The next, more transformative phase of AI isn’t about switching tools—it’s about orchestrating them. Agents should act like conductors, coordinating context and action across platforms so users can stay in flow and get value from each tool without needing to master every one.
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]]>Most of what we call AI today operates independently—individual chatbots or copilots that support a specific task within a single tool. They activate when you prompt them, complete the task, and then wait for what’s next. Some live in familiar apps, but don’t connect across them. Others live in separate tabs entirely, requiring new workflows and constant context-switching.
Part of the challenge is structural. Most workplaces still operate within some form of walled garden—Microsoft, Google, or a collection of point solutions. These ecosystems are valuable, but they trap context within their boundaries. And while newer AI tools like ChatGPT offer advanced capabilities, they often introduce new silos of their own, asking teams to change how they work just to access the value.
This is where agentic AI comes in. The next, more transformative phase of AI isn’t about switching tools—it’s about orchestrating them. Agents should act like conductors, coordinating context and action across platforms so users can stay in flow and get value from each tool without needing to master every one.
At their simplest, AI agents are software-based tools that can reason, coordinate, and complete tasks with minimal oversight. They don’t just respond—they act, pursuing specific goals based on the context you give them. That allows you to shift from being the doer to the director, with agents helping to carry the work forward.
As organizations begin to explore agentic AI, most use cases today focus on a single agent executing a single task: rewriting content, drafting emails, or summarizing meetings. These agents typically run in isolation, limited to one tool, one interface, and one output.
The future isn’t one mega-agent that does everything. It’s a system of specialized agents that talk to one another, share context, and carry out workflows together. One agent might surface customer insights, another might summarize research, and a third might draft messaging—each building on the output of the last.
This isn’t about replacing existing tech, it’s about unlocking more value from it. For years, we’ve accepted certain limitations: tools that don’t talk to each other, users hopping between tabs and learning new tools, and workflows held together with manual glue. But agentic AI gives us the chance to expand what’s possible—not by starting over, but by connecting what’s already there.
We’ll also see a shift in how the apps we use at work are designed. Today, every app is an island with its own logic, UI, and unique friction points. In the agentic future, apps will be modular, interoperable, and agent-ready. That means exposing APIs, sharing context, and making it easy for agents to trigger actions or surface insights inside the app, or wherever work is happening.
Imagine a marketer preparing for a product launch in Coda—their preferred AI workspace. They open a Coda page titled “Launch Messaging Framework,” click into the embedded agent panel, and feed the agent their goal: “Help me generate campaign messaging in English and Spanish based on our goals, customer feedback, and current market positioning.”
All of this happens inside the same workspace—no tabs, no tool-hopping, no fragmented context—and is actioned from one single assignment, not a series of different prompts. The agents collaborate behind the scenes while the marketer stays focused on what matters: reviewing, refining, and launching with speed and confidence.
To prepare for this shift, leaders and teams need to move beyond thinking about one isolated task agent and start thinking about how their systems and AI agents work together. Here are a few starting points:
At Grammarly, we’re designing for this future now—building modular, layered, and context-aware agentic experiences that can collaborate across your team’s tools and surfaces. It’s not about a single agent doing everything. It’s about an orchestrated system where the right agents show up at the right time to move work forward.
– Ailian Gan, Director, Product Management at Grammarly
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]]>While systems of record are great at storing information, they rely on people to extract value from that information—manually searching, switching tools, interpreting data, and taking the next step. Learn how agentic AI is turning systems of record into systems of action.
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]]>Over the past two decades, enterprises have built tech stacks fueled by “systems of record.” CRMs. Project trackers. Knowledge bases. These platforms serve as the single source of truth for the business, enabling teams to capture knowledge, track progress, and preserve data at scale. They’ve been essential to creating consistency, accountability, and alignment across organizations.
But while systems of record are great at storing information, they rely on people to extract value from that information—manually searching, switching tools, interpreting data, and taking the next step. And that’s where cracks are starting to show.
In Grammarly’s annual report, The Productivity Shift, we found that 77% of professionals are overwhelmed by the sheer volume of information. And 83% say they lack the tools or resources to find and use information effectively. Productivity isn’t suffering because we lack data—it’s suffering because we lack the ability to turn that data into action.
That’s where agentic AI comes in—not as a replacement for systems of record but as the catalyst that transforms them. Agents are the missing layer that turns stored data into real value. They work across tools, pull context from systems, and proactively execute tasks, bridging the gap between insight and action.
With agents in place, systems of record become systems of action. The foundations remain, but now they’re activated—delivering value not just through access, but through intelligent execution.
Let’s back up a bit and define agentic AI. Think of agentic AI as your partner in getting work done. Unlike traditional chatbots that wait for commands, agents are proactive collaborators that work on your behalf. They understand what you’re working on, what data you need, and what steps are required to move things forward.
As I like to describe it, agents are your all-knowing partners in crime. They’re there when you need them, helping you get through your work faster, with better results. Whether preparing a cross-functional QBR deck using insights from your CRM, email threads, and analytics dashboards, or auto-generating multilingual messaging for global marketing teams, agents don’t just make suggestions—they act on your behalf to boost productivity and amplify your impact.
Not all agents are created equal, though—and that’s a good thing. Most of what we see today are task agents, designed to handle specific, repeatable actions like summarizing notes or rewriting content. As we progress, we’ll see the rise of multi-agent workflows—systems where multiple agents coordinate to complete more complex, cross-functional tasks. Eventually, some agents will reach a level of full autonomy, where they can plan, execute, and adapt workflows end-to-end with minimal need for intervention once you set the proper guardrails.
