Plutonic Rainbows

I updated all my templates that support image generation to include a high-definition option, while retaining the legacy option because it is likely more cost-effective. The new high-resolution setting now outputs images at 1088×1920 pixels, regardless of whether the orientation is portrait or landscape.

For my Prompt Refiner application, I also added an SQL database to log user feedback ratings on prompts. My plan is to eventually incorporate Reinforcement Learning from Human Feedback (RLHF).

I’ve significantly refined my application’s interface and user experience today by introducing Montserrat as the main font, aligning the two columns so both the refined prompt and AI insights start at the same height, enlarging the text areas for more comfortable typing, and adding a loading spinner that appears whenever a request is processing. I also added a subtle highlight animation for updated content, giving the entire workflow a smoother, more polished feel.

I’ve upgraded my application by integrating a transformer-based model for intent classification, which moves beyond the basic, rule-based system I used initially. Now, instead of relying on simple keyword checks, my app calls a smaller, efficient DistilBERT model that can pick up on more nuanced language patterns. This change makes my pipeline more sophisticated and better prepared for future improvements, such as fine-tuning on my own dataset to achieve domain-specific accuracy.

In addition, I’ve tackled the stability and resource issues I faced before by using a smaller model and explicitly setting it to run on the CPU. This reduces the risk of crashes or silent failures. I’ve also maintained my spaCy-based entity extraction and GPT‑4 integration for generating insights, so my app still returns refined prompts and thorough AI responses. Overall, I feel that my setup is now more robust, extensible, and aligned with best practices in modern NLP.

Now available for Pro users, with Plus users gaining access next week. I tested it through the API — it’s impressive but significantly more expensive than other models. Hopefully, the cost will decrease soon.