Writing With Voice Assistants

Typing faster isn’t making you more productive. It’s just making interruption feel normal. We’ve been trained to optimise speed: → Faster typing → More tabs → More tools → More “efficiency hacks” Yet work still feels exhausting. Because the real problem isn’t speed. It’s friction. I realised this after using Lemon a voice-powered AI agent that turns what you say into finished work. Instead of typing, clicking, and switching tabs, heylemon.ai lets you stay exactly where you are. Here’s how Lemon works: 1. Press the Fn key on your Mac 2. Say what you want done 3. Lemon executes it in the background The first time I used it, I said: “Reply to this email. Summarise their points. Propose two meeting times next week.” It happened instantly. → Email drafted → No typing → No new tabs → No mental reset That’s when something clicked. I wasn’t slow before. I was interrupted. Before Lemon, my workflow looked like this: → Think → Type → Switch tabs → Re-read → Lose momentum Over and over. With Lemon: 1. Think 2. Speak 3. Done And that difference compounds. Because the average knowledge worker: 1. Types for 3+ hours a day → Switches tabs 1,100 times daily → Loses focus every 40 seconds No amount of faster typing fixes that. Removing friction does. Lemon handles: → Email and message replies → Research and document creation → Instant search across knowledge → Feedback, ideation, and rewrites → Dictation at the speed of thought All without pulling you out of flow. What surprised me wasn’t the speed. It was the calm. When there’s no gap between thinking and doing: 1. Focus lasts longer → Decisions feel clearer → Work feels lighter Lemon didn’t give me more hours. It removed the invisible tax modern tools place on attention. And once you experience work without constant interruption, typing faster stops feeling like the goal. That’s when you realise: our voice might be the most powerful interface you have.

I haven't typed a full paragraph in months. Most founders are still grinding out content the hard way. Meanwhile, I'm creating more efficiently using voice and AI systems. Content creation shouldn't come with burnout. Here's how I create 30 pieces instead: 1. Voice-First Creation I speak my ideas instead of typing them. Voice is faster than fingers and captures natural conversational flow. AI transcription tools turn my thoughts into polished content instantly. 2. The 3-Tool Content Engine Tool 1: Voice recorder for raw idea capture during walks or commutes. Tool 2: AI transcription that turns speech into structured drafts. Tool 3: Content optimization AI that adapts one idea across multiple platforms. 3. The Secret Content Checklist Before any content goes live, it passes through 5 systematic checks. Hook strength, value delivery, platform optimization, engagement triggers, and call-to-action clarity. Quality control happens through systems, not hope. 4. Content Multiplication System One 10-minute voice recording becomes 30+ pieces of content. LinkedIn posts, Twitter threads, YouTube scripts, newsletter sections. Each optimized for its platform while maintaining core message integrity. 5. Batch Production Days I record all content in focused 2-hour sessions. Then AI handles the heavy lifting of adaptation and optimization. Creation becomes systematic instead of reactive. The result: Content creation that scales without burning out the creator. Most founders create content. I systematize content production. Your voice is your competitive advantage. AI can optimize and multiply, but it can't replace your unique perspective and experience. Stop typing yourself into burnout. Start speaking your content into existence. __ Enjoy this? ♻️ Repost it to your network and follow Matt Gray for more. Want to learn how to create content the easy way? Get my free AI course that shows you the systems that helped me scale my businesses with AI automation. Join here: https://lnkd.in/eVfUj42h 

All PMs should be using voice AI. I have 6 key use cases: 1. Writing faster You speak at 150-200 words per minute. You type at 40-60. That's a 3-4x difference right there. I dictate PRD sections while walking between buildings, then clean them up at my desk. What used to take 2.5 hours now takes 30 minutes. And the quality is honestly better. I'm explaining concepts naturally instead of staring at a blinking cursor trying to sound smart. 2. Consuming research during dead time I used to block hours at my desk reading competitor teardowns and market research. Now I save articles to my phone and listen at 1.5x during commutes, workouts, and dishes. Six 20-minute articles become 60 minutes of walking over three days. It's had an awesome side effect, too. I retain things better. (Because I'm not multitasking with Slack notifications.) 3. Catching mistakes your eyes miss Your brain autocorrects when you read your own writing. Listening is different. I play back my strategy memos while making coffee and catch all sorts of problems. Sentences that made sense in my head but are actually incomprehensible. Jargon that sounds ridiculous out loud. Logic gaps I glossed over entirely. The revised version is always 20% shorter and way clearer. 4. Prepping for meetings you'd otherwise skim Be honest. You're not reading the pre-reads. Upload tomorrow's decks tonight. Listen during your morning routine at 1.5x speed. Walk into the 10am product review having actually absorbed the 12-page deck instead of skimming it for 3 minutes beforehand. You'll ask better questions. You'll make better decisions. People will notice. 5. Reading books without blocking time I'd been meaning to re-read "Inspired" for months. So I synced it to my phone, listened during morning walks, and finished in six days. At 2x speed, I was able extract most of the value in 2-3 hours instead of letting it collect dust on my shelf for another year. 6. Asking AI questions hands-free Upload a dense technical spec. Ask the built-in AI assistant to explain it simply. Get your answer in 30 seconds instead of copy-pasting to Claude and bothering your ML engineer. Works across any page you're reading. That's why I've partnered with Speechify to bring a free year of Speechify premium to Aakash's bundle: https://lnkd.in/g3bRR7e6 You'll get access to all these use cases. Here's how I reckon the math works out: 30 min/day = 2.5 hrs/week = 120 hrs/year What's 120 hours worth to you?

