Notes from the lab: agents, sovereign infrastructure, data, visibility and PropTech.
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AI deployment in public administration in 2026: what a government office can delegate to AI, what it cannot, AI Act and GDPR transparency requirements for local government units. Practical guide.
A multilingual AI assistant serves customers in their own language without separate bots per language. Architecture, language detection, guardrails, and GDPR in practice.
Off-the-shelf solutions launch in days, custom wins on data, integration, and cost at scale. Honest decision criteria for build vs. buy when deploying a corporate AI assistant.
What are embeddings and semantic search, how they work in practice, and when to implement them in a company knowledge base or product.
How an execution agent differs from a chatbot and how to deploy it safely in a real business process.
How an open data portal powers a developer website with reliable neighborhood information—legally, automatically, and with SEO benefits.
Why self-hosted LLM and RAG on your own knowledge give you control over cost, privacy, and provider.
Answer Engine Optimization is a new layer of visibility—alongside classic SEO. How to measure and build it.
When in-house position and citation monitoring beats SaaS subscriptions: cost at scale, data control, and metrics no one sells.
Why listing portals built on plugins get bogged down in manual work—and how to build them like a system.
Scraping isn't illegal by definition—but it has limits. Personal data, terms of service, database rights, and technical best practices.
Answer Engine Optimization is the fight for citations in AI responses, not for position in links. What actually increases citability.
Concrete takeaways on AI agents, sovereign infrastructure and visibility in AI models — no spam.
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