For enterprise teams, the true value of agentic AI lies in how it leverages the data locked across multiple systems of record and shifts to a system of action. So, how does this shift play out in real workflows? Let’s start with a system of record most of us know well: the Customer Relationship Management platform, or CRM.
Today, sales reps log calls, update pipeline stages, and pull reports in your CRM—often by jumping between interfaces and clicking through fields.
Tomorrow? The CRM will still exist, but reps won’t need to spend valuable time there. They won’t even need to open it. Instead, an AI agent will be integrated into the tools they already use, such as their email or within a Coda page. It will pull customer history from your CRM, context from emails, and sales data from your business intelligence tool. Then, it will generate a follow-up message, suggest the next action, update the opportunity stage, and log the activity—all automatically, in the background.
This is the shift from systems of record to systems of action. Systems of record capture and store information. Systems of action put it to work with intelligent agents that turn those records into action.
This isn’t speculative. We’re already seeing early agentic systems surface in sales, support, and operations. But today, most of these systems are still limited—they’re often contained within a single platform, and focused on single task-level execution. Over time, I expect more platforms to embrace this shift by repositioning themselves not as stand-alone interfaces, but as reliable sources of truth that agents can access to drive action. The real differentiation won’t be in how many dashboards you can log in to—it’ll be in how well your systems work together through intelligent agents that operate across them.
At Grammarly, we’ve long focused on delivering AI support that feels intuitive, contextual, and embedded directly into your workflow. In many ways, that’s the foundation of what agentic AI will feel like—systems that show up at the right moment, understand what you’re trying to do, and help move your work forward. Now we’re building on that foundation with agents that go further: drawing on enterprise context, taking action across tools, and proactively completing tasks, not just suggesting them.
The next generation of enterprise productivity will come from agents and apps that work for the person, not the other way around.
– Alex Gay, VP of Marketing at Grammarly
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]]>Effective revision isn’t just about reading your draft over and over again. Without a strategy, it’s easy to miss structural issues, lose sight of your main message, or burn out trying to look for every possible improvement. By using targeted revising methods, you can approach your draft purposefully—whether you’re tightening structure, clarifying ideas, or improving […]
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]]>Effective revision isn’t just about reading your draft over and over again. Without a strategy, it’s easy to miss structural issues, lose sight of your main message, or burn out trying to look for every possible improvement. By using targeted revising methods, you can approach your draft purposefully—whether you’re tightening structure, clarifying ideas, or improving the overall flow. These strategies help make the revision process both easier and more effective.
You don’t need to use all of the techniques we’ll discuss. Try one or combine a few to discover what works best for your writing style and goals.
Revision can quickly become overwhelming if you’re just rereading your draft without direction. It’s easy to get caught making minor tweaks while missing bigger issues—like paragraph structure, logical flow, conciseness, or uneven tone.
That’s where focused revising techniques can help. Trying even one of these approaches can shift how you see your draft, helping you spot what’s working, what’s not, and how to refine it more effectively.
Reverse outlining is a powerful way to evaluate the structure and logic of your draft after it’s written. To use it, go through your draft one paragraph at a time and write down the main idea of each paragraph—either in the margin or on a separate sheet.
This technique creates a simplified outline of your draft as it currently stands, allowing you to see how your ideas are organized and whether they build toward your main point logically and coherently. It also helps you spot paragraphs that are off topic, repetitive, or out of order.
To reverse outline:
Reverse outlining can help you identify gaps in logic, redundant content, or opportunities to strengthen transitions and overall flow.
Reading your work aloud—or using a text-to-speech tool—is one of the most effective ways to catch confusing phrasing, awkward sentence structure, and tone issues.
When you read silently, your brain often fills in missing words or smooths over clunky transitions without you noticing. But hearing your writing forces you to slow down and process each word as your reader would. If you stumble over a sentence, run out of breath, or pause unexpectedly, it’s often a sign that something needs to be clarified or simplified.
What to look for:
The highlighter method is a visual revision technique that uses color coding to help you analyze how well your draft is organized and whether each part serves its purpose.
By assigning different colors to elements like topic sentences, supporting evidence, and analysis, you can quickly scan your draft to see if your paragraphs are complete, balanced, and logically structured. This makes it easier to spot missing components, uneven emphasis, or sections that need more development.
To use it:
Then, step back and look for patterns:
This method helps you quickly identify gaps, redundancies, or structural imbalances and can be especially helpful in essays or reports where logical progression is especially important.
Sometimes, the best way to see your writing anew is to physically change its form. The cut-and-rearrange method is a hands-on revision technique that helps evaluate your writing’s organization by breaking your draft into parts and refashioning them into experimental structures. It shows how each piece functions individually and together. Rearranging may reveal that background info belongs earlier, an example fits better as a lead-in, or your conclusion should come sooner.
How to do it:
This technique makes it easier to rethink how your ideas are organized and whether they’re unfolding in the most logical sequence.
Once you’ve applied one or more of the techniques above, use this final checklist to ensure your draft is clear, well-structured, and ready for editing or proofreading:
Revising is the stage of the writing process where you refine your writing. This stage focuses on improving the content, structure, and clarity of your writing.
While the rough draft stage is all about getting your ideas down, no matter how messy, revising gives you the opportunity to strengthen your message, sharpen your tone, and organize your thoughts more effectively. It is where your writing takes shape and your ideas become more focused and impactful.