🎙️ Talk fast, write slow? You’re not alone—and AI might just be the missing link in your workflow. Some of my best ideas hit on the move—while walking, commuting, or between meetings. I used to lose them in forgotten voice notes… until AI stepped in. Now, with the right tools, I can: ✅ Transcribe voice memos into clean text ✅ Highlight key takeaways and structure outlines ✅ Turn spontaneous thoughts into social posts, blogs, or even pitch decks ✅ Skip the blank page and start from spoken momentum It’s like having an on-demand editor who speaks your language and formats your brainwaves into value. Talking is frictionless. Writing? Not always. But AI is helping bridge the gap between ideas and output. Have you ever turned a voice note into content using AI? I’d love to hear how you’re using tech to capture your creativity on the go. #AIforCreativity #ContentCreation #Productivity

I test 400+ AI tools a year. 90% of them don’t stand out. The 10% consists of tools like this Voice to Text AI that I can no longer work without It’s like Siri if Siri actually understood your accent, context, responded in 500ms, and worked in every app on your computer. If you type more than 2 hours a day, read this 👇 1/ Voice-to-text usually fails in real work. Lag kills momentum. Names get mangled. You end up editing more than you dictated. 2/ We speak around ~150 words per minute. Many typists live far below. An average person types at 40 wpm, so the ceiling on “faster writing” is obvious. But switching Voice to Text only makes sense if latency stays low. The zero edit rate is higher and the text is formatted and structured. Real-time speech systems aim for sub-500ms partial results. Otherwise your brain waits. And you lose flow. That’s why I’ve been watching Wispr Flow. It’s not “dictation.” It’s a keyboard replacement across the apps you already live in. 🔹 You speak naturally. 🔹 It outputs clean, formatted text. 🔹 It adapts to where you’re writing. 3/ The practical tests I care about. Replying to DMs and comments fast, without sounding robotic. Drafting posts while walking. Shipping quick Slack updates without tab-hopping. Turning messy thoughts into structured notes instantly. 4/ Quick reality check on the “Android update.” If you’ve ever thought “I’d use voice… if it actually worked.” This is the bar. Speed that doesn’t interrupt you. Context that doesn’t embarrass you. Try out here - wisprflow.ai

I replaced typing with voice for 30 days. Here's what happened. I type at 40 words per minute. I think at 150. That gap has been costing me for years. And my spelling is terrible. Matthew B. Ziskie put me onto Wispr Flow when James from our team dislocated his shoulder and couldn't type. What started as a workaround became a revelation. Week 1: Awkward. I felt like I was talking to myself. The transcription was good, but I kept defaulting back to the keyboard. Week 2: Something shifted. I stopped dictating short commands and started thinking out loud. Full paragraphs. Half-formed ideas. Tangents. Week 3: I realised the magic isn't the transcription — it's what happens next. When you give an LLM a 2-minute ramble instead of a 10-word prompt, it works harder. Longer input signals you want deeper reasoning, not a quick hit. Week 4: I can't go back. Last week I drafted a 2,000-word strategy doc in 20 minutes. On my phone. Walking the dog. The insight: Stop prompting. Start thinking out loud. Voice isn't faster typing. It's a different way of working with AI. P.S. My speling hasn't improved. But now it doesn't matter. Anyone else made the switch? #AI #VoiceAI #Productivity #FutureOfWork #WisprFlow David Ambrose Andrew Daley Lucy Harding Hugo Rayne

No one at Virio vibe codes. They voice code. This week, the engineering team did a little experiment: we all put down the keyboard and picked up the mic. The math that fueled this decision: • 4 engineers • Running 2-5 agents in parallel on Claude Code/Cursor • For 10+ hours a day = is roughly 1000 minutes/day spent typing. With voice prompting, we could reduce that to 1/10th of the time. So we tried a little experiment—we got every engineer a gooseneck mic and a Wispr Flow subscription, and we set them loose. The results: → One engineer: “My typing speed was 60 wpm with typing manually, and with voice it went to 200.” → Another engineer: “I’ve improved my devops process so much from overhearing how everyone else prompts.” → I checked the LLM token usage, and our API bills are…significantly higher than they were before 😵💫 To be a truly AI-native company, we have to radically open-minded and be early adopters of not just new tools, but also new processes and modalities. The only downside is that sales calls have slightly more “no Claude why did you delete everything” mumblings in the background now—but otherwise this was a very worthwhile investment.

