Let the Agent Complain: A Feedback Loop for Better AI Tools
When an AI agent fails, your first instinct is probably to open the logs. You spend some time scrolling through traces, screenshots, and tool calls like a detective, reviewing security footage, trying to piece together where it all went sideways. But this footage only shows you what happened. It rarely tells you why the task was harder than it needed to be.
Now picture a new hire who gets stuck on their first day. You could review hours of hallway video to reconstruct their confused wandering, or they could just tell you, "Nobody gave me a login for the billing system”. One of those is a lot faster.
Most AI agents are only capable of giving you the footage. They fail quietly, and then you’re left to reverse-engineer the reason behind what went wrong. But what if we let the agent do the other thing and simply complain? Lovable popularized...
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