Revising addresses the big picture—like reorganizing ideas, clarifying arguments, or adding evidence. Editing improves sentence flow and word choice, while proofreading focuses on grammar, spelling, and punctuation. Each step sharpens your work in different ways.
There’s no set number—revision is complete when your writing clearly communicates your message. Most writers benefit from at least two rounds: one for big-picture structure and one for sentence-level clarity. The revision checklist can help you know when you’re ready to stop.
Reverse outlining is a great starting point because it helps you understand your writing’s structure and identify major issues. From there, reading aloud can help you catch awkward or unclear sentences.
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]]>Revising your writing can seem overwhelming, but approaching it in clear, manageable steps makes the process more effective and less stressful. Revision comes before editing or proofreading. While those later stages focus on fixing grammar, punctuation, and typos, revision is where you tackle the big picture: your structure, clarity, and the flow of ideas. Think […]
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]]>Revising your writing can seem overwhelming, but approaching it in clear, manageable steps makes the process more effective and less stressful. Revision comes before editing or proofreading. While those later stages focus on fixing grammar, punctuation, and typos, revision is where you tackle the big picture: your structure, clarity, and the flow of ideas.
Think of revision as your opportunity to transform a rough draft into clear, compelling writing. It’s when you take a step back and ask: Is my message coming through clearly? Does every part support it? Will readers understand and stay engaged?
By tackling revision before you worry about surface-level changes, you can ensure your writing has a strong foundation. Once that’s in place, you can begin polishing your sentences and catching mechanical errors through editing and proofreading.
Here are four practical steps to help you revise with purpose and confidence.
Steps for revising your writing
Step 2: Review the big picture
Step 3: Check the flow of ideas
Example of how to revise a paragraph
Turning a rough draft into clear, compelling writing starts with a solid revision strategy. Here’s how to tackle your draft with purpose and revise more effectively, one step at a time.
When you finish a draft, your mind is still closely tied to what you just wrote. This makes it harder to see issues objectively. That’s why the first step to effective revision is taking a break. Even a short pause can give you enough distance to return with a clearer head and a fresh perspective. If you’re working on a short piece, 20 minutes might be enough. For longer or more complex pieces, taking a day or more away from your writing can provide the mental reset you need to see it with fresh eyes.
Use your break intentionally. Do something unrelated to writing—go for a walk, read, or switch to a completely different task. These active breaks help reset your perspective. When you return, aim to read your draft as your audience would. Pay attention to anything that feels unclear or off topic. Set a goal for your next read-through—maybe it’s evaluating your structure or clarity. And don’t ignore your first reactions; they’re often the most honest and useful.
Step 1 checklist:
Once you’re ready to dive back into your draft, start by zooming out to look at the big picture. The goal of this step is to clarify your main message and ensure your structure supports it. Ask yourself: What is the one idea I want readers to take away from this piece? Can I summarize it in one sentence? If not, your draft might lack focus.
To evaluate structure, try a technique called reverse outlining. Summarize the main idea of each paragraph in a few words. This helps you spot tangents, redundant ideas, or parts that don’t support your thesis. Trim or combine content as needed. If you’re revising something like a school assignment, take a moment to reread the prompt or rubric and make sure your draft fully meets those requirements.
Step 2 checklist:
After ensuring your draft has a strong message and structure, it’s time to focus on how smoothly your ideas progress. This step is about ensuring that each paragraph logically leads to the next. Start by checking the overall layout of your piece: Does it have a clear beginning, middle, and end? Then zoom in on each paragraph. Highlight topic sentences and read through them in order to see whether the logic of your argument or narrative builds naturally.
One of the best ways to evaluate flow is to read your draft aloud. You’ll catch awkward phrasing, unclear transitions, or jarring shifts in topic that might otherwise go unnoticed. To guide your reader more effectively, insert or fine-tune the placement of transition phrases such as “in addition,” “however,” or “as a result.” These signal relationships between ideas and help the reader maintain forward momentum.
Consider using a text-to-speech tool or an AI assistant to listen to your writing. Hearing your words from another voice can offer a fresh perspective and help you pinpoint areas that need smoothing out.
Step 3 checklist:
Once you’ve revised for structure and flow, it’s time to bring in outside perspectives. Peer feedback is valuable because it reveals spots in your draft you’ve missed—things that might seem clear to you but confuse your readers. Choose someone you trust, whether it’s a peer, mentor, writing center tutor, or even Grammarly.
Be specific in your request: Ask your reviewer to focus on things like clarity, tone, organization, or coherence. You can even provide a short checklist to guide their feedback. Keep in mind that not all feedback needs to be implemented. Look for patterns in what people notice. If multiple reviewers point to the same problem, it likely needs attention. Use the suggestions that align with your goals and trust your judgment.
Step 4 checklist:
Here’s a before-and-after example of how to revise a paragraph for clarity and focus, with a brief explanation of why the changes were made. First, let’s start with an example paragraph from a rough draft. The core idea is there, but it’s not quite ready yet.
Social media is bad in a lot of ways, and people spend too much time on it. It affects productivity and also makes people anxious. I read that scrolling a lot can impact sleep, too, which is bad for health. Everyone is using social media these days, even though it’s not always a good thing. There are also studies about how it can be addictive, especially for teenagers.
While social media connects people and provides entertainment, excessive use can have negative effects. Research shows it can lower productivity, increase anxiety, and interfere with sleep—particularly among teenagers. Despite growing awareness of these issues, many people continue to use social media in ways that may harm their well-being.
