Reader Lab — AI Beta Readers for Your Draft

Every writer knows the quiet dread of the first reader — you hand over a draft and study a face for the verdict. Reader Lab moves that moment earlier, and makes it repeatable. Before a single person sees your manuscript, a panel of virtual readers reads it and tells you where they leaned in, and where they drifted away.

Choose the readers you wrote for

A literary-fiction reader and a young-adult reader will never love the same chapter. Frame ships eighteen reader personas — by age, genre, and reading appetite — so you can ask the audience you are actually writing for. Read with one persona up close, or convene a group and watch where they agree and where they split.

• Single reader · One persona, one close read — best for a specific doubt.
• Reader group · Several personas at once — see the spread of reactions.
• Scope · The whole manuscript, or a single chapter you are unsure about.

Read the curve, not just the score

Each reader returns a rating, but the number is the least useful part. The emotional curve — scene-by-scene tension — is where a draft confesses. A flat stretch in the middle is the chapter to cut; a spike the reader did not expect is the scene to protect.

• Emotional curve · Per-scene tension, where attention rises and falls
• Axis scores · Prose, immersion, character, pacing, and more — each with its reasons
• Would they recommend it · The honest one-line verdict

And what to ignore

A virtual reader is a mirror, not a judge. When every persona stumbles at the same paragraph, believe them. When a lone outlier dislikes a choice the rest loved, that is taste — keep your line. Reader Lab exists to find the scenes that lose readers, not to put your sentences to a vote.

The goal is not to please eighteen readers. It is to know, before you publish, exactly where you lost the one who mattered.

— Frame Editorial