Creators of AI agents often struggle to improve their agents' performance during real-time conversations. Currently, most prompt-based agents only get better after the fact, as creators don't see where they fail until the conversation is already over. This lack of real-time guidance can lead to suboptimal user experiences and slower improvement cycles for AI agents.
Pain Points
- Lack of real-time feedback for AI agents
- Suboptimal user experiences due to untimely improvements
- Slower improvement cycles for AI agents
- Difficulty in identifying and correcting agent failures during conversations
We’re looking for a few early testers for Aivelle. Aivelle is a platform where you can build your own AI agent, but the main thing we’re testing is something we call Managing Mode. Most prompt-based agents only get better after the fact, because creators don’t see where they fail until the conversation is already over. Managing Mode is our attempt to fix that. When Managing Mode is enabled, the agent’s creator can watch conversations in real time and leave guidance to help the agent respond better. Think tone, direction, missing context, or guardrails. From the user side, it still feels like a normal chat with an AI, but the creator can coach the agent behind the scenes so the answers improve while it’s being used. We’re very early and we’re trying to learn what feels helpful vs what feels intrusive, and whether this actually makes agents noticeably better in real usage. If you’re willing to try it and tell us what’s confusing, annoying, or unexpectedly useful, I’d really appreciate it. Even 5 minutes of honest feedback is valuable. [www.aivelle.net](http://www.aivelle.net/)
Aivelle is a platform where creators can build their own AI agents and guide them in real-time conversations using Managing Mode. This feature allows creators to provide real-time feedback and improve agent responses during live chats.