1 Refined the topic sentence
The original began with a vague generalization (“bad in a lot of ways”) and lacked balance. The revised version opens with a more nuanced statement that sets up the paragraph’s focus.
2 Improved clarity and specificity
Instead of “I read that scrolling a lot can impact sleep,” the revised version presents the idea more formally and clearly (“interfere with sleep”).
3 Removed redundancy and weak phrasing
Phrases like “it’s not always a good thing” were vague and repetitive. The revision avoids filler and strengthens the tone.
4 Enhanced flow between ideas
The ideas were restructured so that the paragraph builds logically: presenting the problem, summarizing research, and ending with a concluding thought.
5 Sharpened word choice and conciseness
Phrases such as “which is bad for health” were replaced with more precise alternatives that convey the same idea more effectively.
Notice that the changes focus on ensuring the paragraph better communicates its core message. Elements like tone and word choice play a major role in how your audience reacts to your writing.
Revising is the stage of the writing process where you improve your draft’s overall clarity, structure, and content. Unlike editing, which focuses on grammar and punctuation, revising looks at the bigger picture—ensuring your ideas are well-organized, clearly expressed, and effectively support your main message.
Revising focuses on the big picture of your writing. It’s the stage where you improve the overall structure, clarify your ideas, and ensure your content flows logically from start to finish. Revision often involves reordering paragraphs, rewriting sentences for clarity, or cutting content that doesn’t support your main message.
Editing comes after revising and deals with sentence-level improvements—refining word choice, tone, and style to make your writing smoother and more precise.
Proofreading is the final step. It involves checking for surface-level errors like typos, grammar mistakes, punctuation issues, and formatting inconsistencies.
In short:
Few writers produce a perfect first draft. Revising helps you identify what’s working and what isn’t—whether that’s an unclear argument, disorganized structure, or weak transitions. It lets you shape your ideas more clearly and ensure your message resonates with your audience.
Start by taking a break to reset your perspective. Then review the big picture for focus and organization, check the flow of ideas from paragraph to paragraph, and, finally, ask for feedback from a peer or tool. Use a checklist to guide your review and focus on both structural issues and sentence-level clarity.
Always start with structure. Revising individual sentences before confirming your content and organization is like decorating a house before building the walls. Focus first on your thesis, paragraph order, and clarity of ideas. Once those are solid, then fine-tune your wording and grammar.
You’re likely finished revising when your writing clearly communicates your intended message, flows logically from one point to the next, and reads smoothly aloud. A checklist can help ensure you’ve covered all major areas, and feedback from others can confirm that your writing makes sense to someone unfamiliar with your draft.
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]]>For the past decade, a zero-interest rate period encouraged industry-wide investment in SaaS spending. After 2022, when rates started to rise again, companies around the world examined their budgets and tech stacks more closely. Nearly 90% of companies now consider it a goal to cut vendor spend, but many companies also want to keep pace […]
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]]>For the past decade, a zero-interest rate period encouraged industry-wide investment in SaaS spending. After 2022, when rates started to rise again, companies around the world examined their budgets and tech stacks more closely.
Nearly 90% of companies now consider it a goal to cut vendor spend, but many companies also want to keep pace with generative AI. Budgets are constrained, but there’s a desire to invest in the future—if those investments can be proven wise. This is harder than you might think. Our research shows 88% of the workweek is spent communicating with others across multiple channels, but no one has yet shown how LLMs, which should disrupt the communication ecosystem, produce a direct impact.
There are surveys available that indicate the value of new tools, but few vendors have the ability to measure the effects of the tools they offer. At best, companies can measure how users use their tools once and if they adopt them. Grammarly, however, is uniquely positioned to prove the causal effects of AI.
Grammarly has the widespread presence (across applications) and the adoption (across different types of users) to provide a true baseline. We built a version of the product that can be deployed during business trials to create a credible counterfactual that is then used to compare the impact of Grammarly over the course of the trial period. We call this version “silent” because it has no features and provides no assistance. It gives us information about the baseline communications of a team (e.g., quantity and quality) in the absence of Grammarly’s features.
This goes beyond mere A/B testing because it means we can actually build randomized control trials that quantify the causal effects, allowing us to trace the effects of Grammarly to realized business outcomes without noise from other inputs.
As a result of this research, we built the capacity to perform randomized control trials that help our customers study the with-and-without effects of adopting Grammarly, allowing them to measure and predict returns before they invest. In this article, we’ll walk through what we discovered.
Our research proved that using Grammarly improves communication accuracy and compliance with teams’ writing guidelines or standards.
In one study, we monitored an experimental sample of more than 450 professional workers to see the effects of using Grammarly’s AI assistant, an intelligent tool to identify and improve areas of opportunity regarding communication correctness, clarity, tone, and guideline compliance. We found that users with access to Grammarly’s AI writing assistance saw a 20% (statistically significant) reduction in errors, which translates to an average of 30 to 70 fewer errors per user per day, depending on the tool in which they are writing.
A 20% reduction is significant, but we found that this was the floor, not the ceiling. Even when workers use Grammarly’s assistant in tools with native spell-checking features, we still found a significant impact, and in contexts like long-form business memos, we discovered that an error reduction of 80% or more is even possible. In email communication, Grammarly reduced errors by 36%; in support communication, Grammarly reduced errors by 28%; and in CRMs, Grammarly reduced errors by 40%.
Not all errors, however, are just spelling and grammar. We also studied how Grammarly can improve compliance, and we found that when admins set up Grammarly with writing style preferences, compliance with company guidelines rose by 30% to 65%.
