The implementation of an all-new RAG process within our CI/CD system, through usage of the OpenAI API, serves as an initial run-through for both the edits made in code as well as the documentation that would accompany that same code. The new AI scans code changes to ensure they comply with our internal style guidelines prior to being sent to the human reviewer for their final review. Subsequently, the AI then composes updated snippets for the API documentation to accompany the changes made in the pull request; effectively eliminating the tedious chore of manually verifying compliance with formatting standards. The integration of this automated workflow through triggering via GitHub Actions has decreased the turnaround time for peer reviews by 40% and has resulted in senior engineers spending their time on tasks related strictly to architectural logic and user experience versus syntax edits.
One way we've integrated AI is using it as a first-pass structural editor, not a final writer. We run drafts through an AI pass to tighten structure, flag redundancies, and suggest clearer headlines, then a human editor does the final voice and fact check. That cut initial edit time by about 40-50 percent while maintaining quality because humans still own judgment, tone, and accuracy Albert Richer, Founder, WhatAreTheBest.com
One way I've integrated AI into my editing process is by combining Descript's AI-driven transcription tools with content structuring and automated workflows. Building a Client Content Repurposer around this process has been a complete game changer for us. Using Descript for initial transcripts, along with an automated spreadsheet, the system processes recording transcripts, identifies strong lines, quotes, and highlights, and generates ready-to-use headlines, social captions, and content notes, complete with the client's headshot and brand colors. By automating parts of post-production, we're able to deliver more content without compromising quality. A final human review ensures tone, clarity, and messaging stay aligned with the client's brand, allowing us to move from raw recordings to organized, editable assets without manual handling while maintaining a consistently high standard.
I use text-based editing (via tools like Descript or Adobe Premiere) to edit video by simply deleting words in a transcript.
LINQ Kitchen uses AI-powered advanced design software to streamline product visualization and project planning for our custom cabinetry and luxury closet design business. The software uses artificial intelligence to produce accurate 3D renderings of our designs, enabling clients to see their space before any construction begins. Our ability to quickly generate many design options has dramatically reduced the time required to make revisions and iterative changes to our designs. While we would have had to wait for manual drawings or updates before receiving them from our design team, our AI-generated designs are available to our clients immediately after they are created. With this advantage, we can provide clients with real-time design options for review and input, enhancing our consultation process and client interactions. The software enables our design team to analyze design trends and client preferences, and to develop customized design options that meet our customers' specific needs. We have achieved an approximate 30% reduction in project completion times, enabling us to accept additional projects alongside ongoing projects while maintaining our commitment to delivering high-quality products and services to our clients. AI save us time and ensures that each of our custom designs meets the individual needs of our clients, thereby providing a smooth and successful client experience from inception to completion.
We started using Grammarly Business for our SaaS docs and all of a sudden our support guides are getting out on time. The editing suggestions catch those silly mistakes early, so our back-and-forth dropped way down. Team feedback is much faster now, and our non-native writers feel way more confident. This thing is probably saving us a full day each month on editing alone.
Editing was taking too long at ShipTheDeal, so I started using a simple AI grammar and tone checker as the first pass. It worked better than other methods we tried when we were on tight deadlines. Now our remote team gets through articles much faster, and both our writers and readers have noticed the quality is more consistent.
I use DeepL Write to check our writing in different languages. It's great for catching those odd tone or grammar problems that come up when you're writing for different groups. It keeps our style consistent across translations and makes editing drafts way faster. This saves us hours every week during campaign launches.
I write a lot of SEO content, so I use SurferSEO's editor pretty much daily. It helps me hit my keywords without making the text sound clunky, and it points out sections I've completely missed. The suggestions for restructuring alone saved us hours in reviews. Our search rankings definitely climbed after we started using it. It took a minute to figure out the workflow, but now our content is better and it's ranking much faster.
