You can ask most of the big AI models to create files (which could be a document, spreadsheet or slide deck) but you can also use it to write code to create a website or run a simulation. There is another page here with prompts for simulations or roleplaying (which can require the Ai to write code). Here is an example of how to create a searchable data base that combines vibe coding and agentic use.
Women Composers of Solo Piano Music
I wanted to combine vibe coding and agentic AI in a hard task. I also have a long interest in playing piano music by women composers (and helping my students find this repertoire). The internet has made much more rare sheet music available, but of course you have to know for whom to look. I wanted to see if the various AI models could create a large searchable database. I also wanted to see if it could duplicate or exceed what was in the landmark 2002 A Guide to Piano Music by Women Composers, Volume I, by Pamela Youngdahl Dees (which includes 150 composers). I deliberately did not suggest the website Piano Music She Wrote because I did not want to use that important scholarly work (and it is behind a paywall) but I also wanted to know if an AI web crawl could find the 2500 works that took months and months of scholarly research to catalogue.
- You can compare the two best outputs here
- Claude Opus
- Codex 5.2 https://josebowen.github.io/PianoWomen/. Note, when you click on a composer the info is displayed at the top of the page–it works better for searching.)
- More below with some analysis.
The Prompt
- Note the emphasis on workflow in this prompt. Steps 1-3 are just vibe-coding while steps 4 and 5 are agentic.
- STEP 1
- Start by doing an exhaustive search of published academic work for resources about 19th century women composers (born from 1800 to 1900) who wrote classical piano music. Look for books, articles, archives (including national and specialized archives), encyclopedias, indexes and websites that list women who published classical compositions or that list published compositions by women or index sheet music.
- Examples include A Guide to Piano Music by Women Composers, vol 1: Composers born before 1900 by Pamela Youngdahl Dees. Be aware that sources are often incomplete so find multiple sources.
- STEP 2
- Your job is to create a searchable data base of 19th century female composers of piano music to include any women who published verifiable sheet music, born between 1800 and 1900. This should be a global index but include all European countries. Your task is to make a comprehensive list. Do that my searching Wikipedia, the IMSLP website, rare piano scores and the sources discovered in step 1.
- Then make a nicely-formatted list that is organized by country and within that a chronological list of women composers born in that country.
- Include the key and duration of each piece.
- Include a link to sheet music or archives or published editions where they exist.
- List only piano compositions (in opus or chronological) and only list women composers who wrote solo piano compositions. Use this format:
- COUNTRY
- Last name, First name (birth and death dates)
- Brief biographical information
- Piano composition opus 1 (duration, key, and links to sheet music)
- Piano composition opus 2 (duration, key, and links to sheet music)
- STEP 3
- Create the code (and html file) for a website that provides searchable access to this data base and is well-formatted and easy to use. An excellent model is that of the Swedish Musical Heritage https://www.swedishmusicalheritage.com Search this and other national archives as resourses but also create a new website that has these features but is exhaustive for women piano composers of the 19th century.
- Searchable elements should include country, composer name, title, key and piece duration.
- STEP 4
- Create and deploy a public website where I can share this easy-to-use searchable database.
- Ask me any clarifying questions before beginning.
- STEP 5 (not all models were agentic)
- Look through my pdf library and identify pieces I am missing that are not also available as pdfs downloads from IMSLP and find archival sources on WorldCat and then order them for me from SMU Interlibrary Loans.
Results
- Gemini Pro (Free). https://gemini.google.com/share/26c109d103df
- I started with Gemini which needed a few follow-up directions, but it was fast and it deployed a decent website of 67 composers and 295 pieces. There are no links to sheet music, but it did find and correctly identify works by Cecilia Arizti, a Cuban woman who is not listed is any of the standard sources above and whose sheet music is only available in an OOP book and not online.
- Claude Sonnet 4.5 (Free) https://claude.ai/public/artifacts/5abe9296-3961-4d00-b445-8b02594d43a3
- Free Claude divided the work into tranches and eventually found 30 composers (after several “keep going” prompts) but it triple verified (part of my system prompt). It found more composers ,but needed paid credits to add them.
- Claude Opus 4.6 $20/month Paid)
- Even with paid Claude, I ran out of credits periodically and had to wait hours to have it expand beyond the initial 67 composer (but eventually to 253 composers—the highest total). It included a good bibliography of sources created short bios and found figures not in any of the standard references including Black composers Catalina Berroa and Estelle Ricketts (where scores are very hard to find).
- It admitted that with the available time it could not be exhaustive, but it made up some pieces and created some links that did not work. Follow-ups corrected much of this It seemed very upset about the Western bias and said many versions of “Europe still dominates (~60%) — and that ratio is structural, not a research failure. IMSLP digitizes public-domain scores, which overwhelmingly come from European archives. Women composers from Africa, most of Asia, and the Middle East either composed in non-piano traditions, remain under copyright (died after 1953), or had their manuscripts never digitized.” (Some of that might be my underlying system prompt to avoid Western bias, but it was absent from the other models.)
- OpenAI Codex 5.2 Thinking (Free for this month) https://josebowen.github.io/PianoWomen/
- Codex sits on my laptop and created files in a folder on my laptop, but that also meant it stopped when I put my computer to sleep. It ran as an html file on my computer but I had to load the files to github to share them). It worked for a hours and hours on this and found 230 composers, including Cecilia Arizti (although it only found two works, but included correct links to the Library of Congress records.) . Most of the pieces and links are real and work, although the formatting is less good than Claude. Codex also required some follow-ups:
- 1. If a woman composer listed did not write piano music , then eliminate her from the list. This is a data base of only women composers who wrote solo piano music (and were born between 1800-1900). For example, Lili’uokalani (1838–1917) did not write music.
- 2. Consolidate the list of countries and use only the most common name used today. For example, consolidate the Austri-Hungary, Austrian Empire etc into just Austria. Remove the word “Kingdon” from the country list and consolidate Denmark and the Kingdon of Denmark lists into just Denmark. Use common modern names for countries.
- Kimi 2.5 Agent (Free). https://2e6vvvbcy5vhi.ok.kimi.link
- The Kimi found only 27 composers (but I was out of credits after one follow-up). Kimi asked me a few clarifying questions and was quickly finished (10 minutes?) Some of the pieces are false with links to the right website but to non-existent pieces. No keys or durations. Still, as an agent, it deployed the website on its own and all I had to do was click the link.
- Undermind.aihttps://app.undermind.ai/report/80a0cbfae57617da3362dca0aba219444780375d1b0ba4c3f3099e55b40383ef
- Undermind is just an academic literature review tool so I could only have it create a bibliography. It does not search for websites but most of the books and articles it found were not used by the other Ai tools.
Jewish Composers of Piano Music
This is how AI creates work. After the first experiment I thought I could do the same for Jewish composers. I did this quickly with free ChatGPT but it was a similar prompt (and with the agentic steps of downloading the actual sheet music and making ILL requests.)