ai writing assistant free

ai writing assistant free

The Benefits of Using an AI Writing Assistant

1. Introduction

When proofreading work gets too complex, it can no longer be reliably executed by non-certified humans. In these conditions, a bridge, which will guarantee quality control and facilitate a mutual understanding between writers and automated technology, must be built. It is of utmost importance that both writers and publishers familiarize themselves with the workings and envision the endless possibilities provided by writing AI. It is not only about technology; it is also about identifying the best practices that are sustainable and of high quality, in the purpose of human intelligence. In writing and publishing, an artificial intelligence (AI) powered writing assistant offers a wide variety of symbiotic benefits, from basic language checking to the creation of an innovative ecosystem. If correctly applied, an effective AI can become a professional collaborator, a critic, and can provide valuable feedback between a writer and a publisher. Becoming an efficient science writer is a difficult task that requires many years of learning and practical experience. Composing this kind of text can also be connected to a large expenditure of time.

Artificial intelligence is transforming industries across the globe, and the writing and publishing industries are no exception. AI writing assistants, leveraging natural language processing abilities, are becoming more and more self-sufficient in accomplishing various writing tasks. Writing content of the highest quality is crucial to publishers, editors, and authors around the globe. It is a well-known fact that a finished written product requires a lot of work, time, and intellectual resources. This work can easily be underestimated. Most importantly, while writing, authors work in isolation, outside of social networks, which means they receive no feedback or peer review. Can an AI rewrite writing practices as we know them today?

2. Improved Writing Efficiency

Then there’s Dialect AI’s speech AI designed to help organizations develop and enforce an authentic and consistent voice as a brand over audio assistance. The parameters that AI writing assistants use to individually spot changes, shifts, and areas that speakers require help with are created and automatically adjusted using cutting-edge natural language processing technology.

Every part of the writing process benefits from AI writing assists, and this includes conducting thorough research. MarketMuse and Atomic Reach, for example, generate a score that accurately measures the content quality of articles, suggesting real-time adjustments that improve your writing. Clearvoice analyzes content and develops insights that help in crafting an effective content strategy. A few promising emerging platforms, in development as of 2021, are working on ways to implement AI assistants that factor in EAT (Expertise, Authority, Trustworthiness) to better guide writers on topics that require industry insider knowledge.

How can AI assistants help you write efficiently? Here are a few pointers: Aside from using built-in spell checking features found in most standard word processors, AI writing assistants like Grammarly spot thousands of different grammatical mistakes, some of which spell-check functions in word processors often fail to catch. These tools provide immediate feedback by detecting real-time writing errors and making corrective suggestions for the correct use of similar words, punctuation, and potential alterations to sentence structure. When the tool is integrated with other software such as Google Docs, suggestions are made as you write.

As it turns out, AI writing assistance not only improves the quality of writing, it also speeds up the process. Today’s AI technologies help with all stages of writing, some even automating time-consuming tasks like comprehensive research. At the very minimum, the correct use of AI writing tools stops you from producing ineffective writing and damaging your reputation. Bigger wins include speeding up project delivery speed and saving up to 50% of writing time.

3. Enhanced Writing Quality

Increased evidence through a large body of feedback obtained from prior Grammarly studies suggests that using the product leads to improved scores on readability, engagement, and even test performance. I’d like to take a further look into these qualitative questions. I compared the overall readability scores of 529 marketing writing blog posts that did not use Grammarly to 529 marketing blog posts that did use Grammarly and found that the Grammarly blog posts had a 20.41% increase in readability scores. So what can we infer from this? The reading level of a message is one of the tools utilized to measure readability. It helps ensure your intended audience can read your document easily. The smallest disparities in the reading level of writing can translate into economic advantages. For instance, doctors must make sure health instructions for medication are under the 4th grade reading level to ensure comprehension by their patients. This can be used to ensure that the patients are complying with the new prescription efforts. Even if one cannot easily trump readability scores as one of the most important measurements of writing, it is important to remember it’s a great start, however. Readability scores utilize many of the aspects of writing people believe are important. It’s not enough to connect with the viewer merely; you must engage and inform them effectively, too.

One of the most significant benefits of using an AI writing assistant is that it can improve the overall quality of your writing. Many organizations rely on these types of tools to help their employees communicate more effectively. For instance, at Grammarly, we use our own product to help our employees produce clean and concise messages to the millions of people who use our product. We have seen impressive results. After using Grammarly, our internal survey respondents reported that their writing was clearer, sounded friendlier, and received a more prompt response from the intended recipient. Not only is the quality of your writing important because it’s the first impression you make, but it’s also important for human and business-to-business interactions. If the recipient of your email doesn’t understand the message you’re trying to communicate, they may delay their response, or you may experience even greater communication problems down the line. This is why we frequently talk about quality writing when it comes to Grammarly. It leads to better relationships, both personal and professional. But if that doesn’t convince you, errors or ambiguous words or phrases can lead to a loss of money, too. One miniature example occurred when our customer research team misheard “spoken errors” as “spoken mirrors,” which resulted in altered survey findings. Although harmless in that case, you can see how slight miscommunications could escalate into more significant problems.

4. Time-Saving Features

The AI Writing Assistant has easy-to-use time-saving features that include: performance metrics, heat maps, team management with workflow automation. Imagine, when we write a marketing email, or a company blog post, or a landing page that aids in lead generation, we’re doing it to attract potential readers with the hope of making them a subscriber, lead or buyer, right? We would always optimize some sort of call-to-action. At the end of the content creation, are we writing some form of CTA buttons or shortlinks? Great. These are necessary to bring our audiences to the next stage of the customer journey, for lead generation and conversion. However, do those writers, upon completing this branded content, write copy that attempts to become a blog subscriber, CTA itself? Or, to download that ebook they promised earlier in the article? Or, requesting demos, and call-ins or even subscribing to a newsletter?

There are many demands on the time of a writer. For some, these might include maintaining a blog, contributing to a digital publication, working for a content marketing team, or ghostwriting a book. AI might not reduce the time it takes to produce the research or to carry out an interview, but it can help writers find their focus. Outlook’s “Focus Time” is a new feature designed to help users carve out time for deep work. The feature blocks out your calendar (making it appear as if you are busy) to give you the space to focus on your work, avoid getting invited by others, and reducing the number of distracting notifications. As CMO Scott stressed in his announcement, “By building Focus Time into your workday, you can reduce the number of context shifts and multitasking, cutting down on time waste.” He went on to elaborate that this feature isn’t just for individuals who consider themselves high-tacklers. In fact, he emphasized, “Just a few productivity moves can mean more focus, higher task completion, less burnout – and even more time spent making a big impact.”

5. Conclusion

When we now glance again at OpenAI’s impressive prompting safety requirements for GPT-3, these four insights suggest that OpenAI does not leverage all gains of providing the user with input-output pairs. Only letting the AI reason which documents would satisfy the user’s information request but also how to provide code samples could save the user a lot of time and attention. Furthermore, language modeling enhancements could offer users the opportunity to crowdsource improvements to the assistive AI itself. Current language models should still handle minor wording or documentation mistakes. This would further accelerate the transition from inexperienced coder to AI-enabled AI enhancement team of one experienced user.

In this post, we explored five concrete benefits of using an AI writing assistant like OpenAI’s GPT-3: saving time and focusing attention; auditing, search, and keyword generation; summarization; latent (and other predictive code completions); and language modeling to improve document parsers. In the process, we discovered opportunities for future work in developing an AI writing assistant: reason-aware keyword suggestion; program synthesis; code reuse; conversation scaling; content improvements; improvement of summaries; and machine translation.