AI Agents
Reasoning, planning, memory, agent boundaries, and controlled execution patterns.
Research Lab
Research that turns AI ideas into usable systems.
Project KAI research focuses on what can be measured, simulated, reviewed, and improved: what to automate, what to keep manual, how domain systems learn, and how consequential work can remain governed as capability expands.
Automation
Repeatable workflows, manual approval gates, launch operations, and practical system design.
Trading Intelligence
Market observation, strategy research, backtesting, simulation, risk governance, and Alpaca Paper validation—never presented here as live-money execution.
Memory Systems
Reports, validation records, roadmaps, decision logs, and structured knowledge reuse.
Safety
Human oversight, rollback plans, protected directories, frozen baselines, and no-automation boundaries.
Evidence & Analytics
Structured reports, bounded evaluations, decision records, and honest labels wherever data access or automation remains incomplete.