future
the homebase project is still in development.
The systems, architecture, and tests described on this site represent the current stage of the work. Development does not follow a fixed roadmap. Instead, the project evolves through observation, testing, and gradual refinement as new limitations and opportunities are discovered.
areas of exploration
One area of ongoing exploration involves the limitations of memory in current AI systems.
Most conversational AI platforms rely primarily on short conversational context rather than a structured memory system designed for long-term continuity or reasoning.
While some platforms provide small amounts of cross-conversation memory, this capability is limited and cannot currently be expanded, controlled, or structured by system designers.
Because the current homebase systems operate directly through the ChatGPT platform, they must work within those limitations. The architecture itself does not control long-term memory.
Introducing structured memory would likely require operating through an API-based implementation where the homebase architecture can manage stored information, retrieval rules, and continuity across sessions.
For this reason, future exploration of structured memory and API-based deployment are closely connected.
educational tools and materials
Another area of exploration involves expanding the educational systems built on the homebase architecture.
The current education assistants are designed to support curiosity-driven learning while remaining developmentally appropriate for younger students.
Future work may explore whether additional AI-supported learning materials could be created around this structure, such as guided learning paths, structured knowledge libraries, or other educational tools designed to help students explore subjects safely and thoughtfully.
As with the rest of the project, any expansion would follow the same principles: clear structure, careful testing, and development guided by observable results.
development approach
The project continues to follow the same approach that produced the current architecture.
Changes are introduced carefully, tested against the existing evaluation framework, and compared against the principles defined in the foundation. Development moves forward only when a change improves reliability, clarity, or system behavior under testing.
The goal is not rapid expansion, but steady improvement guided by observation and measurable results.