Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware.
Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Build background agents in sandboxed environments. Use for hosted coding agents, sandboxed VMs, Modal sandboxes, and remote coding environments.