Seven Rules for Building Data-Intensive Systems
These rules come from analyzing 37 reference implementations of concepts from Designing Data-Intensive Applications — storage engines, consensus protocols, r...
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Stop Fine-Tuning, Start Remembering
Your organization wants domain-specific AI.
The Dirty Pipeline: Why Multi-Agent Systems Need Filters
Every stage in a multi-agent pipeline can produce an incorrect answer.
Your AI Needs an Epistemology, Not an Ontology
Every enterprise knowledge platform builds the same thing: an ontology. Objects, links, properties. A factory has machines. A machine has a maintenance sched...
External Epistemic Memory: What It Is and Why It Matters
Every AI conversation starts cold. Your agent doesn’t remember what it figured out yesterday. It doesn’t know what it concluded last week. It will re-read th...