A Cohere humanizer for one specific register

Cohere is built and positioned for enterprise use, retrieval, summarisation, workplace writing, and that shows in a specific density of business vocabulary: nominalised phrases, leverage and utilize standing in for plainer verbs, solution used as a catch-all noun. This tool targets that register directly.

The rewrite happens server-side, since cutting jargon while preserving meaning takes a language model of its own. The allowance is 5 free runs per rolling 24-hour window, with no account required and no upgrade path attached.

These recur across Cohere output with unusual consistency, and they concern vocabulary density more than sentence structure.

Nominalisation

"The optimization of the workflow enabled a reduction in turnaround" in place of "optimizing the workflow cut turnaround", verbs converted to noun phrases throughout.

Leverage, utilize, streamline

A narrow set of business verbs substituting for use, employ and simplify, deployed almost reflexively.

"Robust" and "seamless"

Adjectives borrowed from product marketing, applied to things never claimed to be fragile or bumpy in the first place.

"Solution" for everything

A plan, a fix, an answer and a tool all relabelled as a solution, flattening several distinct ideas into one deck-ready word.

Stacked qualifiers

"A comprehensive, end-to-end, scalable approach" where one well-chosen adjective would communicate more.

The process is short by design: three steps, no configuration.

Step 1

Paste the Cohere-drafted text: an email, a paragraph, a full section of a document.

Step 2

Run it. The text is sent to our AI server, rewritten, and returned within a few seconds.

Step 3

Review the result against the source, then copy it. The interface shows how many of your 5 runs remain in the current window.

The rewrite operates directly on the patterns above: nominalised phrases become plain verbs, leverage and utilize become use, solution becomes the specific word the sentence needs, and stacked qualifiers thin to the one carrying real information.

It does not add, remove or reinterpret facts. Names, figures, quotations and the sequence of your points are preserved; only vocabulary density moves. Reviewing the output against the source before publishing remains the user's responsibility.

Cohere is positioned toward enterprise customers and workplace writing tasks, search, summarisation, retrieval, rather than toward general chat. A meaningful share of the material shaping that tuning is itself written in business register: reports, product copy, internal documentation.

The result is a model that reaches for leverage and streamline the way a chat-focused model reaches for delve, because that is the register its intended use case trained it to sound fluent in, whether or not a specific answer called for it.

No, and we state that plainly. We do not test this tool against AI-detection services, we do not tune its output against any detector's scoring, and we make no claim about what a detector will report after a rewrite. Detector methods are not public and are not something we can reliably predict.

The rewrite's honest, verifiable effect is lexical: less nominalisation, less business jargon, a plainer word doing the work a vague one was doing before. That improvement holds on its own merits. Treat any product, ours or a competitor's, that promises a guaranteed detector outcome as making a claim it cannot back.

Business writers and internal communications teams use it whenever a Cohere draft needs to read as one clear person talking rather than a slide full of buzzwords.

Agencies run client copy through it before three instances of leverage land in one paragraph. Students use it to bring an AI-assisted draft back toward their own voice, governed entirely by their institution's own policy on AI-assisted writing tools, a policy this product does not set and cannot interpret on anyone's behalf.