scoped pilot project.
Read the guideHow an internal AI assistant finds business knowledge with sources. Understand data, access permissions, RAG, quality checks and the main cost factors.
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The EU AI Act's August 2, 2026 deadline changed: high-risk duties are delayed, transparency rules are not. What applies now — from an EU-based AI team.
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Prompt injection went from lab curiosity to documented attacks on agents and browsers. What the 2026 research says — and how we engineer LLM apps against it.
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Self-hosted LLMs reached frontier quality in 2026 — GLM-5.2, DeepSeek V4, Qwen 3.5. When private AI on EU infrastructure beats the API, and how we run it.
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AI agents in production fail in predictable ways — research says 40%+ of projects will be cancelled. How we run agent teams that clients trust daily.
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The Model Context Protocol grew from Anthropic side-project to Linux Foundation standard. What MCP means for real agent systems — and its security fine print.
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The production AI stack Nexuri ships in 2026 — LangGraph, GraphRAG, Qdrant, vLLM and MCP — and why we pick each, hosted in the EU.
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RAG pipeline development in 2026: hybrid search, reranking, evaluation and the context-engineering shift — lessons from systems we run in production.
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Data residency isn't a checkbox. Why Nexuri runs every workload on AWS EU regions, GDPR-compliant by default — and what it means for your data.
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GraphRAG vs RAG in production: fresh 2026 benchmarks show where knowledge graphs win by +27 points — and where they just burn money. Our field notes.
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AI automation for businesses, minus the hype: which workflows to automate, RAG vs agents, build vs buy, EU compliance — from a team that ships it daily.
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