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Separating AI "context" from models so teams can switch without losing state
- ethanplusai 9mo agoAI tools bind context directly to a model (GPT, Claude, Gemini, etc) which makes switching tools unproductive and collaboration on ideas non existent. We kept running into this internally, so we built a system where context is stored in a structured, model-agnostic layer and translated into model-specific prompts at runtime. The core idea is treating modes as execution layers rather than the source of truth. This lets us switch models, share context across a team or project, and preserve context always. Still early, but curious how others here think about context management across models, especially for collaborative workflows.