I analyze how systems behave before failure becomes visible.
My focus is not breakdown. My focus is the conditions that precede it:
- drift
- loss of correction capacity
- system-level divergence under local correctness
- decision systems under constraint
- failure boundaries and recovery limits
Risk-aware mission planning framework for unmanned systems featuring route generation, threat analysis, constraint validation, mission replanning, and human-machine decision support.
https://github.com/csb1105/Autonomous-Mission-Planner
Doctrine-aligned AI red-team operations repository containing adversarial prompt suites, multi-turn test sessions, failure-mode reports, and machine-readable evaluation artifacts.
https://github.com/csb1105/ai-redteam-artifacts
A systems visualization showing how correction capacity, drift, and failure boundaries interact before visible breakdown.
https://csb1105.github.io/drift-stability-visualizer/
AI architecture case studies focused on design decisions, trade-offs, implementation strategy, and system behavior.
https://github.com/csb1105/AI-Systems-Design-Case-Studies
- AI systems
- autonomous systems
- mission planning
- decision systems under constraint
- risk-aware planning
- failure-mode analysis
- pre-failure systems
- human-machine decision support
Failure is a late signal.