Practice

Agentic AI engineering

Agent orchestration, local-model operations, memory, resilience, observability, and AI adoption through pilot projects.

Scope

Applied capabilities

Capability-based multi-agent routing and tool-enabled workflows
Circuit breakers, dead-letter queues, offline buffers, and recovery
Local LLM routing, GGUF operations, and resource-aware model loading
Graph and vector memory, event buses, and real-time interaction
Pilot design, controls, evidence, and governance for AI adoption

In practice

Projects and contributions