How we orchestrate 50+ microservices using local LLMs and vector databases — eliminating cloud dependencies and achieving sub-100ms agent-to-agent handoffs in a fully private AI infrastructure.
Building retrieval-augmented generation systems that power intelligent sales messaging and conversion optimization at scale.
Patterns for self-healing infrastructure using agent-based anomaly detection, automated rollbacks, and predictive scaling.
Designing zero-trust security layers with AI-powered behavioral analysis — protecting data pipelines without cloud exposure.
How we combine browser localStorage with Qdrant vector databases to create persistent, cross-session memory for AI assistants.
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