Today a reader skims your first ten pages and writes the coverage note that decides whether anyone else opens it. You never see that note.
We read the whole script and send you a report you can act on, within 24 hours.
We take privacy and security seriously.
One number, out of 100, judged against the standards of your genre. Commercial and IP potential are assessed separately.
Three scores: quality, commercial viability, and potential IP value. Plus the produced films you were measured against, what's working, what's holding it back, and the strongest case for and against your script.
If your score comes up short, you get the five changes that would move it most — named plainly, with the chapters they live in. Not "tighten the pacing." Which chapters drag, and what to do about them.
See a real report, start to finish →
Quality comes back as a number out of 100, because it decides whether your book reaches agents and it's the one we hold to that standard. Commercial and IP value come back as a band — low, average, high, or extremely high. That's deliberate: nobody reads a book differently at 47 than at 51, and printing two digits would claim a precision those two judgments don't have.
We're inverting the model. The old way, authors push manuscripts at agents and hope. Our way, agents pull from a filtered, ranked, pre-qualified pool.
Better for both sides of a market that currently works for neither.
You pay once and we read the whole script. The score, the reasoning and the five fixes are yours whether the news is good or bad.
$24.99 an evaluation. The first 100 screenplays of the beta are free, so there is nothing to pay today. Score 85 or higher and you're invited to the marketplace when it opens.
We don't just hand your script to a chatbot. Anyone can paste a screenplay into an AI and publish whatever comes back. That's one opinion, from one model, with nothing to tell you how much to trust it. Here is what happens instead.
A first pass reads the whole script to work out what it actually is — the category, the sub-category, who it's for, and what it's attempting. Nothing is scored yet. This step exists because being measured against the wrong yardstick is the fastest way to get feedback that's no use to you.
We assemble a framework for your script based on its ambition, its genre, the produced titles it will be measured against, and where the bar sits in that category. A mystery is judged on whether the clues were fair. A thriller is judged on the opposite.
Several AI readers from different companies read the entire book against that framework, independently, without seeing each other's scores. They disagree — that's the point, and it's why we use rival models rather than one. A supervisor then takes the disagreement into a structured debate, weighs it against the framework, and settles it point by point.
A score means nothing unless it's pegged to something real. So we run the system over public-domain books whose fate is already known, from classics to novels that sold well and vanished, and check our ranking against theirs. The first time we did, it told us our model was wrong. We rebuilt it.
Managers and producers scanning the marketplace know that everything in it has been pre-screened against a rigorous bar.
The bar is 85 out of 100 on quality, set where a script merits real money and real attachments. Clearing it is not the same as winning a contest, and it is meant to be harder.
Not clearing is useful too. You'll know where you stand, what's holding the script back, and what to fix first. That's more than a hundred blind queries will ever tell you.
The system gets sharper over time, and no model is ever trained on your script. What sharpens it is re-scoring scripts we've already scored, ours and yours, to catch the scoring drifting. That happens inside our own encrypted database. Your manuscript is never shown to a person, never used to teach an AI to write, and goes to nobody, no company and no agent, unless you say so.
And the numbers we publish about how well this works are on our methodology page.
A fair, fast way to find out where you actually stand, and if you're ready, to be listed where buyers will look instead of cold-querying. No connections, no perfect logline, no waiting months to learn nothing. Your book is judged on the writing, by the same standard as everyone else's.
A marketplace of pre-screened work, every script read in full and scored — not skimmed. Browse by genre, ranked by quality, with commercial and adaptation potential shown on every listing. Each one comes with full coverage and scoring, so you can spend your reading time on books that already cleared a professional bar.
Not with agents, not with publishers, not with anyone — unless you approve it, one party at a time. Submitting transfers no rights. You keep everything you walked in with.
No model learns your voice, your scenes, or your story. Your script is only ever sent to providers barred from keeping it or training on it — a restriction we set on every single request, not a setting we trust to a default.
Your script stays in encrypted storage so our scoring keeps getting sharper: checking judgments stay consistent, testing new versions against scripts we've already read. Access is restricted to that purpose and logged.
One click, permanently gone from our systems. Your score stays yours — it's built from numbers, not from your words.
It was the founder's husband's. 79. Six points short.
Thirty-five years of screenwriting, and the panel came back: promising, not ready. He read the notes and agreed with them. We ran it twelve times to be sure the number was real — it landed between 73 and 82 every time, and the notes never changed their mind about what was wrong. That script is the sample above. We publish it rather than a script that cleared, because a sample that passes tells you nothing about whether the bar is real.
We're calibrating. You get the full evaluation at no cost.
.pdf, .fdx or .txt · 70–160 pages · 24-hour turnaround
Your script is encrypted at rest and never used to train an AI to write. Nothing is shown to a buyer unless you choose it.
We're in beta and genuinely want to hear it — a broken page, a score that seems off, a report that didn't make sense. A person reads every one of these.