Latest news with #AIwriting
Yahoo
2 days ago
- Yahoo
I tested AI writing tools on iPhone vs Galaxy vs Pixel — here's the winner
When you buy through links on our articles, Future and its syndication partners may earn a commission. TG AI Phone Face-Off This article is part of our AI Phone Face-Off. If you're interested in our other comparisons, check out the links below. AI assistant Phone makers have been focusing on writing tools as part of their efforts in putting AI features on their devices. Turn to AI, the argument goes, and you can write sharper, more focused messages, emails and texts that always strike the exact tone you're looking for. But how many of these phones actually deliver on that promise? To find out, I took devices from Apple, Google and Samsung and set them to work adjusting different types of writing. I wanted to not only find out how well each phone's AI-powered writing features performed in a variety of scenarios, but if one phone maker in particular stood out from the crowd. Writing tools are a specific set of features in both Apple Intelligence and Galaxy AI, with both iPhones and Galaxy flagship devices featuring tools for proofreading, rephrasing and formatting text. The text-based AI features on Google Pixel devices are not signposted in the same way, but you can turn to the Gemini assistant to perform many of these tasks. I came up with five different scenarios for using AI writing features, and tried out each one on an iPhone 15 Pro, a Pixel 9 and a Galaxy S25 Plus, with each device running the latest available software for each model. (In the case of the Pixel, that's Android 16; the S25 Plus I'm using is still running Android 15.) Here's how they performed. I wrote out a 215-word note, summarizing the 70-year history of the Disneyland theme park, striking a stiff, formal tone that didn't really jibe with the notion of the Happiest Place on Earth. So I wanted to see if any of the writing tools on my trio of phones could lighten the tone a bit. Both Samsung and Apple include specific features in their writing tools for striking a casual tone. In the case of the Pixel, I pasted the text into Gemini and asked the assistant to make the tone more casual. Interestingly, the AI tools on all three phones changed the first sentence of my essay into a question. (An example from Galaxy AI: 'Disneyland opened in July 1995, so it's celebrating its 70th birthday, right?') I guess that's one way to be more engaging, but it struck me as odd that each AI tool used the same rhetorical trick. Both the Galaxy and Gemini AI tools went heavy on swapping out words for more casual-sounding synonyms. In some cases this was appreciated, like when Galaxy AI rewrote the phrase 'Much of Fantasyland' to read 'a lot of Fantasyland.' Other times they went overboard, particularly the Pixel, which threw in a lot of slang like 'glow-ups' for renovations and 'still chilling' for 'remain in place.' Like the tools on the Samsung and Google phones, Apple Intelligence also stripped out the 50-cent words for simpler alternatives — replacing 'subsequent' with 'over the years,' for example. It also seemed to retain more of my original text, which made the changes it did impose feel more effective. For this comparison, I used the Friendly button in Apple's Writing Tools panel, but I also gave the original text a pass using Apple's Describe Your Change feature, in which you type in directions for the tone you want. This was the only instance where the first sentence wasn't turned into a question, and Describe Your Change also retained a couple of asides that the Friendly option had excised. I did notice more compound sentences resulting from Describe Your Change. Winner: Apple — Apple Intelligence's less-is-more approach altered the tone while retaining something of my original writing style. Galaxy AI on the S25 Plus did a good job of stripping out some of the stiffer phrases, but went a little too far in some cases. The Pixel's attempt at more informal text just felt forced. In the next test, I went in the opposite direction, asking the different AI tools to help me strike a more professional tone in a letter that a manager might send their direct reports. In my experience, this is something AI generally excels at, as there are definite rules to clear, concise business communication. Indeed, all three phones passed this test with flying colors, producing cleaned-up emails I'd have no problem sending. As they did when loosening up my text, all three phones took the same approach to starting off my letter, turning the informal 'Guys' into a variation more business-appropriate 'Team.' There were other similarities when it came to word choice so that each retooled letter struck the same professional tone. But there were subtle differences in how each AI tool approached its respective rewrite. I appreciate the fact that Apple Intelligence broke out each point about the