Why We Still Read Blind and Look for the Voice

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Everyone in publishing is talking about AI this year. New tools promise to write a first draft overnight and polish a manuscript by morning. Some of the editing tools are genuinely useful. Most of it is useless noise.

At Studio Deiora we've stayed quiet about most of it, not because we don't have opinions, but because our answer hasn't changed. We read manuscripts blind to everything except whether the work moves us. That test doesn't get easier or harder because of what tools exist. It just keeps being the only question that matters.

Here's what we notice when something is written to sound good rather than to be true. It's smooth in a way that flattens everything. Every sentence lands exactly where you'd expect. Nothing surprises you, because nothing came from a place of actually needing to say it. Readers feel that difference even when they can't name it. They put the book down and can't tell you why, only that it didn't stay with them.

Voice is the opposite of that. It's a particular person's rhythm, their odd word choices, the thing they can't help noticing that nobody else would think to mention. It's the reason a memoir about growing up in one strange country reads nothing like a memoir about growing up in a different strange country, even when the plot points rhyme. It is why some authors reject the idea of Chekhov's gun. Not everything has to mean something, beyond being real. Sometimes a passing detail evokes an emotional response or a deep memory, and that’s all you need. You can't manufacture that from a prompt. You can only find it in someone who's lived the material and is willing to share it honestly.

That's not a stance against technology. Plenty of good tools exist to make a manuscript cleaner or a launch smoother, and we use some of them ourselves. It's a stance about what we're actually publishing for: work that's honest, sometimes uncomfortable, but always made with care. That's the filter we run every submission through, whether the year's big conversation is about algorithms or something else entirely.

It's the same instinct that drew us to Barking at Dogs, Leon Lazarus's memoir-in-stories about growing up on the ragged edges of late-apartheid South Africa. Early on, describing his arrival at university, he writes that it set him on a course toward “a very exciting life of mediocrity.” That's not a joke dressed up as insight. It's a specific person's ear for the gap between how a life is supposed to sound when you tell it and how it actually felt at the time, and it's exactly the kind of line nobody could have generated for him.

We'll take one honest, uneven, specific voice over a hundred polished, interchangeable ones. That was true before this became the industry's favourite debate, and it'll still be true once everyone's moved on to the next one.

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Real voices in an AI-flooded year