Context Engineering — Reliable AI Instead of Hallucinations
summary
Daniel Claessen explains Context Engineering as the foundation for reliable AI systems, arguing that failures often come from missing structured context rather than the model itself. He shows, using a real enterprise example, how to integrate corporate knowledge securely into multi-agent systems, enforce permissions, and prevent hallucinations so AI becomes a strategic asset rather than an isolated experiment.
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chapters (10)
- 0:00Context engineering intro
- 1:04What is context
- 3:33Unstructured data challenges
- 5:41Elevator data AI solution
- 7:04Context engineering steps
- 10:13Validating AI answers
- 12:38Central knowledge architecture
- 14:27Storing new knowledge
- 15:30Context engineering advantage
- 16:57Summary
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