Inconsistent Output Tone in BRAT Generator

Users have reported that the brat maker sometimes produces responses that don’t match the intended “bratty” tone. Instead of generating witty, confident, and playful remarks, the model occasionally outputs overly formal or neutral text. This inconsistency reduces the entertainment value and makes the generator feel less authentic to its branding.

Possible Causes:

Lack of fine-tuned examples emphasizing the target tone (sassy, playful, confident).

Insufficient weighting for style-related keywords in the response generation algorithm.

Random seed variation causing tone drift across sessions.

💡 Proposed Solution:

Data Refinement:

Curate a larger dataset of bratty, humorous, and attitude-driven text samples to reinforce stylistic consistency.

Tone Control Parameter:

Introduce a “brat intensity” slider (e.g., levels 1–5) allowing users to control how bold or cheeky the output becomes.

Fine-Tuning & Validation:

Re-train the generator with tone-specific loss functions and validate through user feedback sessions.

Consistency Layer:

Implement a post-processing filter that scores outputs for sassiness, rejecting or regenerating weak ones.

✅ Expected Outcome:

After applying these changes, the BRAT Generator will deliver consistently witty, confident, and playful content aligned with its intended personality — enhancing user engagement and satisfaction.