Many different types of users use Grammarly, and those users can use Grammarly across a wide range of applications, some of which have native spell-check features and some don’t.
Given that baseline, we determined that giving workers access to Grammarly meant they spent 71% fewer minutes idling while composing emails (which we define as time not actively working on the email, i.e., writing, pasting, or editing text). Instead, they were able to stay focused, write more emails, and get more done.
These effects have the potential to be even more dramatic across tools without native spell-checking features, such as CRMs and developer tools. For teams writing on CRMs, for example, we showed that Grammarly caused an average 40% increase in output when we measured in words-per-minute terms.
A common method of assessing the value of SaaS tools is to survey employees about the amount of time they saved using them. This helps company leaders understand the benefits perceived by the employees, but usually begs a question from employers: “What are people doing with the time they save?”
With Grammarly, we know the time gets reinvested in the business. Teammates maintain the same total working hours irrespective of whether they have Grammarly. Teammates with Grammarly, however, can redistribute their time toward different tasks and work more efficiently. Over time and across teams, teammates worked more effectively thanks to Grammarly.
We found that using Grammarly translates into concrete business outcomes, showing that the improved communication and productivity described above lead to demonstrable business value.
We also like to rely on our own team members’ activities to experiment and learn about our product usage. In this section, we focused on an internal version of the experiment, which we ran to see how losing access to Grammarly would affect select teams.
Through this internal research, we found that our Customer Care team experienced a 20% drop in Customer Satisfaction (CSAT) scores when they lost access to Grammarly’s features. Newer team members experienced the worst impact, and longer-tenured members were dissatisfied with the changed experience and had to work harder to fill the gap.
Outside research also shows that higher CSAT scores are associated with higher retention rates. Research from Metrobi published earlier this year, for example, found, “Companies that maintain high CSAT scores report 35% higher customer retention rates and 28% more sales from repeat customers.”
An improvement in communication can therefore lead to a healthier business.
We have a lot of evidence that improved communication translates to improved business outcomes, and the overall success of this program shows that these experiments work and that business outcomes can be predicted and proven.
With this research, we’re able to show that Grammarly reduces errors across applications and users, as well as improving writing quality and compliance. We prove that Grammarly is more than a perk for select employees, but is, rather, a must-have tool for the business-wide communication ecosystem.
For example, one customer trialed Grammarly across 100 users for a planned deal of 600 seats, and shifted to a company-wide implementation after seeing the positive results of this research on their team.
This research already has strong traction inside the company. Our sales teams frequently conversed with prospective customers about ROI. It was easy for them to show customers that Grammarly is useful, but it was sometimes hard to show that it provides much more value than relying on spell-checking tools native to software like Google Docs and Gmail.
As with many SaaS tools, the Grammarly buyer tends to be separated from the end user, so the value the end users might feel can be hard to see for the buyer, who might not use the tool as much.
With this research, we can provide a mechanism for demonstrating value that goes beyond what many SaaS tools and even AI tools can offer. The costs of doing business are rising, and we can show that Grammarly is a worthy investment. Grammarly is a multiplier for the value companies get from other business tools that involve communication, and not only for those companies that communicate directly with external customers.
In the future, we plan to scale our capacity to perform this research work to learn more about how AI changes work and how Grammarly can provide and prove value for our customers.
If you’re interested in improving how the world communicates and finding innovative ways to measure the effects of AI on work and student productivity, come work with us. Check out our jobs page to learn more.
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]]>Writing a book can be exhilarating, but it can also be overwhelming. Whether you’re crafting a novel, a memoir, or a nonfiction book, starting with a clear outline can set you up for success. Think of it as a roadmap: It gives you direction, keeps you organized, and helps you maintain momentum through the writing […]
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]]>Writing a book can be exhilarating, but it can also be overwhelming. Whether you’re crafting a novel, a memoir, or a nonfiction book, starting with a clear outline can set you up for success. Think of it as a roadmap: It gives you direction, keeps you organized, and helps you maintain momentum through the writing process.
In this guide, we’ll walk you through everything you need to know about outlining a book. You’ll learn why outlines matter, explore different outlining styles and methods, and get a simple, step-by-step process to create your own outline.
Benefits of outlining your book
Tips for writing a strong book outline
Outlining is an important step in the writing process. For some writers, it might feel like unnecessary extra work, but it can actually make the writing process much smoother. A well-structured outline gives you a clear path forward so you can focus on your creative expression.
Every writer approaches their craft differently. Some are meticulous planners, mapping out every component of their story, characters, setting, and theme before writing. These writers are sometimes called plotters—writers who plot out their writing. At the other end of the spectrum are the pantsers—writers who don’t plan their writing, preferring to discover the story as they write it. They “fly by the seat of their pants.”
Very few writers are entirely plotters or pantsers. Most fall somewhere in between. As you develop your writing skills, you’ll figure out the balance that works for you. Maybe you prefer writing only a detailed synopsis of your book before writing. Alternately, you may find that a detailed outline of your characters, plot, and themes works best for you.
Effective outlines for your book can come in a variety of forms. The two most common outline types are linear and visual outlines. Experiment to figure out which works best for you.
There are a number of different outlining methods writers use for structuring their books. Each has strengths for different writing styles, genres, and story structures. Here are a few of the most popular.
Developed by author Randy Ingermanson, this method starts with a one-sentence summary of your book. From there, you expand that idea into a paragraph, then into detailed character descriptions, scenes, and storylines.
It’s great for writers crafting complex plots or character-driven narratives.