meeting time, dress code and lunch plans into separate paragraphs, each one covering a specific point. The PIxel's AI actually shortened the email, removing unnecessary sentences — a big improvement over the original. Another note about Google's effort: It inserted a '[DATE]' right after I listed the meeting time, something the other AI tools did not. I like that addition because it added further clarity as to when the meeting would take place. I also prefer that it put the onus on me to insert a date, as it's a reminder that you need to go over suggested changes from even the best AIs rather than just blindly send off whatever they churn out. Winner: Google — The Pixel's letter was more concise than the others, though all three produced solid efforts. I admit to being ambivalent about using AI as a way to improve my writing — I string words together for a living, man — but one thing I am absolutely fine handing over to a chatbot is formatting my notes. When I'm jotting things down in an interview or a demo, I'm just getting words onto the screen as quickly as possible, with little thought for niceties like line breaks, readability or headers. I don't think I'd turn over the task to Apple Intelligence again, as the List feature in the Writing Tools control panel simply took my list of iOS 26 features and added bullet points ahead of each line break — not a very helpful improvement. I had better luck trying again with the Key Point option, which at least grouped bulleted features underneath the different iOS apps. Still, it omitted FaceTime and Safari improvements, both of which were in my original notes. If I had to turn to Apple Intelligence for note organization, I'd probably use Table. It's not the most intuitive of choices, but it basically split the notes into a table with the apps in one column and their iOS 26 enhancements in the other. Gemini on the Pixel added introductory text under an iOS 26 header, summing up the changes accurately and quickly. Each bullet point under the app got a title like 'Intuitive Design' or 'Main Controls' followed by a description pulled from my notes. Galaxy AI on the Samsung phone gives you a choice between 'Headers and Bullets' or 'Meeting Notes.' I opted for the former, and thought the end result was big improvement over the original list of features I had assembled. I was particularly impressed with how Galaxy AI created new headers, turning something simple like 'Photos app' into a more detailed 'Redesign Photos App.' It also gave the overall note a title — 'iOS 26 Preview: A Glimpse Into the Future of Apple's Ecosystem' — though it added a superfluous bullet point. Winner: Samsung — Galaxy AI actually enhanced my notes in the process of cleaning them up, though the Gemini AI comes in a close second. Apple Intelligence's note organization tools are too hit-and-miss for my tastes. I've heard writing tools in AI dismissed as little more than a glorified spell-checker, and I'm not sure this particular test where I had each phone proofread a fake news article is going to do anything to dissuade people from believing that. I loaded up my fake article about Apple, Google and Samsung merging into one mega-company with lots of spelling errors, grammatical miscues and run-on sentences to see what the AI tools were smart enough to catch. If you're looking for the positives in the test, all three phones did a solid job catching the misspelled words and basic grammatical errors, though of the three, Apple Intelligence let a couple mistakes slip through. But none of the phones stepped in to break up a run-on sentence, nor did any catch a passage listing all three CEOs where Samsung's TM Roh's name appeared twice. (To be fair, Google's AI did catch a misspelling of Roh's name that slipped past Galaxy AI. Samsung's CEO may want to have a word with his large language models.) Winner: Google — Despite the missed run-on sentence and duplicate name, Google fared the best in this test, which used the AI-powered spellcheck feature in Google Keep. That said, Samsung's writing tools did a better job displaying corrections to make clear what it had changed. Apple Intelligence, which also failed to notice a stray quotation mark, trails its rival AI tools noticeably in this area. Because I'm pitting an AI feature in Gmail against one of the Apple Intelligence additions in the iPhone's Mail app, I only tested the feature on the Pixel 9. I think it's safe to assume that the results would be similar via Gmail on the Galaxy S25 Plus. It's also worth noting that at the time of testing, Gmail's smart reply feature that draws on context and tone is limited to Google Workspace at the moment, which I have access to. A reply to an email asking if I needed ground transportation to a convention and what entree I would prefer at the welcome dinner gave me three options in Gmail — one where I could confirm my attendance and that I needed a ride, another