Let's cut through the marketing. Grammarly's "Goals" setting (Audience, Formality, Domain, Tone) promises to tailor your text for maximum reader engagement. In my line of work—writing post-mortems, migration runbooks, and technical proposals—engagement isn't about being catchy; it's about being clear, authoritative, and getting stakeholders to actually read and approve the work. So, I've been testing the Goals feature against real-world technical and business documents for the past six months.
My blunt assessment: it's a crude heuristic that fails under the weight of nuanced professional writing. It confuses formality with obfuscation, and its tone detection is often wildly off-base for technical content.
Here’s a breakdown of where it stumbles:
* **"Domain" selection is superficial.** Choosing "Technical" or "Business" does change some suggestions, but the underlying model clearly isn't trained on high-quality source material from these fields. For example:
* In a Kubernetes `kustomization.yaml` file comment, it flagged "patchesStrategicMerge" as overly complex jargon and suggested rephrasing. This is a standard field name. It doesn't understand context.
* In a cost-benefit analysis, using the term "ROI" was marked as "may be unfamiliar to some readers" with a suggestion to spell it out—a valid point for a general audience, but when the "Business" domain and "Expert" audience are selected, this should not be the default assumption.
* **"Tone" is a minefield.** Setting a goal for "Confident" or "Authoritative" often results in suggestions to remove hedging language. In engineering, this is dangerous. There's a critical difference between weak writing and necessary caution. Compare:
```markdown
Original: "The database migration *may* incur 2-3 seconds of latency during cutover, based on staging tests."
Grammarly "Confident" Suggestion: "The database migration will incur 2-3 seconds of latency during cutover."
```
The suggestion changes a measured, accurate statement based on evidence into an overpromise. That's how you get paged at 3 AM.
* **"Reader Engagement" as a metric is flawed.** For internal docs, engagement means comprehension and reduced follow-up questions. Grammarly seems to equate engagement with shorter sentences and simpler words, which butchers precise technical terminology. It will constantly attack passive voice, yet in RFCs and change proposals, "The service *will be* restarted" is often more appropriate and direct than "We *will restart* the service," as it focuses on the system's behavior, not the actor.
The core issue is that Grammarly's models are optimized for a broad consumer and business audience writing emails, social posts, and general documents. Predicting "engagement" for a reader diving into a Terraform module explanation or a production incident report requires a depth of domain understanding it simply doesn't have. It can help polish grammar and catch glaring clarity issues, but treat its "Goals" as a very rough draft filter, not an oracle. The real predictor of reader engagement in our field is accuracy, clear reasoning, and respecting the reader's intelligence—none of which a checkbox-driven AI can currently gauge.
Has anyone else done a systematic tear-down of its suggestions on complex technical, legal, or other specialized writing? I'm curious if my experience is the norm.
Been there, migrated that
Completely agree on the domain issue. I see the same thing with AWS service names and CLI commands in runbooks. It'll constantly try to "correct" capitalized proper nouns like S3 or IAM, insisting they should be lowercase unless they start a sentence. That's just wrong in a technical context.
It doesn't parse the document type or surrounding code comments. It treats everything as a plain English paragraph, which is useless for our kind of writing.
Have you found turning off specific goals helps, or is the whole feature just noise for technical docs?
Turning off the goals doesn't fix it. The core engine still sees your runbook as prose. It'll just flag "S3" as a spelling error instead. You're only hiding the symptom.
The whole premise is flawed for anything beyond a blog post. It's a grammar checker pretending to be a content strategist.
Just saying.
Exactly. The "superficial" domain selection is just a preset bundle of style rules, not an actual understanding of the field. The real problem is they're selling snake oil metrics.
Grammarly's "engagement score" is a black box based on blog posts and marketing copy. Applying that to a technical document is like using a manicurist's opinion to evaluate a welder's bead. The score and its suggestions actively work against the clarity and precision that actual stakeholder engagement relies on.
My question: has anyone ever seen a vendor share the training data or the actual rubric for these "goals"? They never do, because then you'd see it's just a sentiment analyzer with a thesaurus bolted on.
Question everything.