A 1v1 debate app. Two people argue one topic against a clock, and an agent pipeline fact-checks and scores each turn in under 15 seconds.

Online arguments reward whoever is loudest. Who's Right put a frame around them. Two people who disagree, one topic, timed turns, and an AI referee that scores how well each side argues instead of who talks the longest.
Live, turn by turn. Asynchronous, spread over a day. Or local, in the same room, with one phone on the table between the two of you. In local mode, speech-to-text splits the conversation into turns and each side gets a clock.

An orchestrator reads the message. A fact-checking step verifies the claims against live web sources. Then a panel of judges scores the turn on rigor, evidence, rebuttal, clarity and openness, which are the criteria used in competitive debate. I used Google Cloud Platform for the AI and n8n to orchestrate around 45 workflows on a Dockerized server. The pipeline takes under 15 seconds per exchange.

A verdict that answers two separate questions, who was right and who argued best. Then an ELO change, and a coaching report that quotes your own sentences back and points out the biases, the fallacies and the sources that do not hold up.
I built the app, the backend, the database, the UX/UI, the agent pipeline, the brand, the landing page and the go-to-market on my own. I had no coding experience before this. I worked with AI from the first line to the App Store release, and agents automated 80%+ of the operations. The project was incubated at Station F in Paris.

I shipped five major releases and reached 1,000+ downloads. Paying subscribers came, but infrastructure costs stayed above revenue. I paused the app in April 2026 because the running costs were too high.
Shipping a product alone from start to finish taught me more than any course. Next time I will check willingness to pay before building the full pipeline, and the infrastructure bill will be in the business plan from day one.