where I would still be attending but arrange my own transportation and a third option where I would not be attending. Unfortunately, Google's layout cuts off the responses after a few words, so I had to guess what the second reply would be. I tapped on that reply and then had the chance to further refine my message, adding whether I wanted to eat the chicken or the pupu platter. I appreciated that it's easy to toggle between replies and that you can edit the text Gemini AI produces before sending your reply. In Apple Mail, you have to tap reply for the smart replies to appear above the keyboard. Once I did that, I could either confirm attendance or say that I wasn't coming. After I tapped that I would be there, Mail gave me a second round of smart replies regarding the ground transportation question. But that's as many smart replies as Mail will give you — if I wanted to signify an entrée preference, I would have to type that in myself. Winner: Google — I much prefer the way Apple lays out its smart replies in Mail, as it's easier to see what you're selecting. But Gmail recognizes the full array of questions I needed to answer in this email, so I think it's a more thorough solution. Gemini AI came out on top in three of the five categories, and it came awfully close to beating out Galaxy AI for formatting notes. The only category where Google's chatbot came up short was in trying to make text sound more casual and conversational — probably the writing tool I would turn to the least. Galaxy AI isn't that far behind Google, particularly since it relies on Gmail's smart reply feature. Apple doesn't do badly on suggesting changes to the tone of what you write, particularly if you make use of the Describe Your Change tool. On note formatting and checking spelling, though, Apple Intelligence is a lot more erratic than its more established competitors. Should you buy the iPhone 16 or wait for the iPhone 17? Here's the advice I gave my own dad Apple just delivered a smackdown to the EU over iOS 26 rollout — they won't be getting new features iOS 26 has an awesome Wi-Fi upgrade for your iPhone
Geeky Gadgets
30-06-2025
- Geeky Gadgets
Unlock the Secret to Writing with AI: Transform Your Creative Process Today
Imagine sitting down to write, staring at a blank page, and feeling the familiar pressure of crafting the perfect sentence. Now, picture an assistant by your side—one that can brainstorm ideas, refine your drafts, and even summarize complex concepts in seconds. That's the promise of AI-powered writing tools. But here's the catch: while these tools are incredibly powerful, they're not magic. Without understanding their inner workings and how to guide them effectively, you risk frustration, wasted time, and subpar results. To truly unlock the potential of AI in your writing, you need to master a few foundational principles—ones that will transform how you collaborate with this technology and elevate your creative process. The Nerdy Novelist uncovers the essential building blocks of writing with AI, from understanding the role of Large Language Models (LLMs) to optimizing key settings like temperature and context windows. You'll learn how to choose the right tools for your tasks, tailor AI outputs to your needs, and avoid common pitfalls that can derail your workflow. Whether you're a seasoned writer or a curious beginner, these insights will empower you to harness AI as a true partner in your creative journey. After all, mastering the basics isn't just about efficiency—it's about unlocking new possibilities for innovation and expression. AI Writing Workflow Essentials How Large Language Models (LLMs) and Wrapper Tools Work At the core of AI writing are Large Language Models (LLMs), such as GPT, which are designed to process and generate human-like text. These models act as the computational 'engine' behind AI's ability to understand and produce language. However, most users do not interact directly with these models. Instead, they rely on wrapper tools—user-friendly applications like chatbots, writing assistants, or coding helpers—that simplify access to LLMs. Wrapper tools are specifically designed to make LLMs more accessible and task-specific. For example, they can assist with drafting articles, summarizing lengthy documents, or even generating code snippets. While LLMs provide the raw computational power, wrapper tools refine and direct that power, making it practical for everyday use. Understanding this relationship between LLMs and wrapper tools is crucial for using AI effectively in your writing workflow. Choosing Between Reasoning Models and Regular Models AI models are generally categorized into two types: reasoning models and regular models. Each serves a distinct purpose and is suited to different kinds of tasks. Reasoning Models: These models are designed to 'think' critically before generating responses. They are ideal for complex tasks such as