Can AI tell if your script will make a hit film?
Quilty says it can score scripts for hit potential, but early results and The Verge’s reporting raise doubts about its reliability.
Intelligence analysis by GPT-5.4 Mini
Quilty sells a script-scoring tool that claims to estimate narrative quality, audience appeal, and commercial viability before a film is made. The Verge says its mixed AI stack and shaky examples make it hard to trust as a real hit predictor.
Quilty is like a movie judge that reads a script and gives it a score, hoping to guess if the film will be popular. The problem is that movies can change fast, like a race where the weather or crowd cheers can suddenly matter.
Analysis
What Quilty is
Quilty is a startup founded by film producers Simon Horsman and Daniel Wood. Its pitch is simple: upload an unproduced script and get a report that scores the project from 0 to 100 based on narrative quality, commercial viability, audience resonance, and estimated cost. The company says that kind of analysis can help writers, producers, buyers, financiers, and studio executives make better greenlight decisions.
How it works
Rather than using one custom model, Quilty combines several off-the-shelf AI systems. The article says Gemini helps with structure and script breakdowns, DeepSeek is used for financial modeling, and Claude plus ChatGPT handle narrative and character analysis. Wood says the company uses context prompting to reduce hallucinations and likes that it can swap in stronger models as they become available.
Why The Verge is skeptical
The Verge’s core argument is that Quilty has not shown it can reliably predict hits. The article points to a case where Quilty reportedly rated Christy above Sinners, even though Christy was a box-office flop and Sinners became a major success. Horsman and Wood defend the product by saying it is meant to support human judgment, not replace it.
The bigger limitation
The piece argues that film success depends on things a script alone cannot capture. It cites examples like a star’s public downfall changing a movie’s prospects and a viral audience phenomenon boosting another film after release. That means even a detailed AI report can miss the kinds of cultural and real-world events that shape whether a movie lands with viewers.
Key points
- Quilty gives scripts a 0-to-100 score and a report on story, audience appeal, and cost.
- The startup uses several existing AI tools instead of training one custom model.
- The Verge says early examples suggest the system is not a dependable hit predictor.
- The founders say the tool is meant to support human decisions, not automate them.
- The article argues that film outcomes depend on factors a script cannot fully reveal.
If Quilty improves, it could give filmmakers faster feedback before spending more money. It might help teams spot weak story parts, estimate costs earlier, and make better-informed greenlight decisions with humans still in control.
If the scoring stays unreliable, it could push people toward bad decisions while looking scientific. The article also suggests the system is hard to interpret because it is built from multiple models, so users may not know why a script got a particular score.