The three-act structure is one of the most common story structures. It divides your narrative into three distinct sections:
This method is a basic but effective strategy for building tension and making sure your narrative has a strong arc and satisfying conclusion.
Popularized by writer and scholar Joseph Campbell, the hero’s journey outlines a 12-step journey of transformation. Common in mythology, fantasy, and adventure stories, it follows a protagonist who overcomes trials and emerges changed.
The hero’s journey is ideal for quest-driven narratives or stories focused on a character’s growth.
The synopsis method involves writing a short summary of your entire book before you begin drafting. This summary typically includes major plot points, character arcs, key themes, and the ending, all condensed into one to three pages.
It’s best for writers who find linear outlining challenging but still want a plan for their book.
Before you begin your outline, decide on the outlining type and method or methods you’ll employ. You may want to experiment to determine which combination works best for you.
What are you trying to achieve with your book? For instance, you can inform, entertain, inspire, or persuade. Your purpose will help guide your voice, tone, and structure.
Who are you writing for? What do they already know? What do they expect to learn or experience from your book? Getting specific about your audience helps you make sure your writing speaks directly to them.
Summarize your book’s core idea in one or two sentences. For fiction, this might include your main character and their challenge. For nonfiction, it should outline the key argument or insight. Refer to this regularly to keep your outline aligned with this central idea.
For fiction, chart how your protagonist grows or changes. In nonfiction, think about how your topic unfolds and builds. This arc gives your book a compelling through line that keeps readers engaged.
Using your chosen method, lay out the big-picture framework of your book. Focus on major beats like plot points, key scenes, or conflicts. Don’t include the fine details just yet. As you add more specifics, this framework will give you something to build on.
Begin fleshing out each section with more context: scenes, character dynamics, emotions, examples, or facts. These elements will bring depth and continuity to your outline and help you visualize where your narrative is going.
Arrange your content into chapters or logical sections. Ensure a smooth flow and clear transitions from one section to the next. Aim for a structure that naturally builds toward a satisfying conclusion.
Use these tips to get even more out of your book outlining process.
Outlining is one of the most powerful tools a writer can use to bring clarity, direction, and structure to a book. Even if you consider yourself a pantser, a little preplanning can make the writing process smoother and more productive.
Take the time to explore different methods, mix and match techniques, and customize your approach to suit your unique writing style. Remember: Your outline isn’t set in stone—it’s a flexible roadmap that helps you move forward with confidence.
There’s no single best method. The snowflake method is great for detailed planners, while the three-act structure suits plot-driven writers. Try a few approaches to see what works best for you.
Not exactly. Nonfiction outlines focus more on organizing information, while fiction outlines emphasize narrative flow and character development.
It should last as long as necessary. It should give you enough structure to stay on track while still leaving room for creativity.
No. Think of your outline as a flexible guide. If your story or argument evolves, your outline can evolve with it.
Grammarly is user-friendly and great for beginners. Its AI can help you brainstorm, outline, draft, and revise your writing. It’s your writing partner through every stage of your writing process.
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]]>We’re excited to announce that Grammarly Authorship has been recognized with the 2025 EdTech Breakthrough Award! This prestigious award highlights Grammarly’s ongoing commitment to fostering responsible AI use in education and underscores our dedication to empowering students and educators alike. The challenge: Navigating AI’s impact on education AI has significantly disrupted education, fundamentally reshaping how […]
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]]>AI has significantly disrupted education, fundamentally reshaping how students approach assignments and how educators assess academic integrity. As generative AI tools continue to become more sophisticated and prevalent, both students and educators must adapt to a new reality—one where using AI effectively must be balanced with maintaining authentic learning experiences.
At Grammarly, we believe the path forward is through openness, collaboration, and critical dialogue. Authorship uniquely addresses this need by providing transparency into if and how AI has been used, helping educators and students work together to establish best practices that preserve authentic learning while responsibly integrating AI.
Grammarly Authorship was designed from the ground up to promote transparency in writing. Unlike traditional detection-focused tools, Authorship is student-first, enabling learners to proactively demonstrate their writing process and clearly indicate if—and how—they’ve interacted with AI tools. By providing insight into their workflow, students gain agency and educators receive a clearer, more nuanced understanding of student work.
Authorship offers:
“Grammarly Authorship gives students an easy way to show how they wrote their paper, including if and how they interacted with AI tools. While other AI detection tools leave students in the dark with no insight into the results or defense against false positives, Authorship provides deeper insights that foster two-way transparency in the writing process between educators and students. Grammarly makes it easy to improve your writing, track sources, and generate citations so your work stands out as credible, original, and impactful.”
“Authorship has tremendous potential for higher education as we try to navigate the challenges and opportunities of AI,” said Nathan Fayard, Assistant Professor of English at Indiana Wesleyan University. “Not only does Authorship help ensure students are actually doing their work, but it can also protect students from false-positives on AI detectors, giving them a way to document where the different parts of their work came from.”
To better understand Authorship’s impact, we’ve partnered with educational institutions to demonstrate its use cases and highlight its impact. These collaborations have provided meaningful insights into how Authorship enhances student learning, builds instructor confidence, and promotes innovation in academic writing assignments.
We invite educators, students, and administrators to explore Grammarly Authorship. Join us in shaping a future where AI in education supports transparency, encourages critical thinking, and strengthens trust.
Thank you to EdTech Breakthrough for recognizing Grammarly Authorship—we look forward to continuing our mission to foster meaningful, responsible AI use in education.