brainstorming, editing, or solving intricate problems. By analyzing input more deeply, reasoning models produce nuanced and context-aware outputs, making them a valuable tool for tasks requiring depth and precision. These models are designed to 'think' critically before generating responses. They are ideal for complex tasks such as brainstorming, editing, or solving intricate problems. By analyzing input more deeply, reasoning models produce nuanced and context-aware outputs, making them a valuable tool for tasks requiring depth and precision. Regular Models: These models are optimized for straightforward tasks like drafting text or generating quick responses. While they lack the analytical depth of reasoning models, they are faster and more cost-effective for simpler needs, such as composing emails or creating basic outlines. Knowing when to use each type of model can save you both time and resources. For instance, if your task involves generating a quick draft or summary, a regular model may suffice. However, for more intricate projects requiring detailed analysis or creative input, a reasoning model is the better choice. Mastering AI Writing: Tips for Writers to Optimize Results Watch this video on YouTube. Explore further guides and articles from our vast library that you may find relevant to your interests in AI writing. Understanding Context Windows and Tokens A critical aspect of AI writing is understanding how context windows and tokens function. The context window refers to the amount of information the AI can process at one time, measured in tokens. Tokens are not equivalent to words; for example, the phrase 'artificial intelligence' might count as three tokens. Larger context windows allow you to input more extensive data, such as lengthy documents or detailed instructions. However, this can sometimes overwhelm the AI, leading to what is known as the 'needle in the haystack' problem, where the AI struggles to focus on the most relevant details. To mitigate this issue, consider summarizing your input before feeding it into the AI. This approach not only improves the accuracy of the output but also reduces costs associated with token usage, making your workflow more efficient. Fine-Tuning AI Parameters AI tools often provide adjustable parameters that allow you to control their behavior and tailor their outputs to your specific needs. Two key settings to understand are temperature and top P: Temperature: This parameter controls the AI's level of creativity. Higher values (e.g., 0.8) encourage the AI to generate more diverse and unpredictable responses, making it suitable for creative tasks. Lower values (e.g., 0.2) produce more focused and consistent outputs, which are ideal for technical or formal writing. This parameter controls the AI's level of creativity. Higher values (e.g., 0.8) encourage the AI to generate more diverse and unpredictable responses, making it suitable for creative tasks. Lower values (e.g., 0.2) produce more focused and consistent outputs, which are ideal for technical or formal writing. Top P: This setting limits the randomness of the AI's responses by narrowing the range of token selection. By refining the AI's output, top P ensures that the generated text aligns more closely with your expectations. Experimenting with these parameters can help you achieve the desired balance between creativity and precision. For example, if you're working on a technical document, you might prefer lower temperature settings for accuracy. Conversely, creative writing projects may benefit from higher temperature values to encourage originality and innovation. Mastering Prompting Techniques The way you communicate with AI plays a significant role in determining the quality of its responses. Effective prompting involves two main types: System Prompts: These are overarching instructions that guide the AI's behavior throughout a session. For example, you can use a system prompt to ensure the AI maintains a formal tone, adheres to specific guidelines, or focuses on a particular style of writing. These are overarching instructions that guide the AI's behavior throughout a session. For example, you can use a system prompt to ensure the AI maintains a formal tone, adheres to specific guidelines, or focuses on a particular style of writing. User Prompts: These are task-specific instructions or questions you provide during individual interactions. Examples include 'Summarize this article in 200 words' or 'Generate a list of pros and cons for this topic.' Additionally, refining the AI's responses can lead to improved outputs. By editing its initial response and providing feedback, you can guide the AI toward better alignment with your preferences and objectives. This iterative process ensures that the AI-generated content meets your standards and expectations. Practical Tips for Writers Using AI To make the most of AI in your writing workflow, consider