How to Use Grammarly AI Text Generator: A Practical Walkthrough

The Problem: AI Writing Help That Creates More Questions Than Answers

You want AI to write your emails, tighten your documents, and break through blank-page paralysis — without leaving the apps where you actually work. Grammarly promises exactly that: generative AI "directly where you write in all the apps you use—no need to switch tabs, no need to copy paste," per its official product page. But the moment you try to use it seriously, the questions pile up faster than the drafts.

Plan limits come first. The free tier allows just 100 AI prompts per month, while Pro bumps that to 2,000 prompts per member at $12/member/month billed annually, according to Grammarly's pricing information. Is 100 enough for daily email triage? Will 2,000 feel unlimited or run dry mid-quarter? The marketing doesn't say, and neither does any independent benchmark — the research landscape contains no neutral testing of generation quality at all.

Then there's the reliability problem, and it cuts both ways:

• A hands-on reviewer concluded the tools "simply aren't worth the price of a subscription" — while vendor materials claim a 17x ROI and $5,000 saved per employee per year, figures that are unaudited.
• Grammarly acknowledges its own AI detector is unreliable, yet detectors still carry real consequences.
• A Georgia student was placed on academic probation after her paper triggered a detector — despite claiming she only used free proofreading, which Grammarly says isn't even generative AI.

The academic and professional risks are just as murky. UIC's student guide insists "you need permission to prompt," and Notre Dame recently clarified that professors banning generative AI are also banning editing tools like Grammarly. Meanwhile, 60% of college students report receiving no guidance on responsible AI use at all, leaving them to guess where the line sits.

Even the tool's core behavior raises flags. One critical essay argues Grammarly's marketing frames uncertainty as "unnecessary words," nudging writers toward overconfident claims when "sometimes expressing uncertainty is exactly what is needed."

This is why a marketing-page skim won't cut it. You need a walkthrough grounded in what the tool actually does, what the plans actually allow, and where the documented risks sit. That's what this guide delivers — step by step, evidence first. And if you want to automate the surrounding workflow later, SkillzBench is building a free directory and MCP connector for testing agent skills that handle drafting pipelines and content QA, so the same "verify before you trust" principle applies beyond writing tools too.

How Grammarly's AI Text Generator Actually Works: The Four Core Modes

The fastest way to understand Grammarly's AI text generator is to stop thinking of it as a separate app. It lives inside the apps you already write in — Gmail, Slack, Google Docs, Microsoft Word — and appears the moment you click the Grammarly icon, as Grammarly's official demo puts it, "no need to switch tabs, no need to copy paste."

The generator, originally launched as GrammarlyGo in March 2023 on OpenAI's large language models, organizes around four documented modes:

• Compose from scratch — type a prompt describing what you need, then insert the generated result directly into your document.
• Rewrite highlighted text — select a passage, describe your desired change ("tone, style, length, you name it"), and receive a revised version.
• Brainstorm — generate ideas on demand to break writer's block before drafting.
• One-click suggested prompts — accept pre-built prompt buttons for common tasks like summarizing an email thread or drafting a reply in your style.

Beyond these four modes, the tool can identify gaps in your writing ("what your writing is missing") and revise paragraphs in a single click. On Grammarly's website interface, AI features other than the chatbot work paragraph-by-paragraph — you approve or discard each suggestion individually, which one hands-on reviewer notes differs from the classic three-tab sidebar.

Usage is metered by prompts, and the limits matter. The Free plan includes 100 prompts per month; Pro raises that to 2,000 prompts per member per month at $12/member/month billed annually; Enterprise offers unlimited generative AI prompts, per Grammarly's pricing page.

Be skeptical of the surrounding numbers, though. Grammarly claims organizations deploying it save an average of $5,000 per employee per year — a self-reported 17x ROI. Independent testing tells a different story: the same Carleton reviewer concluded, "I can't recommend upgrading to Grammarly Pro. In my experience with the platform, the tools on offer simply aren't worth the price of a subscription."

The practical takeaway: start with the free tier, test the four modes against your actual workload, and upgrade only if you hit the 100-prompt ceiling with tasks the generator genuinely handles well. If you want to automate the surrounding workflow — drafting pipelines, editing checks, content QA — agent skills can take over where the generator stops; SkillzBench (skillzbench.com) is building a free directory and MCP connector for discovering and testing exactly those skills, with a waitlist live ahead of launch.

Getting Better Output: Settings, Goals, and Review Habits That Matter

The difference between mediocre and genuinely useful Grammarly output usually comes down to settings most people never open. Hands-on testing consistently shows that a few minutes of configuration — and a more deliberate review habit — dramatically improves what the tool gives back.

Start with the goals tab, where you can customize domains, types, and formats so suggestions match your actual writing context. According to practitioner guidance from FLTMAG, this is one of the most important practical settings, because feedback that doesn't know whether you're writing an academic paper or a marketing email will push your text toward a generic middle ground.

Grammarly organizes its real-time feedback into four categories — Correctness, Clarity, Engagement, and Delivery — and each suggestion comes with an explanation. Read it before accepting. As educator Nihan Sanic puts it, Grammarly "can be an aid but not a tutor," and the explanation is where the learning happens. It also matters because the tool tracks accepted and ignored edits over time, refining future suggestions to match your preferred vocabulary and sentence length. Every blind acceptance trains the tool in the wrong direction.

That's why the single worst habit is "accept all." Reviewers who tested the platform extensively found that bulk-accepting suggestions strips stylistic nuance and author voice, and one critical essay argues the tool's framing can nudge writers toward overconfident claims when "sometimes expressing uncertainty is exactly what is needed." Your voice — including its deliberate hedges — is worth protecting.

