video1.0<iframe src="https://www.loom.com/embed/12337ec57609498cbdc638c8e1c58f92" frameborder="0" width="3342" height="2506" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>25063342Loomhttps://www.loom.com25063342https://cdn.loom.com/sessions/thumbnails/12337ec57609498cbdc638c8e1c58f92-fa2c03f3e7f67ba0.gif974.714This Loom explains why prompting and context are critical for getting strong results from an AI agent. It shows that agents rely on the input prompts and provided context, and recommends uploading business documents into a dedicated area (markdown or PDF) so the agent can answer specific questions accurately. It also covers four key questions to define for each agent: what it should do, what context it needs, what a successful output looks like, and what requires approval. Finally, it explains that memory is limited to a few thousand characters because the entire memory file is sent with each query, and advises keeping it short while using documents and skills for deeper reference.