The Frustration of Inconsistent AI: When Gemini 3.1 Pro Falls Short
In the world of Google Workspace, AI tools like Gemini Pro offer the potential to transform productivity and automate repetitive tasks. For organizations leveraging AI for structured data transformation, consistent performance is essential. However, a recent Google support forum thread (Thread #447918810) reveals a significant problem with Gemini 3.1 Pro: its inability to consistently adhere to clear user instructions, especially in tasks involving structured code generation. This is more than a minor error; it represents a major obstacle for businesses striving for dependable, automated workflows.
The user, relying on Gemini daily to generate JavaScript quiz data from structured raw text, described a frustrating situation: tasks that worked perfectly one day would inexplicably fail the next, even when employing the exact same model, template, workflow, and almost identical prompts. This isn't a creative writing challenge; it's a precise data transformation task with a fixed template, which renders this inconsistency particularly perplexing.
The Challenge: Gemini 3.1 Pro's Unpredictable Behavior
The fundamental issue isn't that Gemini cannot perform the task itself—as it has demonstrably completed the identical workflow numerous times previously. The real problem stems from its non-deterministic behavior for structured, non-creative tasks. The original poster highlighted a clear disparity between expected and actual behavior:
Expected Behavior: Precision and Adherence
- Adhere precisely to the specified template. Alter solely the designated sections
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