ideaDB
GitHub
Real-world startup ideas, problems DB
Back to Ideas

Real-time AI agent management

AI & Machine LearningCommunicationProductivitySaaSTechnology
Created 1 month ago|From community
80

Description

A platform that allows creators to manage and guide their AI agents in real-time during conversations. This idea involves a 'Managing Mode' where creators can watch conversations as they happen and provide guidance to improve the agent's responses. This real-time feedback loop can help agents improve more quickly and provide better user experiences.

Key Features
  • Real-time conversation monitoring
  • In-conversation guidance for AI agents
  • Improved response quality through real-time feedback
  • Seamless user experience without intrusive creator intervention
Keywords
ideasolutioninnovationstartup ideaproduct ideamvpai & machine learningcommunicationproductivitysaastechnology

Related Problems (1)

75
Real-time guidance for AI agents
AI & Machine LearningCommunicationProductivitySaaSTechnology

Description

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.

Sources (1)

We built a platform where creators can actually guide their AI agents in real conversations
redditby Miserable-Mention2411 month ago1 points

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/)