Hi HN, I'm a computer systems engineering student in Mexico who switched from film school. I built CineGraphs because my filmmaker friends and I kept hitting the same wall—we'd have a vague idea for a film but no structured way to explore where it could go. Every AI writing tool we tried output generic, formulaic slop. I didn't want to build another ChatGPT wrapper, so I went a different route. The idea is simple: you input a rough concept, and the tool generates branching narrative paths visualized as a graph. You can then sculpt those branches into a structured screenplay format and export to Fountain for use in professional screenwriting software. For the training data, I spent a month curating 100 films I consider high-quality cinema—Godard, Kurosawa, Brakhage, and others. I built a 1000+ line extraction pipeline using Qwen3-VL to pull narrative structure, characters, and themes from each film with subtitles enabled. From those extractions I generated a 10K example dataset and fine-tuned Qwen2.5-7B-Instruct with a LoRA optimized for probabilistic story branching. The graph visualization is built with React Flow. We've been using it ourselves to break through second-act problems and explore narrative directions we wouldn't have considered otherwise. The branching format forces you to think in possibilities rather than committing too early. You can try it at https://cinegraphs.ai/ — the free tier gives you 3 projects. Would love feedback on the generation quality and whether the graph interface feels intuitive for your workflow.