Praktijkgetoetste gidsen voor teams die AI in productie brengen
Gegeneraliseerde, patroongerichte write-ups uit echte opdrachten — geen klantnamen, wel alle lessen. Geschreven voor CTO’s, tech leads en staff engineers die de keuze maken, de rekening dragen en de pager beantwoorden.
De artikelen zijn in het Engels geschreven — de werktaal van onze engineeringteams.
- Agentic AI·12 min lezen
Implementing Model Context Protocol (MCP) in Production
Anthropic's Model Context Protocol turned a year of ad-hoc tool-calling hacks into a real interface. Here is what a production-grade MCP stack actually looks like once you leave the tutorial.
MCPLLM agentsLLMOpsAnthropic - Retrieval & Knowledge·11 min lezen
GraphRAG vs Traditional RAG for Enterprise Knowledge
Vector RAG is easy to ship and hard to make excellent. GraphRAG is harder to ship and easier to make excellent — for the right question shapes. This guide is the checklist we run before recommending one over the other.
RAGGraphRAGNeo4jKnowledge graphs - LLMOps·10 min lezen
Shipping LLM Features Safely: Evals, Guardrails and Rollout
The gap between an impressive demo and a feature you can leave running unattended is where most GenAI projects die. This is the playbook we run to close it.
LLMOpsEvalsGuardrailsRollout