Generations RPO — R&D feasibility study: Brain Protocol for multi-tenant RPO deployment

WESP memory model formalisation for multi-tenant environments
An AI agent that assists a recruitment team has to remember things, and not all memory is the same kind. There is what it is holding in mind right now, what happened in past conversations, what it knows as established fact about a client or a candidate, and how it has learned to carry out a given procedure. Today that distinction works well in a single installation. This day writes it down properly for the case where several client accounts run on the same platform: what each type of memory is allowed to hold, how long it lives, and what happens to it when an account is opened or closed.

Inter-environment data isolation analysis
If two client accounts live on the same platform, the single question that matters is whether anything from one can ever surface in the other. This day maps every point where the two touch - storage, search, shared services, backups - and states for each one whether the separation is actually enforced by the system or merely the result of how it is currently configured. The difference matters: the first holds under pressure, the second is a promise. The findings include the points that are not solid today and what closing them would involve.

Cross-LLM compatibility and execution consistency benchmark
The platform is designed not to depend on one single AI supplier. This day tests that claim instead of assuming it: the same tasks are run against Claude, Gemini and Mistral, and the results are compared for correctness, consistency between repeated runs, cost and speed. The outcome tells you where the models are interchangeable, where they are not, and what it would cost to switch supplier if commercial terms, availability or regulation ever made that necessary.

Scaling architecture recommendations and technical report
The last day turns the three previous ones into something usable. It sets out what the architecture should look like as the number of client accounts grows, which changes come first and which can wait, and what each one implies in terms of work and risk. Everything is then consolidated into the final report of 20 to 30 pages, in English, with the benchmark data attached as annexes, ready to be read by your technical lead and filed as supporting documentation.