implementing the following strategies: Experiment with different LLMs and wrapper tools to identify the ones that best suit your specific tasks and requirements. Use concise summaries instead of full texts to improve the AI's comprehension and reduce token usage, enhancing both efficiency and accuracy. Adjust parameters like temperature and context window size to strike the right balance between creativity and precision for your projects. Refine and edit AI-generated content to ensure it aligns with your standards and objectives, making it suitable for your intended audience. By incorporating these practices into your workflow, you can streamline your writing process and achieve higher-quality results when collaborating with AI. Enhancing Your Writing Workflow with AI Mastering AI writing begins with understanding its foundational technologies, such as LLMs and wrapper tools, and learning how to optimize settings like context windows and parameters. By applying effective prompting techniques and tailoring AI outputs to your specific needs, you can unlock its full potential as a writing assistant. These skills will empower you to integrate AI seamlessly into your creative and professional projects, enhancing both efficiency and quality while opening new possibilities for innovation in your writing endeavors. Media Credit: Nerdy Novelist Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Entrepreneur
23-06-2025
- Business
- Entrepreneur
LinkedIn CEO: Our AI Writing Tool Isn't Very Popular
LinkedIn's AI writing tool polishes posts for users, but the company's CEO says not many users are tapping into it. An AI tool on LinkedIn has failed to gain traction with the platform's over one billion members. LinkedIn CEO Ryan Roslansky, who has led the company for the past five years, told Bloomberg last week that LinkedIn has an AI writing tool that polishes posts written by members before they hit publish. The AI feature gives LinkedIn users the option to tap into AI-generated suggestions to improve their writing. The only problem? "It's not as popular as I thought it would be," Roslansky told Bloomberg. There's a clear reason why. Roslansky, who has overseen the company as it has grown from $7 billion in annual revenue in 2019 to nearly $17 billion in revenue in 2024, explained that LinkedIn members could face backlash for posting something AI-generated. Other members might call someone out if a post came across as AI-generated, and the label could tarnish the person's reputation on the platform and their "ability to create economic opportunity," Roslansky said. Related: Mortgage Lenders Are Checking Your LinkedIn to 'Get a Clearer Picture' of Potential Borrowers LinkedIn, unlike other social media platforms like X and TikTok, is a "your resume online" and "your professional reputation in general," which means that the bar is much higher for posts to come across as authentic, Roslansky said. "If you're getting called out on X or TikTok, that's one thing," Roslansky told Bloomberg. "But when you're getting called out on LinkedIn, it really impacts your ability to create economic opportunity for yourself." Even though AI writing tools may not be popular on LinkedIn, they do come in handy internally. Roslansky disclosed that he uses Microsoft Copilot's AI writing suggestions for emails he sends to his boss, Microsoft CEO Satya Nadella. LinkedIn CEO Ryan Roslansky. Photographer: Bryan van der Beek/Bloomberg via Getty Images AI skills are in high demand among the 15 million jobs featured on LinkedIn at any given time. Roslansky said that in the past year, there has been a sixfold increase in the number of jobs that require AI-related skills. At the same time, the number of members adding AI skills to their profiles has grown twentyfold. Companies are also turning to AI to help review applications. A Resume Genius survey from March of 1,000 hiring managers shows that nearly half are using AI to help screen resumes and job applications. Related: AI Is Dramatically Decreasing Entry-Level Hiring at Big Tech Companies, According to a New Analysis Meanwhile, employers are cracking down on AI use among candidates. A TopResume survey conducted in May of 600 U.S. hiring managers found that one in five automatically reject AI-written resumes, and over a third can spot an AI-created resume in under 20 seconds. Even Anthropic, a $61.5 billion AI startup that advertises its Claude chatbot as skilled in writing, asks candidates to write their materials themselves without the help of AI. Edward Kaye, a recruiter for PCI Pharma Services, wrote on LinkedIn last year that recruiters "can tell if a resume was created by AI." They look for clues like formatting, lack of personalization, and language use, he explained. "Don't get a false sense of security and leave it up to AI," Kaye wrote. "We're looking for authentic documents written by real people about their real-life experience."