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]]>Starting a piece of writing can feel overwhelming, especially when you’re staring at a blank page. That’s where the rough draft comes in—it’s your chance to dive in, explore your ideas, and shape your thoughts into something tangible. A rough draft isn’t about perfection; it’s about progress. It gives you the freedom to experiment with […]
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]]>Starting a piece of writing can feel overwhelming, especially when you’re staring at a blank page. That’s where the rough draft comes in—it’s your chance to dive in, explore your ideas, and shape your thoughts into something tangible. A rough draft isn’t about perfection; it’s about progress. It gives you the freedom to experiment with structure, test your argument, and let your creativity lead the way.
In this guide, you’ll learn why a rough draft is important, the key components of a rough draft, and tips to make your rough draft writing process easier.
Why is a rough draft important?
How to write a rough draft in 5 steps
Step 1: Transition from your outline
Step 2: Write your introduction
Step 3: Develop body paragraphs
Step 4: Push through the roadblocks
Tips for writing an effective rough draft
How AI is changing the drafting process
A rough draft is a critical step in the writing process. It’s your chance to write freely without worrying about anyone else seeing it. You can experiment, make mistakes, and follow ideas wherever they lead. This freedom allows you to discover your message, organize your thoughts, and build momentum.
Here are the primary benefits of a rough draft:
Writing a rough draft can be intimidating, but it should be seen as a creative phase rather than a final product. Your goal is to get ideas on the page in a loose form without worrying about grammar or transitions. Focus on developing your content and building momentum. Here are five simple steps to help you.
Think of these steps as a toolkit rather than a checklist. Write in whichever order works best for you.
If you’ve already outlined your piece, you have a roadmap. Now, you just need to fill it in.
Start by choosing any section—introduction, body, or even conclusion—that feels easiest to tackle. You don’t have to write in order. Use your outline points to guide your paragraphs, but don’t feel locked in. If a new idea comes to mind, follow it. You can revise the outline later.
Example:
Outline point: “Main benefit of meditation = stress relief”
Draft: “One of the biggest benefits of meditation is its ability to reduce stress. Even just a few minutes a day can calm the nervous system and help you feel more [something].”
Many writers find the introduction the hardest part, so don’t stress if it takes a few tries. The goal is to introduce your topic, offer a little background, and clearly state your thesis or purpose.
Start with a hook—a compelling fact, question, or statement—that draws the reader in. Then, provide any context needed to understand your topic. Finally, present your thesis: the main argument or message of your piece.
If you find yourself stuck, you can leave the introduction for last. Writing an introduction after you have the rest of your draft is often much easier.
Example:
“Why do we always feel busier than we are? That’s the question I started asking after reading three different productivity books in one week. This piece explores how our obsession with being busy affects how we work—and how we live.”
The body of your draft is where you expand on your main points. Each paragraph should center on one idea, introduced by a topic sentence. From there, use evidence, examples, or explanations to support your point.
Here’s a simple structure to follow for each paragraph:
Example:
This is where many writers get stuck. Maybe you’re not sure how to connect your ideas, or everything you’ve written suddenly feels off. That’s completely normal.
The key is to keep moving forward. Don’t aim for perfect—just aim to finish. If you feel stuck, try these strategies:
When you’re ready to wrap up, revisit your thesis and summarize the key points you’ve made. A good conclusion reinforces your argument without simply repeating everything you’ve said.
You might also leave the reader with a final thought, call to action, or question that encourages further reflection. Whatever approach you take, aim to end on a strong, thoughtful note.
[tip] Focus on clearly tying your ideas together and leaving the reader with something to think about—you can refine the tone or wording during revision. [/tip]
Here are a few tips to help make your drafting process smoother:
Drafting used to mean wrestling with a blank page, slowly building ideas sentence by sentence. Today, AI writing tools can jump-start that process by generating full drafts, outlines, or even starter sentences based on your input. The benefit? You get past the blank page faster and can focus on shaping your message.
But it’s still your job to revise, refine, and make it your own—AI is a starting point, not the finish line. It might miss nuance, include generic phrasing, or reflect surface-level understanding of your topic. That’s why treating AI as a starting point, not a shortcut to a final draft, is essential. The best results come when you use AI to generate ideas and rough content, then revise it with your voice, insights, and purpose in mind.
That’s where Grammarly’s AI comes in—it’s built to support writers through every stage of the writing process, especially the messy middle of writing a rough draft. And because Grammarly works where you write, you can work on your draft without breaking focus or switching between tools.
Here’s how Grammarly supports your drafting process:
A rough draft isn’t the final version of your writing—it’s the beginning of it. By getting your ideas down without pressure, you create the foundation for stronger, clearer, more compelling work. With these five manageable steps and a willingness to write imperfectly, you’ll break through the hesitation and into the heart of the writing process.
A rough draft typically includes an introduction, body paragraphs, and a conclusion. The introduction sets up your topic and thesis, the body develops your ideas with support and examples, and the conclusion wraps everything up.
Not at all. In fact, it shouldn’t be. A rough draft is meant to be messy—it’s a space to explore ideas, test structure, and see what works. You’ll revise and improve it later, so focus on getting your thoughts down rather than making every word flawless.
It depends on the length and complexity of the piece, but many people can draft a short essay (500–800 words) in 1–2 hours. Longer pieces may take several sessions. Setting a timer or writing in short sprints can help you stay focused and make steady progress.
A rough draft should be about the same length as your final piece. If you’re aiming for a 1,000-word essay, your draft should be close to that—maybe slightly over, since you’ll likely cut or tighten during revision. It’s better to have too much content than not enough.