We'd tried a few AI tools to check our SEO content, but nothing really clicked until we started using SurferSEO's Content Editor. It spots wasted words and keyword stuffing as we're writing, so the team can clean up drafts on the spot. Our first round of edits now takes half the time, and our articles are ranking higher from the get-go.
I can now review campaign drafts in minutes instead of hours. We added Grammarly Business and Copy.ai to our editing process, and they catch fuzzy messaging and inconsistencies right away. This gives me more time back for actual strategy and creative brainstorming. AI editing isn't a cure-all, but for quick checks on fast campaigns, it's become our go-to tool.
We started using AI to scan content for inconsistencies before publishing, and it's been a game changer. At Lusha, this cut our editing time in half, especially for those fast influencer campaigns with tight deadlines. It catches the subtle tone shifts we used to miss. You still need a quick manual pass to keep your brand's voice intact, but the time savings are real.
Our branding agency started using Jasper.ai for ad copy drafts and it made a huge difference. When deadlines piled up, having AI handle the first pass meant our team could focus on brand voice instead of staring at a blank page. It made our work faster and we consistently turned out better stuff for clients, especially on rush jobs.
Here's something that actually worked. We started using language models to edit drafts at Enlighten Labs, with Superpencil handling the automation part. Once we adjusted the prompt chaining for our Synthesizer AI, it cut our first round of edits by more than 40 percent. The trick is to customize the model's output preferences so the suggestions match your style right away, instead of you having to fix everything.
I started using ChatGPT to check my marketing emails and it saved me a ton of time. The small copy errors and awkward phrasing disappeared, so our reviews now focus on the message, not the grammar. It works for landing page updates too. If you're in digital marketing, I'd suggest using AI for routine content edits. You get things done faster and the quality doesn't drop.
Using AI for clarity edits and structure (not final wording). After completing a draft, I submit the document to an LLM (e.g., ChatGPT or Claude) with a specific prompt requesting it to: Flag any areas that appear unclear or lack logical flow, identify any repeated or weakly connecting sentences, provide suggestions on how to reorder sentences within the paragraph. I do not accept any suggested rewrites on a line-by-line basis but will incorporate the suggested changes into my manually edited version. AI has a greater ability than humans to objectively evaluate the structure and clarity of documents. When we allow for human review to maintain correct tone and judgment, our final product is of a higher quality and avoids a great deal of redundant/mechanical revision. Results 1. Editing time was reduced by approximately 35% for long-form content. 2. Less back and forth between stakeholders and my team during the editing process. 3. Increased consistency of structure across multiple pieces. 4. The absolute key to this process is using AI as a tool for editorial assistance, rather than a co-author.
Using AI as an editing tool for editing after humans will produce an editorial (keyword indexed) product. Using AI for editing produces a more streamlined, faster-to-launch product, since the AI decreases both time spent on editing and communication between the writer and editor.
Using AI for editing is best used as the initial stage of removing structure, as opposed to final phrasing. The first thing we do is to use AI to condense lengthy drafts into outlines. This helps to find instances of repetitiveness and similar content. Ultimately, we use AI to help us identify one or two sentences that best describe the main point. The way we divide the process is very simple: AI helps with the editing process, while we do the refinement. AI is not used for a final phrasing; we use it to reduce the number of words before we make a refinement to the final set of edits. By using this approach, we estimate a 40-50% reduction in time spent editing quotes from authors/experts related to thought leadership, while still maintaining the quality of the overall product. The challenge I run into most often is permitting AI to compose the content itself. However, the real benefit of using AI is its ability to efficiently eliminate the excess content.
I sign up for Structural Triage to minimize the amount of time everything will take. Rather than resolving grammar right away, I check the 'bigger picture' by using AI. I submit my draft and my writing rules to an AI service. I want it to detect flimsy arguments, incorrect tones of voice, or too many repetitions of the same words. This lets me fix the big things first before I concern myself with small ones. I don't waste my time polishing sentences that I might trash the next day. Now my editing takes only about half the time.