AI words to avoid (and what to write instead)

Updated June 10, 2026

Some words became AI tells so fast that editors now flinch at them. Here's the working list — words, phrases and constructions — plus the honest caveat about word-lists, and the fix that actually works.

The single words

The headliners, roughly in order of notoriety: delve, tapestry, crucial, comprehensive, multifaceted, leverage (as a verb), seamless, robust, pivotal, foster, harness, elevate, intricate, realm, testament, underscore, embark, navigate (metaphorically), landscape (metaphorically), journey (metaphorically). Academic studies of post-2022 text found some of these words' frequencies jumped severalfold — "delve" became the canonical example after researchers tracked its explosion in published abstracts.

None of these is wrong. Humans wrote "crucial" for centuries. The tell is density: three per paragraph reads generated.

The phrases

  • Openers: "In today's fast-paced world…", "In the ever-evolving landscape of…", "In the realm of…"
  • Hedges: "It's important to note that…", "It's worth mentioning…", "While X, it's essential to Y…"
  • Drumrolls: "Let's dive in", "Let's explore", "Without further ado"
  • The not-just construction: "It's not just about X — it's about Y" (once per document, maybe; models do it hourly)
  • Closers: "In conclusion…", "Ultimately…", "As we've seen…", anything starting "Overall,"

The constructions

Beyond vocabulary: the compulsive triad ("faster, smarter, and more efficient"), em-dash overuse as all-purpose glue, paragraphs that each end by summarizing themselves, and the both-sides survey that never lands on a claim. These are harder to ctrl-F and matter more — they're the structural layer detectors actually measure.

The caveat about word lists

Deleting "delve" doesn't make text human — word-swapping is exactly the paraphrasing fallacy. The list is a smoke alarm, not a fire extinguisher: if your draft is dense with these, the sentence architecture underneath is almost certainly model-shaped too. The working fix is the full pass — restructure the rhythm, keep facts verbatim, verify the score, and put one sentence of actual you in it. The words fix themselves on the way.

Frequently asked questions

If I remove all these words, will my text pass detectors?

Not by itself — detectors measure sentence structure and predictability more than vocabulary. Treat the list as a symptom checker; the cure is structural rewriting, verified.

Are these words banned forever?

No — use any of them where it's genuinely the right word. The tell is density and reflexive use, not existence.

Why did AI models converge on these specific words?

They're high-frequency, low-risk choices across training data — words that fit everywhere fit a next-likely-word generator perfectly. That ubiquity is also why they now signal machine.

Humanize it — then verify it

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