A practical review routine:

• Set goals (domain, type, format) before drafting, not after.
• Read the explanation behind each suggestion before accepting or dismissing it.
• Accept Correctness fixes freely; scrutinize Engagement and Delivery changes, which most affect voice.
• Watch for overconfident rewrites that remove qualifiers you meant to include.

One more habit worth adopting: treat AI-assisted edits as decisions you own. A hands-on reviewer at Carleton College proposes a useful heuristic — ask whether it would be acceptable for another person to do the work you're about to delegate to AI. If you want to automate the surrounding editing and content-QA workflow rather than each decision, agent skills can handle that — SkillzBench is building a free directory and MCP connector for discovering and testing them, with a live waitlist during pre-launch.

Configure deliberately, review consciously, and the tool adapts to you — not the other way around.

Verification, Disclosure, and Staying Out of Trouble

A Georgia student was placed on academic probation after a paper triggered an AI detector — even though she claimed she only used free proofreading. That story, documented by Pangram, is the clearest warning in this guide: using Grammarly's AI generator without thinking about verification and disclosure can carry real consequences.

The first rule is simple: you are responsible for what the AI produces. The University of Illinois Chicago's student guide puts it bluntly — users bear responsibility for verifying the accuracy and origin of AI-generated text. If Grammarly drafts a claim, statistic, or citation for you, check it before it ships. Hallucinated details are your problem, not the tool's.

The second rule is disclosure, especially in academic settings. UIC's guidance repeats a memorable principle: you need permission to prompt. Permission comes from the syllabus, the instructor, or department policy — and it matters more than most students realize. Selecting a one-click option like "make this more persuasive" is, per UIC, doing the same thing as typing a prompt into a generative AI. Notre Dame went further, clarifying in August that professors who prohibit generative AI are also prohibiting editing tools like Grammarly.

Before you generate anything, run it through a quick gut check:

• Verify every factual claim, name, and citation the AI produced.
• Check whether your instructor, employer, or client permits AI assistance at all.
• Disclose AI use when required — an explicit AI disclosure statement is the safest path.
• Never rely on an AI detector to prove your innocence; they cut both ways.

That last point deserves emphasis. Detectors produce both false positives and false negatives — the hands-on Carleton College review found Grammarly's own detector "inconsistent," and Grammarly itself acknowledges its detector is unreliable. Meanwhile, 60% of college students reported receiving no guidance on responsible AI tool use, per a 2023 survey cited in FLTMAG. The gap between what tools can do and what institutions permit is exactly where students get hurt.

For a practical heuristic, borrow the one from Carleton's reviewer: ask yourself, "would it be acceptable for another person to do the work I'm about to have AI do?" If a human assistant drafting your essay would violate the rules, so will the AI.

The same verification discipline applies at work. If you're building automated drafting or content QA pipelines with AI agents, the same principle holds — verify outputs, and know what your tools are actually doing. SkillzBench is building a free directory of agent skills with security scanning and sandbox benchmarks, plus a free MCP connector, so you can see exactly what a skill does before you equip it. The waitlist is live now.

Next Step: Automating the Rest of Your Writing Workflow with Agent Skills

Grammarly's generator handles one step at a time — a prompt here, a rewrite there. But if you write professionally, the work around that single prompt (drafting pipelines, editing checks, final QA) is where most of the time actually goes, and that's where AI agent skills come in.

Agent skills are instruction packages (SKILL.md files) that work with tools like Claude Code, Cursor, Codex, Gemini CLI, and chat-app agents. Instead of clicking the Grammarly icon in Gmail or Google Docs for each task, an agent equipped with the right skills can chain steps together: draft, revise against a style guide, run editing checks, and flag issues before anything ships.

There's a catch worth knowing. Published research found that roughly 26% of agent skills carry at least one vulnerability — so grabbing random skills off GitHub and wiring them into your workflow is genuinely risky. Vetting matters, especially for skills that touch your content or credentials.

That's the problem SkillzBench is building against. It's a free, independent directory of agent skills plus a free MCP connector that lets you attach chosen skills to any agent. The platform is still in pre-launch (the waitlist is live), but the approach is worth understanding now:

• Discover: continuously crawling and deduplicating skills from GitHub so you're not sorting through duplicates and forks yourself.
• Verify: pinning every skill to a specific commit, checking licenses, and running security scans before you ever install it.
• Benchmark: testing each skill in a sandbox with the same model, with and without the skill, and publishing the performance lift in percentage points.
• Equip: a single free MCP server with per-agent loadouts, so each agent only sees the skills and tools you explicitly toggled on.

The same verification mindset applies to Grammarly itself. Independent reviewers have found its AI features uneven — one hands-on review from Carleton College rated the AI grader as performing "very poorly" and the AI detector as inconsistent, with both false positives and false negatives. Educators make the same point differently: as FLTMAG puts it, Grammarly "can be an aid but not a tutor," and blind "accept all" behavior erodes your own voice. Whether the tool is a browser extension or an agent skill, the human doing the final read is the quality gate.

The practical takeaway: treat single-purpose tools like Grammarly's generator as one instrument in a larger workflow. If you want the surrounding steps automated, agent skills can handle drafting pipelines, editing checks, and content QA — and when SkillzBench launches, you'll be able to browse, verify, and benchmark skills for free before trusting any of them with your writing workflow. Join the waitlist to get notified when the directory and MCP connector go live.