Update _posts/2026-05-18-introducing-voting-agent.adoc

Co-authored-by: Clement Escoffier <clement.escoffier@gmail.com>

Author: mariofusco

_posts/2026-05-18-introducing-voting-agent.adoc

@@ -298,7 +298,7 @@ StoryEditor storyEditor = AgenticServices.agentBuilder(StoryEditor.class)
 
 In this configuration, the editor starts with `baseModel()` for all iterations where the critique score is 7.8 or below. Once the critics' average score exceeds 7.8, indicating that the story has reached a level of quality where finer editorial judgment matters, the selector switches to `enhancedModel()` for the subsequent iterations.
 
-Looking back at the execution log, this transition is clearly visible. During the first two  iterations the story editor is invoked with `gpt-4o-mini`. In the third iteration, after the critics' average score crosses the 7.8 threshold, the editor transparently switches to `gpt-5.1` for the remaining refinements.
+Looking back at the execution log, this transition is clearly visible. During the first two iterations, the story editor is invoked with `gpt-4o-mini`. In the third iteration, after the critics' average score crosses the 7.8 threshold, the editor transparently switches to `gpt-5.1` for the remaining refinements.
 
 This approach provides a practical way to balance cost and quality. The cheaper model handles the bulk of the iterative refinement, and the more expensive one is brought in only for the final passes where its additional capabilities can make a real difference. The decision is driven entirely by the runtime state of the agentic system, with no manual intervention required.