Training Mode
Makes Ana ask clarifying questions and avoid assumptions. When on, the agent is told it may lack full context, so it stays cautious about assumptions and asks clarifying questions before answering rather than guessing at intent. It’s an org-wide system-prompt nudge — not a tool gate — so it changes how Ana reasons, never what it can access.| Training Mode | Behavior |
|---|---|
| On | Ana flags missing context, surfaces its assumptions, and asks clarifying questions before answering |
| Off | Ana answers directly, inferring intent from the request without pausing to confirm |
Response Methodology
Adds a per-chat dropdown to pick how thorough versus fast and cautious replies are. When enabled, a Methodology dropdown appears in the chat input, letting users choose per conversation how thorough versus fast the agent is and how many assumptions it makes versus clarifying questions it asks. When disabled, the dropdown is hidden and all chats run on the default methodology. The available methodologies are:| Methodology | Behavior |
|---|---|
| Adaptive | Ana judges per request how much depth and clarification each task needs |
| Prescriptive | Ana moves quickly and decisively, making reasonable assumptions to deliver a direct answer |
| Thorough | Ana prioritizes depth and completeness over speed |
| Careful | Ana minimizes assumptions and asks clarifying questions before acting |
| Ontology Building | Available with Ontology 3.0; Ana works with you to build and refine the semantic layer as it answers |