Research
AI systems
Practical model workflows for research, operations, support, and decision loops. Focused on reliability, traceability, and useful output under real constraints.
Labs
Engineering lab notes from TRUP
Experiments, internal projects, and technical trials from the systems we build, test, and refine.
Current areas
Small experiments with clear operating value
Prototype
Automation
Small systems that remove repeated work, connect tools, and keep teams moving without adding another process to manage.
Note
Monitoring
Dashboards, checks, alerts, and review loops for the parts of the business that should not depend on memory.
Build
Internal tooling
Focused interfaces for teams that need speed, clarity, and fewer handoffs. Built around the work as it actually happens.
Trial
Experiments
Workflow trials and technical tests before they become production systems. Kept small, measured carefully, and retired when they stop being useful.