Continuous Feedback and Improvement › When to Stop Improving

Michael BrenndoerferAugust 4, 20251 min read
AI Agent HandbookAll chapters
Part 11 of 15Evaluation - Measuring Your Agent's Performance
Chapter 32Continuous Feedback and Improvement › When to Stop Improving
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Here's a question you might be wondering: when is the agent "good enough"? When can you stop this cycle?

The honest answer is: probably never, if you want the agent to remain useful over time. User needs evolve, the world changes, and new edge cases will always emerge. But that doesn't mean you need to invest the same level of effort forever.

In the early days, you'll make frequent, substantial improvements. The agent will have obvious gaps and issues. This is the heavy lifting phase.

Over time, improvements become more incremental. You're polishing edges, handling increasingly rare edge cases, and making small refinements. You might shift from weekly improvement cycles to monthly or quarterly ones.

The goal isn't perfection. It's to have an agent that handles common cases reliably and degrades gracefully on unusual ones. If your success rate is high (say, above 90%) and staying stable, and users are generally satisfied, you've reached a good equilibrium.

But stay vigilant. Check in periodically. The moment you stop paying attention is often when issues start creeping back in.