The software begins to struggle with remembering search targets once the story exceeds approximately 4,096 tokens, which roughly translates to around 3,000 words.

Beyond this point, the AI's ability to recall specific details or accurately locate searched terms diminishes significantly. This limitation arises from the constraints of the model's short-term memory capacity.

While it can maintain context and continuity within smaller segments, processing longer narratives becomes increasingly challenging. Users may notice repetition, loss of coherence, or failure to recognize previously mentioned elements as the story grows.

To mitigate this issue, consider breaking lengthier stories into manageable chapters or sections. Summarizing key events periodically can also aid in preserving essential plot threads and character development throughout extended narratives.