Technical insights on AI engineering, production systems, and industry implementation.
The first generation of agents felt like wind-up toys. Deep agents reason, pace themselves, and keep working until the job is done or the budget runs out—here's how to build one that actually works.
AI agents perceive, reason, and act. The right architecture blends reactive speed with deliberative planning, adds learning and memory, and is instrumented for safety, evals, and observability.
An operator-grade recipe for counter-UAS in low light: make infrared the primary, let RGB assist, and ship it on real edge boxes.
How space-based custody, battle-manager handoffs, and edge-constrained inference shape the AI stack for intercepting maneuvering hypersonics.
Why resource-constrained environments break every assumption about AI deployment, and what that teaches us about building systems that actually work.
We work with government agencies and enterprises building software, IT, and AI solutions.