How I create content while walking the dog 🐶🎙️ Every morning, I take my dog Zoomer out for a 30-minute walk. And for a while, I was just talking to him about content strategy ideas—great for me, not so much for Zoomer. So I built something better. Now, while I walk, I talk to an AI interviewer—an agent that I trained to ask me thoughtful questions, challenge my ideas, and push me deeper into topics. It’s like having a built-in podcast host in my ear. Here’s how it works: ✅ I talk through an idea instead of typing. ✅ The AI interviewer guides the conversation like a real journalist would. ✅ The conversation is automatically transcribed and structured into content. ✅ With Zapier, my workflow routes the transcript into the right formats: LinkedIn posts, blog drafts, Substack articles, and even Canva carousels. ✅ And because this is scalable, I’ve built interview agents for myself, our CEO, our CMO, and our demand gen team—so everyone can generate thought leadership content without sitting down to write from scratch. This means that by the time I get home from my walk, I already have the first draft of a post like this one. The goal isn’t to let AI replace thinking—it’s to force myself to the do thinking I need to get the best results out of AI. AI is NOT here to replace your voice. It’s literally here to help you use it. What do you think—would you rather talk your content ideas out instead of typing? #AI #ContentMarketing #ThoughtLeadership #Automation #thoughtleadership #aiagent #subjectmatterexperts

Dictating my content has helped me go from 3,500 word days to 10k word days without ChatGPT or other Gen AIs. I first started dictating content about 4-5 years ago. I was making $0.035 per word and knew I wanted to boost my income. There was no other way to reach my financial goals. You just can't budget your way out of poverty. So I started looking for a solution. There were only two ways I was going to be able to make more money: 1️⃣ Increase my rates 2️⃣ Write as much content as possible To write more, I needed to write more quickly. At that point in time, when typing out my content, I was doing around 3,500 words in 4-5 hours. So I figured I'd try to double that every day and work 8-hour days. As I started using voice-to-text on my iPhone to dictate, it was not a perfect solution. Even now, the tool does not always get it right (shout out to my human editor 🔥), but I quickly went from being able to write 500 words in an hour to 2,000. On a slow week, I do around 20,000 words. I schedule my week out evenly, or in bulk days if I have a lot of personal activities or events on my schedule. I create all my pages at the same time in the Google Docs app on my phone. I outline all at once to ensure all pages are unique, which is crucial when your schedule includes 7 car accident lawyer and 16 criminal defense attorney pages 😅 Then I gather all my stats/sources/facts/ important details to include. The next day, I open up my Google Docs and start with just the intros and CTAs of my pages for that day. Once those are done I take a break and treat myself to a little Starbucks for knocking out 2,000-4,000 words before breakfast 🤭 If I had to pick just one thing that helped me become as efficient and productive as possible, it would be dictating. It's been really exciting to share my unconventional productivity hacks and see that some of you have practiced dictating as well! (So proud of you Rebecca Huxley 🩷) So if you want to give it a try, here are some final quick tips: 🎙️Don't expect it to be perfect right away. There will be dictation errors. 🎙️Be prepared to edit more carefully. Do not trust Grammarly to catch "four" vs "for". 🎙️Your voice-to-text will learn and get better the more you use it. 🎙️Fiddle with your dictation and voice-to-text settings to see what works best for you. 🎙️Talk like you would if you were explaining your page to someone who asked you a question IRL. Revise later. I know 10k word days sound intimidating- and they are. I wouldn’t recommend doing them regularly. But when you push yourself to the limit, you grow. It’s not easy, but just like we become better writers by writing every day, increasing your word count little by little could be life-changing. Especially if clients aren’t ready to pay higher rates, or if you’re having trouble landing higher-paying clients. You never know what you're capable of until you try. And who knows, maybe you'll surprise yourself. ☺️

Voice search is the next frontier everyone's ignoring. While companies obsess over ChatGPT citations and LLM optimization, there's a massive opportunity hiding in plain sight: voice-first discovery. AI can't read your blog content aloud yet, but that's changing fast. Google's Speakable schema is already in beta for news publishers, and voice search queries are growing 35% year-over-year according to recent data. The gap is huge. Most publishers are completely unprepared for audio-first discovery, treating voice search as an afterthought instead of a primary optimization channel. Here's what's interesting: The companies that nail voice optimization early will dominate audio discovery before their competitors even realize it's a thing. We started testing voice-first content strategies with select uSERP clients after noticing the trend. Here’s the voice-first content approach that's working for us: 🚀 Conversational query targeting by focusing on questions people actually ask aloud. "Best marketing automation for small teams" instead of "marketing automation software comparison." 🚀 Audio comprehension structure using clear Q&A blocks and concise answers designed for 20-30 second voice excerpts that provide complete value. 🚀 Voice-optimized schema implementation including Speakable markup for eligible content sections, plus FAQPage schema for broader voice search optimization. 🚀 Context-rich content creation that leads sections with clear topic identification like "This guide explains..." to help voice assistants understand and cite content accurately. 🚀 Conversational flow testing to ensure content sounds natural when read aloud, not just when scanned visually. The timing is perfect because voice search optimization is still largely unexplored territory. Most content is optimized for scanning, not listening. The brands that flip this approach will capture intent through entirely new discovery channels. Are you seeing any voice search traffic yet? How are you thinking about optimizing content for audio-first discovery? 👇