Internal memory
Keep current constraints, accepted decisions, owners, next actions, and operating checks in compact AI-readable memory instead of scattering them across chats.
AI systems
Use AI in delivery without handing authority to an unreviewed agent.
The AI lane focuses on source-governed workflows, UAI-style internal memory, project handoff, file handoff, semantic retrieval, local or managed model choices, and human review gates.
Project handoff
Create startup packets, receiver briefs, system profiles, context, constraints, operations, decisions, and test plans that let humans and agents restart work cleanly.
File handoff
Classify uploaded or generated artifacts into content, improvement, and archive paths so agents know what to use, what to improve, and what not to treat as current truth.
Semantic retrieval
Use search and retrieval where they help, but keep provenance, contradiction handling, and source hierarchy visible.
Review gates
Treat AI output as proposed work until source checks, human review, tests, and deployment boundaries say otherwise.
Legacy-code analysis
Use AI to summarize, map, and test legacy behavior without giving it uncontrolled write access to production logic.
UAIX memory support
Add UAI internal memory, project handoff, and file handoff to the AI delivery lane.
The microsite now has a dedicated clean route for AI Memory Handoff. It explains how Long Term Software can use UAIX-style local memory packages to keep agent work restartable, reviewable, and source-bound.