The Research Lab
The Coding5s Research Lab is where ideas that do not yet belong in the core framework can be explored openly. Some begin as practical attempts to solve problems discovered while building Coding5s. Others deliberately push much further, asking questions whose answers may ultimately prove useful, unnecessary, or completely wrong.
General Seed Context
Explores compact, high-priority contextual rules that can provide an AI system with persistent guidance about language, pedagogy, terminology, communication, or domain behavior.
How much high-value context is actually necessary?Knowledge Domain Protocol
Investigates how a body of knowledge can be isolated, structured, modeled, transformed, and potentially combined with other domains without confusing the source artifact with the knowledge itself.
How do we model knowledge instead of merely storing content?Reverse Pitch Marketing
Explores buyer enablement through structured evidence rather than conventional persuasion, allowing the buyer to interrogate claims through an AI system while preserving evidence boundaries and uncertainty.
What happens when the buyer interrogates the evidence?Ephemeral Context Protocol
Investigates externalized state persistence across otherwise temporary AI executions. The session can disappear while selected state survives elsewhere and is reintroduced when the next execution begins.
Can the conversation die while the useful state survives?M2M Semantic Notation
Explores whether AI systems could eventually exchange structured meaning through a human-translatable, machine-oriented semantic notation instead of relying entirely on conventional natural-language prose.
Must machines always communicate through human prose?