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Aperture GA: model tokens, MCP controls, Projects, and custom permissions

Terms in this piece · Glossary

LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
guardrails — The checks around a model that block bad inputs and outputs — filters, validators, and permission rules the model itself can't override.
MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.
tool permissions — The rules governing which tools an agent may call and which need confirmation — the boundary between a mistake and an incident.