Yes, if you’re using outside sources, it’s a good idea to include at least rough citations. They don’t have to be perfectly formatted, but noting where your information comes from helps you avoid accidental plagiarism and makes the final citation process easier.
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]]>Get the roadmap to equip your workforce with the resources to achieve AI literacy—and prepare your business to enter the next stage of gen AI adoption.
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]]>AI is fundamentally changing the way we communicate at work. It’s not just a technological upgrade or another productivity tool; it presents a fundamental shift in how businesses and employees operate. The learning curve to achieve enterprise-wide AI adoption might seem steep, but it is achievable.
Every business is starting at a different place with AI. Those slower to adopt likely feel behind, especially if they are still avoiding the technology altogether. Early adopters might be ahead of the curve and the competition now; however, with an emerging technology like AI, the curve continues to move. We are all at the beginning of a long-term shift that takes proactive planning, incremental adjusting, and the occasional pivot to achieve true transformation and see real results.
No matter where you are in your journey, if you want to achieve enterprise-wide adoption, the best place to begin is with AI literacy. Read on to get the roadmap to equip your workforce with the resources to achieve AI literacy—and prepare your business to enter the next stage of AI adoption.
Business leaders looking to get ahead with the power of AI must take a strategic and comprehensive approach to achieving enterprise-wide adoption. Here’s a roadmap to help you steer your organization through the intricacies of adopting and integrating AI effectively.
The journey to full AI adoption begins with gaining buy-in, not just from the top executives at your company but also from employees who will be expected to use AI in their daily work. Start by demystifying AI, explaining the basics of AI usage, and showcasing the benefits for everyone involved. Here are a few actionable next steps to take:
Next, make AI education a top priority. AI literacy is a foundational skill for every employee to focus on. Here is how you can equip your workforce with the resources they need to use AI systems responsibly, effectively, and with the desired outcomes:
Every function within your organization likely has countless options for AI tools. Over the past year, we’ve seen hundreds of point-solution startups pop up across industries. It’s a complicated landscape that gets more crowded by the day. Here’s how you can break through the noise and choose the right tools for your business:
With great power comes great responsibility. As you adopt powerful AI tools, it’s critical to guide their use with clear policies. After all, if you don’t have control over the AI systems your employees are using, how can you protect your data, your people, and your brand from the most common risks? Start with these steps:
Finally, nurturing a culture that embraces innovation and continuous learning is vital for achieving sustainable AI success. Here’s how you can create a culture that supports your business transformation:
Embarking on the road to enterprise-wide AI adoption is no small feat—it requires a thoughtful and strategic approach. By securing buy-in, providing targeted training, establishing clear guidelines, investing in the right tools, and fostering a culture of innovation, you can position your organization not only to adapt tothe AI-driven future but to thrive.
The journey may be complex, but the potential rewards for your organization and its people are immense. Embrace the journey with openness and enthusiasm, and watch as AI transforms your business operations.
Want to learn more about AI literacy, the stages of AI adoption, and the roadblocks to improving communication across your enterprise? Download the ebook The New Language of Business: How an AI Literate Workforce Is the New Competitive Advantage.
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]]>In this blog, we’re covering the five phases of AI adoption—and uncovering the gaps that might be preventing you from reaching the next level.
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]]>Over the past year, artificial intelligence (AI) has been dominating headlines in business, technology, and academics (to name a few). Of course, it’s mainly generative artificial intelligence (gen AI) that people are talking about when they refer to the latest AI tools. But it’s important to break through the buzzy headlines to understand the massive opportunity that this transformative technology presents.
Business communication is one of the biggest areas for disruption. In the US alone, gen AI has the potential to save up to $1.6 trillion annually in productivity if all workers were using it for communication. However, every organization is in a different stage of generative AI adoption. Some companies are avoiding the new technology, resisting change from their traditional working methods. Many have a piecemeal approach to AI adoption, experimenting with different tools across a few select teams. And few, if any, have reached enterprise-wide adoption, using gen AI to its maximum potential to transform their business.
In this blog, we’re covering the five phases of generative AI adoption in business—and uncovering the gaps that might be preventing you from reaching the next level.
AI has quickly emerged as a key driver and accelerator in business transformation. Whether you’re using it to gain new insights, increase content production, automate tedious and manual work, or enhance overall communication quality, it’s likely that your business and employees have seen some of the benefits of this new technology.
However, as AI technologies evolve, it can be challenging to keep up and understand how to leverage these tools most effectively. This is where the AI-adoption framework comes in. Use this as a way to assess where your organization is currently, identify areas for improvement, and navigate the complex landscape of AI so you can transform your business.
Understanding where your business is in its AI adoption journey is key if you want to adapt and win in today’s competitive market. This framework should help you understand your current stage of adoption. But how do you know what’s holding you back from reaching the next stage?
Having an understanding of where your business currently sits is a solid first step toward business transformation. But it’s what you do with that knowledge that really matters. Enter AI-adoption gaps. These are the key blockers that companies must overcome to reach enterprise-wide AI adoption.
Stage: Becoming aware
Stage: Experimenting
Stage: Optimizing
Stage: Standardizing
As AI continues to demonstrate its transformational capabilities on business communication for organizations across all industries, it’s critical for you to take this moment to assess where your business stands. Once you know what stage you’re in, you can prioritize building a strategy for AI adoption. In the next chapter, we’ll lay out a roadmap to get started or improve your AI capabilities to scale effective communication, drive business results, and stay ahead of the competition.
Ready to find out what stage your business is in? Take this assessment to get started.
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