TechCrunch
09-06-2025
- Business
- TechCrunch
Anthropic's AI-generated blog dies an early death
Claude's blog is no more. A week after TechCrunch profiled Anthropic's experiment to task the company's Claude AI models with writing blog posts, Anthropic wound down the blog and redirected the address to its homepage. Sometime over the weekend, the Claude Explains blog disappeared — along with its initial few posts. A source familiar tells TechCrunch the blog was a 'pilot' meant to help Anthropic's team combine customer requests for explainer-type 'tips and tricks' content with marketing goals. Claude Explains, which had a dedicated page on Anthropic's website and was edited for accuracy by humans, was populated by posts on technical topics related to various Claude use cases (e.g. 'Simplify complex codebases with Claude'). The blog, which was intended to be a showcase of sorts for Claude's writing abilities, wasn't clear about how much of Claude's raw writing was making its way into each post. An Anthropic spokesperson previously told TechCrunch that the blog was overseen by 'subject matter experts and editorial teams' who 'enhance[d]' Claude's drafts with 'insights, practical examples, and […] contextual knowledge.' The spokesperson also said Claude Explains would expand to topics ranging from creative writing to data analysis to business strategy. Apparently, those plans changed in pretty short order. '[Claude Explains is a] demonstration of how human expertise and AI capabilities can work together,' the spokesperson told TechCrunch earlier this month. '[The blog] is an early example of how teams can use AI to augment their work and provide greater value to their users. Rather than replacing human expertise, we're showing how AI can amplify what subject matter experts can accomplish.' Techcrunch event Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW Claude Explains didn't get the rosiest reception on social media, in part due to the lack of transparency about which copy was AI-generated. Some users pointed out it looked a lot like an attempt to automate content marketing, an ad tactic that relies on generating content on popular topics to serve as a funnel for potential customers. More than 24 websites were linking to Claude Explains posts before Anthropic wound down the pilot, according to search engine optimization tool Ahrefs. That's not bad for a blog that was only live for around a month. Anthropic might've also grown wary of implying Claude performs better at writing tasks than is actually the case. Even the best AI today is prone to confidently making things up, which has led to embarrassing gaffes on the part of publishers that have publicly embraced the tech. For example, Bloomberg has had to correct dozens of AI-generated summaries of its articles, and G/O Media's error-riddled AI-written features — published against editors' wishes — attracted widespread ridicule.
Geeky Gadgets
05-06-2025
- Business
- Geeky Gadgets
Discover the 3 Levels of AI Writing Mastery : Most Don't Pass Level 1
What separates a writer who merely dabbles in AI tools from one who fully harnesses their potential? The answer lies in understanding the three distinct levels of AI writing—a framework that reveals just how far technology can take your craft. While many writers stop at the first step, relying on chatbots for simple tasks, few venture into the more advanced realms of tailored tools or full-scale automation. Yet, these higher levels hold the key to unlocking unparalleled creativity and efficiency. Imagine a workflow where your ideas are not just supported but amplified, where repetitive tasks vanish, and where your writing evolves into something greater than you thought possible. The question is: are you ready to go beyond the basics? The Nerdy Novelist takes you through the three levels of AI writing and what they mean for your creative process. From the accessible simplicity of chatbots to the fantastic power of advanced automation, each level offers unique opportunities—and challenges. You'll discover how to identify where you currently stand and gain insights into what it takes to ascend to the next stage. Whether you're a curious beginner or an experienced writer seeking to push boundaries, this journey will challenge your assumptions about what AI can do. After all, the tools are only as powerful as the hands that wield them. Mastering AI Writing Levels Level 0: Non-AI Users Writers who have yet to adopt AI tools may find themselves at a disadvantage in an increasingly competitive and technology-driven environment. Relying solely on traditional methods can be time-consuming and less efficient compared to AI-assisted workflows. While this approach may still suffice for some, the rapid integration of AI into writing suggests that adapting to these tools will soon become essential. Non-AI users often face several challenges, including slower content creation, limited brainstorming options, and repetitive tasks that could otherwise be automated. These inefficiencies can hinder productivity and creativity, especially as the demand for high-quality, fast-paced content grows. By choosing to remain in this category, you risk falling behind as the writing industry evolves. Embracing AI tools is not just about staying relevant—it's about unlocking new opportunities to enhance your craft and streamline your processes. Level 1: Chatbots – The Starting Point Chatbots represent the entry-level tools for AI writing, offering a simple and accessible way to