Plutonic Rainbows

Plutonic Rainbows

Data-Driven Enhancements

Today, I integrated several new features into my prompt evaluation app to enhance its functionality and data-driven personalisation. I expanded the rating scale from a simple binary choice to a 1-to-10 scale, allowing for more nuanced feedback from users. I also updated the prompt generation process to keep prompt text and seed words separate, ensuring that the descriptive content is richer and more varied. Additionally, I incorporated a trained machine learning model into the prompt selection function — this model weights candidate one-liner prompts based on historical user ratings, and it gracefully falls back to random selection if the model isn’t available.

I further enhanced the admin dashboard to provide a clear visual representation of prompt performance. Using Chart.js, I set up a bar chart that displays the average rating and count for each prompt description, and I implemented a feature to highlight the top three performing prompts with distinct colours. These updates, along with maintaining user authentication and basic administrative routes, have made my application more sophisticated and have paved the way for future improvements in personalisation and data analysis.

Later in the day, I added a comments section for users — this will also be saved to the SQL database.

Building a Dynamic Prompting App

Today, I integrated several key features into my prompt evaluation app. I enhanced the application by implementing dynamic prompt generation with AJAX, transitioned from CSV storage to an SQLite database using SQLAlchemy, and added an admin dashboard complete with Chart.js visualizations to review evaluation data. I also introduced user authentication with Flask-Login, enabling secure registration, login, and logout functionality, and I improved navigation by adding clear links between the prompt evaluation page and the admin dashboard.

Sphaîra

Persico’s work on the album opens with a burst of real-world textures that blend found sounds, birdsong and ambient recordings into a soundscape that feels both contemporary and steeped in history. On tracks like ‘The Center Cannot Hold’ and ‘Brutal Threshold’, her inventive layering of pebbly noises and breathy vocal drones creates an impression of communing with the past, all while utilising modern sound manipulation techniques.

Throughout the album, Persico, with help from Belgian sound designer Koenraad Ecker, transforms everyday recordings into rich tapestries of audio that hint at sacred, folk and operatic traditions. This process reveals the hidden energy of old spaces, as elements such as distant police sirens and corroded metallic scrapes gradually expose the deep, archival layers embedded in the recordings.

The album continues this experimental journey by exploring various sonic territories on tracks like ‘Maze’, ‘Rashid Karami’, ‘Kairos’ and ‘Voices Organ’. Whether it’s the evocative call to prayer merging with environmental sound or the industrial rhythms and meditative mantras that punctuate the pieces, each track offers a fresh perspective on how the legacy of historic spaces can shape and inspire the modern auditory experience.

You can purchase the album here.

EU gets OpenAI Deep Research

Thankfully, just a few days after it was announced for professional users in the United States, the European Union has finally gained access to this new technology. I tried it out today and found it exceptionally impressive. It actually employs the full 03 model, which has yet to be released for public use. The power of this new technology is that it can search the entire web and collect real-time information before reasoning about that information.

Prompt Evaluation

I have built a lightweight Flask web application featuring a binary evaluation system with 'Yes' and 'No' buttons and integrated AJAX to dynamically load new prompts without reloading the page, while storing user feedback in a CSV file. I enhanced the interface by splitting the prompt into two distinct boxes — one for the description and one for the seed words — styling the seed words in bold without a redundant label, matching the font sizes, and adding complementary border colours, all while retaining a hidden comment box for future feedback. Moving forward, I plan to expand the list of available prompts and transition to using SQL for storing the results.