BETA — free for the first 100 manuscripts

Querying is broken.
We fixed it.

Today an agent skims five pages and decides your book's future in ninety seconds. Four months later, you might get a form letter.

We read the whole manuscript and send you a report you can act on, within 24 hours.

  • Every submission gets the full report. A quality score out of 100, the reasoning behind it, and the five changes that would move it most.
  • Score 85 or higher and you're invited to our agent-facing marketplace, opening soon.
Submit your manuscript → 100% free for the first 100 submissions · normally $24.99 · no card required

We take privacy and security seriously.

Readiculous Report · Sample
Along Came Adam
72,590 words · Upmarket / book club fiction
0out of 100 on quality
Promising — not over the bar yet
Quality79The gate
CommercialHighFor agents
IP valueAverageFor agents
Read the full report The real thing — every note, unedited
What you get

A score, the reasoning,
and what to fix first.

1

An objective quality score

One number, out of 100, judged against the standards of your genre. Commercial and IP potential are assessed separately.

2

A report on where you stand

Three scores: quality, commercial viability, and potential IP value. Plus the published books you were measured against, what's working, what's holding it back, and the strongest case for and against your manuscript.

3

What to fix, in order

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 →

What the three scores actually measure

Quality
How well the book is written, judged against published work in your category. This is the only score that decides whether you reach agents.
Commercial
How readily the book fits a market that exists right now — a clear shelf, a describable readership, comparable titles that have sold.
IP value
How much is here beyond this one book: sequels and spin-offs, film and television rights, games, merchandise, licensing. This is not the same as commercial success. Think Project Hail Mary versus Harry Potter — both enormous sellers, but one is a superb self-contained story that adapts once, and the other built a world with rules, institutions and a cast that carried decades of sequels, films, and merchandise. A brilliant standalone can score modestly here, and that isn't a criticism of the book. It's information an agent uses when they think about rights.

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.

All three, for every manuscript.Free during beta Submit your manuscript →

Books that earn a quality score of 85 or higher are invited to our agent-facing marketplace.

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.

Submit your manuscript → No card required during beta
The deal

Know where you stand.

You pay once and we read the whole manuscript. The score, the reasoning and the five fixes are yours whether the news is good or bad.

$24.99 an evaluation. The first 100 manuscripts 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.

Right now, during beta, there's no fee either way.Free for the first 100 Submit free →
How it actually works

Robust technology,
tuned by genre.We built it to debate, then reach a consensus that is fair, consistent and accurate.

We don't just hand your book to a chatbot. Anyone can paste a manuscript 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.

1

We read it before we judge it

A first pass reads the whole book 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.

2

We custom prepare the evaluation

We assemble a framework for your book based on its ambition, its genre, the published 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.

3

A panel reads. A supervisor decides.

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.

4

Then we check the scorer against history

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.

We publish how the judgment works and where it stops. The frameworks themselves stay ours.How it works Read the methodology →
The standard

Most manuscripts won't clear our bar.That's the entire point.

Agents 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 at a professional standard. If you clear it, agents and publishers know it's ready.

Not clearing is useful too. You'll know where you stand, what's holding the book back, and what to fix first. That's more than a hundred queries will ever tell you.

4+
AI models from different labs read and debate. LLMs are probabilistic, meaning they don't always produce the same output. Models often disagree with each other and themselves. We built a layer that corrects for this. Our testing showed that scores came back identical across most runs, and varied by a maximum of three points.
24h
From upload to full report. The industry standard is measured in months.
100%
Of the manuscript read — not a sample, not the opening pages.

The system gets sharper over time, and no model is ever trained on your book. What sharpens it is re-scoring books 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.

Two sides

Writers get effective feedback fast.Agents get a shorter pile.

For authors

A fair, fast way to find out where you actually stand, and if you're ready, to be listed where agents will look instead of knocking on doors. No connections, no perfect query letter, no waiting four months to learn nothing. Your book is judged on the writing, by the same standard as everyone else's.

For agents

A marketplace of pre-screened work, every book 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.

Apply for agent access →

Be ready the day agents arrive.Free for the first 100 Submit your manuscript →
We take security and privacy seriously

We'll tell you exactly
what we do with it.

We never share it

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.

We never train AI to write from your book

No model learns your voice, your sentences, or your story. Your book 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.

We do keep it — and here's why

Your manuscript stays in encrypted storage so our scoring keeps getting sharper: checking judgments stay consistent, testing new versions against books we've already read. Access is restricted to that purpose and logged.

Delete it whenever you want

One click, permanently gone from our systems. Your score stays yours — it's built from numbers, not from your words.

The first book we ever scored
He got a 79. Six points short. He agreed with every note.

The first manuscript our panel ever read belonged to the founder's husband. Two years of work, a novel he genuinely believed in — and the verdict came back: promising, not ready. The ideas are the best thing in it. But the middle drags, the plot leans on coincidence where it should turn on choices, and the ending arrives before it's been earned.

He read it and said: yes, all of that is true. He's on his sixth rewrite.

Then he did something we hadn't planned for. He sent us three drafts of the same book — an early one, and two written after he'd read a book about how a novel is supposed to be built. The early draft was rougher, and it scored higher on originality, on dialogue, and on voice. The draft he'd engineered scored better on structure, on pacing, and on its ending. He had sanded down the strangest parts to make the book more conventional, and the numbers showed him exactly what that had cost: he'd bought craft with the things that made the book his.

He'd been rewriting for two years and hadn't seen it — and there is no version of a rejection letter that would have told him. That's the part we didn't expect to be building. Not just whether a book is ready, but which of its faults are worth fixing and how much of its uniqueness is worth protecting.

Most submissions won't clear the bar. Ours didn't. That's what makes clearing it mean something.

Beta

Free for the first
100 manuscripts.

We're calibrating. You get the full evaluation at no cost.

$24.99 Free During beta · full evaluation, full report, no card required
  • Your complete manuscript read start to finish
  • Quality score, commercial and IP value bands, with the reasoning
  • Five prioritized fixes with chapter references
  • An invitation to the marketplace if you clear the bar, when it opens
Beta places claimed0 of 100

.docx, .pdf or .txt · 20,000–200,000 words · 24-hour turnaround

Your manuscript is encrypted at rest and never used to train an AI to write. Nothing is shown to an agent unless you choose it.