Leadership1 publisher3 min readPublished
The memo bars AI from the body of project proposals and asks staff to label AI drafts, on the reasoning that ten minutes a writer saves on polish can cost a hundred spread across the people reading it.
The Board Room · Leadership desk
Follow any of these and your For You feed starts watching them — no settings page required.
Compiled by The Board RoomSomething wrong?How this is made
The complaint underneath this memo is about who absorbs the work. Synthesia's leader put the mechanism in numbers, and the total is what makes it a management question rather than a matter of taste: 100 minutes of added reading set against the 10 minutes of sharpening that never happened, a tenfold transfer from one author to an audience [15]. Polish is what makes the transfer hard to see, because a reader cannot tell from the surface of a document whether its length is carrying an argument or filling space, which is the state Stevenson describes when he says the writing arrives more finished than the thinking [2][18].
The two rules in the memo carry unequal weight. Labeling an internal document as AI-drafted is a self-report, and nothing in the policy checks it [8]. The clause holding that writing you send will be treated as your own, with its comparison to a lawyer accountable for filing hallucinated case law, is enforceable through the review that already exists [10]. It is also the one rule that does not depend on how good the models get.
Polish was doing a job, and the memo removes it. A long formatted document was a costly signal of effort, and it made junior work legible to senior readers who did not have context. A five-bullet norm strips the signal out and forces judgment onto the substance, which is what Stevenson says he wants when he asks for the scrappy version over five pages of fluff [3][7]. The people who pay are the ones whose ideas were previously carried by presentation, and the managers who now have to read generously enough to find an argument that has not been dressed up.
A 200-person company's internal writing memo could be read as one executive's preference wearing the costume of policy [4]. But other firms reached for the same lever independently: Synthesia's warning about "AI sloppification" and Clay's four principles, among them "writing is thinking" and "longer is not better" [12][13]. What none of them supply is measurement. There is no figure for how often AI-drafted proposals reach a desk, and none on whether the labels get applied once the novelty of the memo wears off.
Stevenson also dates his own claim. The memo argues that AI today works best in highly constrained work such as coding or contract review, and that models are not good at unconstrained longform writing "yet" [5]. That is a specific limit written down by the chief executive of a company whose product drafts and analyzes contracts [1], which is to say the constrained side of the line he is drawing. Customers evaluating that product can read the same sentence, and it tells them exactly where the vendor thinks its own category stops working.
Ranked by verification strength, evidence, and original report placement.
Stevenson said workers' proposals containing "AI nonsense" routinely make it to his desk, and that they can arrive looking far more polished than the thinking behind them.
Stevenson said: "I want the D+ version of your plan."
The memo says: "I would rather that you send a scrappy 5 bullet point proposal than 5 pages of polished fluff."
The policy states customer communications should always be hand-written, because the company wants its 5,000 customers to feel authentic human care with every interaction.
The memo says AI writing has become increasingly recognizable, and that the company does not think AI-generated writing conveys the care it wants customers to feel.
Scott Stevenson is the cofounder and CEO of Spellbook, a Toronto company that develops an AI tool for drafting and analyzing contracts.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Primary document, single desk
Business Insider reproduces the memo's operative paragraphs and all four policy bullets, so the wording readers judge is Stevenson's rather than a summary of it. Everything outside the document is thinner: that "AI nonsense" routinely reaches his desk rests on his own telling, no Spellbook employee is quoted, and the Synthesia and Clay comparisons arrive through the same outlet.
Three written policies, compliance untracked
Three companies have put AI-writing restraint in writing, and Spellbook's version is specific enough to audit against: label internal drafts, keep AI out of proposal bodies, hand-write customer mail across roughly 25 customers per employee. The other half is absent. Nobody reports how often staff comply, whether proposals actually got shorter, or what an unlabeled draft costs the sender.
A worked example doing measurement's job
The memo hedges where it should — models are not good at unconstrained longform "yet", and the tasks it endorses are named. The one number in the reporting carries more weight than it earned: Synthesia's ten readers losing ten minutes each is an illustration nobody timed, and it sits in the same register as findings. Beyond that, Business Insider stays inside what the document says.
The line runs around the product
Spellbook sells AI for contract review, one of exactly two tasks the memo lists as suited to today's models, so the boundary drawn happens to enclose what the company ships. An AI chief executive telling staff to write by hand also travels a long way for free, and the piece closes by soliciting reader comments and pointing back at the publisher's earlier Clay scoop. Sincerity and marketing are not exclusive here.
Confident on the text, unproven on the effect
Quote the rules with confidence: the document is on the page. Treat the underlying thesis — that AI polish taxes readers inside a company — as a hypothesis Stevenson is running on 200 people, since there is one outlet, one document, no internal dissent, and no measurement of length, reading time, or proposal quality before and after.
leadership
Wider management spans in tech turn coaching into an unfunded expectation1 publisher
leadership
Employers are converting AI writing etiquette into formal internal policy1 publisher
leadership
Token Leaderboards Are The New Pageview Board, And Your Next Budget Will Fund Them1 publisher
invest
The AI writing policy is a coordination cost showing up on the wrong line item1 publisher
Publishers with included, body-backed reporting in this cluster.
1 article · September 7, 2026