Core Deployment + Advanced Containment
Evidence, authority, failure, memory, human review, hallucination containment, action gates, and release decisions.
Open the labs → DEPLOY TO VALUE · LEARNING SYSTEMS
Learn the system from decision to runtime.
Start with deployment judgment, deepen into agent architecture or GPU performance, then connect the artifacts to production Runtime controls.
AI Agent Design
Agent suitability, boundaries, agency budget, control loops, tools, memory, and context engineering.
Open Agent Design →GPU & Operator Optimization
CUDA execution, memory, tiling, tensor cores, fused operators, profiling, graphs, streams, and GEMM optimization.
Open GPU track →Deployment Missions
Apply the method inside D2V Mock operating environments with evidence rooms, complications, artifacts, and final deployment decisions.
Browse missions →From Agents to Investigation Systems
Bounded diagnostic decisions, hypothesis sets, explicit evidence, independent verification, budgets, and replayable incident reports.
Open the investigation track →