integrate AI into your workflow. Platforms like ChatGPT, Claude, and Gemini are widely available and user-friendly, making them ideal for beginners. These tools can assist with a variety of tasks, such as: Brainstorming ideas for articles, stories, or other projects for articles, stories, or other projects Answering questions to provide quick insights or context to provide quick insights or context Generating basic content to help overcome writer's block For example, if you're struggling with a plot point in a story, a chatbot can suggest creative directions or refine your storyline. Their simplicity and versatility make them an excellent starting point for writers new to AI. However, chatbots have limitations. They lack the depth and specialization required for more complex writing tasks, such as structuring long-form content or automating repetitive processes. While they are a valuable first step, they represent only the beginning of what AI can offer. The 3 Levels of AI Writing Watch this video on YouTube. Here are more detailed guides and articles that you may find helpful on AI writing. Level 2: Specialist Tools – Tailored for Writers Specialist AI writing tools take functionality to the next level by addressing specific writing needs. Platforms like NovelCrafter, Pseudorite, and Raptorite/Plot Drive are designed to assist with long-form writing, particularly in fiction, though some also cater to non-fiction. These tools offer advanced features that can significantly enhance your writing process, including: AI-generated story bibles to organize and track complex narratives to organize and track complex narratives Character development assistance to create multidimensional characters to create multidimensional characters Narrative structuring to outline and refine your story's flow To use these tools effectively, you'll need a basic understanding of prompting techniques and a willingness to learn their interfaces. For instance, NovelCrafter offers powerful customization options but may feel overwhelming for beginners. In contrast, Pseudorite provides a more user-friendly experience, though it may lack some advanced features. The trade-off between ease of use and functionality is a key consideration at this level. By investing time in learning these tools, you can unlock capabilities that streamline your writing process, from generating detailed outlines to refining dialogue and pacing. These tools are particularly valuable for writers looking to produce polished, professional-grade content with greater efficiency. Level 3: Automations and AI Agents – The Cutting Edge At the highest level, AI writing involves advanced workflows powered by automation systems and AI agents. Tools like and N8N enable you to create customized workflows that integrate multiple AI functionalities. These systems can automate a wide range of tasks, including: Creating story bibles with detailed world-building elements with detailed world-building elements Generating marketing materials tailored to specific audiences tailored to specific audiences Producing research-based scripts for presentations or content creation For example, you could design a workflow that gathers research data, drafts content, and edits it—all without manual intervention. This level of automation not only saves time but also allows you to focus on the creative aspects of writing. However, mastering this level requires a deep understanding of prompting techniques, large language models (LLMs), and workflow configurations. Experimentation and customization are essential to optimize these systems for your specific needs. While challenging, the benefits of advanced automation are immense. These tools offer unparalleled efficiency and productivity, allowing you to handle complex projects with ease. For writers willing to invest the time and effort, this level represents the cutting edge of AI-assisted creativity. Key Insights and Takeaways Navigating the three levels of AI writing is not always a linear process. Depending on your goals and experience, you may find value in mixing and matching tools from different levels. The key to success lies in how you use these tools, not just the tools themselves. Experimentation and customization are crucial for finding the best fit for your workflow. Here are some practical takeaways: Start with chatbots if you're new to AI writing—they're easy to use and require no technical expertise. if you're new to AI writing—they're easy to use and require no technical expertise. Explore specialist tools for more advanced features tailored to your writing goals. for more advanced features tailored to your writing goals. Invest time in learning automation systems to maximize efficiency and productivity. Looking Ahead As AI technology continues to evolve, new tools and features will emerge, offering even greater opportunities for writers. Future developments may include more intuitive interfaces, enhanced customization options, and deeper integration with existing writing platforms. Tutorials and guides on advanced automation techniques, such as using will also become increasingly valuable. By understanding and embracing the three levels of AI writing, you can position yourself to take full advantage of these innovations. Whether you're a beginner exploring chatbots or an experienced writer automating complex workflows, AI has the potential to transform how you create and share your stories. Media Credit: The Nerdy Novelist Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
