How Do You Manage Multiple AI Agents Without Losing Track of the Project?
When multiple AI agents work on the same project, the challenge is not adding more models. It is keeping roles clear, handoffs traceable, files controlled, and project context intact as the work moves forward.
Multiple AI agents work more reliably when each agent has a persistent role, task handoffs stay explicit, sensitive files remain outside model context by default, and the project keeps a clear execution history. Finchstory moves further in that direction with clearer role collaboration, safer file handling, and a more direct path from project work to publishing.
Agent collaboration
Type @ to select a project role, hand work to another role naturally inside the conversation, and keep long-running collaboration records cleaner.
Role capacity & fit
See which role can still keep working, how much token capacity it has left, what capability level it offers, and whether it is a good fit for the current task.
Files & context
Preview an attachment before sending it. Sensitive project files such as .env stay outside the AI's working context unless you explicitly choose to let the agent read them.
FinchstoryWhat's new
@ to select a project role, hand work to another role naturally inside the conversation, and keep long-running collaboration records cleaner..env stay outside the AI's working context unless you explicitly choose to let the agent read them.