Context Engineering with ExoChat: Parsimony in Action

I wrote about the principle of parsimony in context engineering a week ago. That article defined parsimony for developer workflows: specs, cursor rules, agent instructions. The core idea: a context is parsimonious when nothing in it can be removed without introducing ambiguity or degrading the result. That definition holds. But it was scoped to one audience: developers building with AI tools. The same problem (what enters the context window and at what detail level) exists in every LLM-based product that talks to users. Customer support bots. Financial advisors. Mental health assistants. Pre-sales qualification flows. Any system where an LLM conducts a multi-turn conversation with a person. Context engineering in dialogue systems is the same discipline as in development: you manage what the model sees at each step. The principle of parsimony tells you how: only what's needed, nothing else. The missing piece is a tool that lets you practice context engineering at scale, without writing