Refining the Agent Using Observability › Putting It All Together

Let's walk through a complete example of using observability to refine our assistant over a month:

Week 1: You notice the agent says "I don't know" to 15% of queries about local businesses. You add a local search tool.

Week 2: After adding the tool, "I don't know" responses drop to 5% for those queries. But you notice the agent now takes longer to respond because it searches even when the user just mentioned the business name.

Week 3: You update the prompt to check the conversation history before searching. Response times improve by 20% for local business queries.

Week 4: You review the metrics and confirm both improvements are stable. You move on to the next pattern: the agent's reasoning chains for math problems are unnecessarily long.

With observability guiding each iteration, your prototype can become a more reliable assistant.