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The in-order path for newcomers to local AI: from basic concepts to installation and your first model.

5 articles in this path

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1.FundamentalsBeginner
What is local AI and why you need it
A practical explanation of local AI: running a model on your own hardware instead of the cloud. Differences from cloud AI, the concrete benefits (availability, privacy, predictable cost, full control), honest limits, and a five-minute start with Ollama.
September 8, 2026 · 4 min read
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2.PrivacyBeginner
Privacy and GDPR: What Local AI Changes
Extra-EU transfers, sub-processors and Arts. 5, 25, 28, 32, 44: what the GDPR really says about cloud vs local, and what is still owed even with in-house AI.
June 10, 2026 · 6 min read
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3.GuidesIntermediate
Running LLM Models Locally: From First Install to First Working Model
Learn how to install and use large language models on your own computer, without relying on cloud services.
June 10, 2026 · 7 min read
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4.FundamentalsIntermediate
How to Choose Your First Local AI Model
The three criteria for picking your first local model: use case, memory (with the exact formula) and context, with the recommended models for 8, 16 and 24 GB.
June 9, 2026 · 6 min read
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5.GuidesIntermediate
Open WebUI: the interface for your local AI
Open WebUI is the full web interface for your local models: Docker install, connecting Ollama, per-model customization, document RAG, and its honest limits.
September 18, 2026 · 6 min read

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