Agent Loop
An agent loop is an iterative cycle where a system observes context, selects an action, executes it, and updates its plan.
Category
These terms explain how agents are composed, grounded, and protected against common attacks.
Concepts used when an AI system plans actions and interacts with tools and data.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
An agent loop is an iterative cycle where a system observes context, selects an action, executes it, and updates its plan.
Tool use is when an AI agent invokes external functions or services (like search, code execution, or databases) to complete tasks beyond pure text generation.
A vector database stores embeddings so an application can retrieve semantically similar documents for tasks like search or RAG.
Prompt injection is an attack where untrusted content is crafted to steer a model into ignoring rules, leaking data, or taking unsafe actions.