OpenAI has released GPT-Live, a new generation of voice models that now powers ChatGPT Voice. It started rolling out globally yesterday across iOS, Android and the web. The headline change: it can listen and speak at the same time. Every previous version of Voice worked in turns. You talked, it waited for silence, then it answered. That is why it kept butting in when you paused to think, and why the whole thing felt a bit like a walkie talkie. GPT-Live processes what you say continuously, so you can interrupt it mid-sentence, pause to gather your thoughts without it jumping in, or tell it to stay quiet and just listen. It even gives the small acknowledgements a real person does, the odd "mhmm" so you know it is following. The second change is the one I think matters most for business use. When you ask for something that needs real work, a web search, proper reasoning, digging through a file, it hands that job to GPT-5.5 in the background and keeps the conversation going while it runs. You can also pick a reasoning level: Instant for quick answers, Medium or High when you want it to think harder before it speaks. A few practical details worth knowing. GPT-Live-1 becomes the default for paid plans, with a mini version as the default for free users. It can now show visual cards while you talk, things like weather, stocks and sports. It is better at ignoring background noise. And at launch it does not support video or screen sharing, so if you use those, the older voice modes are still available. Here is my take on why this deserves your attention. Voice has been the feature most business owners try once and quietly abandon, because talking to a turn-based bot feels like effort. The interesting shift is that voice can now hold a natural conversation while real work happens underneath it. That starts to look less like a gimmick and more like thinking out loud with an assistant. The obvious first test: next time you are driving or walking, talk through a business problem with it for ten minutes and see what you come back with.

Hi! I've written some posts in the past about rebuilding my dog training business. I've done some searches in this community, but I thought I would post some specifics about my situation. I have so many tools I pay for, and I just can't figure out what to use, when to use it, and how to use them! I spend so much time trying to figure out how to use what I have, both independently and together, etc. There are many things I would like to do, but briefly, here are the things I would like to work on/create to get started. -I would like to create knowledge bases for different things. A couple of examples are: A knowledge base all about my dog training business Knowledge bases on different aspects of dog behavior (reactivity, puppies, anxiety, etc.) I was thinking I would try Google NotebookLM to create the knowledge bases. Then I could use ChatGPT or Gemini to create content from the info in the Google Notebooks. I currently mostly use ChatGPT for my business. I have a project that contains my chats. I don't know much about custom GPTs, but would it be better to learn how to create a custom GPT that's trained on my business rather than using projects? Should I still create the NotebookLM Knowledgebase? This is just scratching the surface for a place to begin. There are many things I want to do, and many different tools. There are also so many more tools I see all the time...maybe something else would be better? What about chatbots? AI assistants? I'm constantly seeing these tools, and they are always adding more and more options to create things. I have asked ChatGPT these questions, but I would like to get some advice from real people who know what they're doing. I'm learning as I go, and it's quite overwhelming! I'm hoping for a little guidance, suggestions, recommendations, and personal experiences from anyone willing to help me out. Feel free to ask me any follow-up questions that may give you some more specifics about anything...what tools do I have, more details on what I would like to accomplish, etc.

I just fell in love with AI, I created my very first Oracle Shuffler Artifact. All images created on CHATGPT and all coding with Claude. Tada. I hope I am allowed to share this here: https://sacredselflove.netlify.app/

Most people accept ChatGPT's first answer, tweak it a bit, and move on. The single biggest upgrade you can make is to stop treating the first draft as the answer and start treating it as something to be marked. Here's the move. You give ChatGPT the task, then you hand it a rubric, the same criteria you'd use to judge the work yourself, and you make it score its own draft against that rubric before you ever see it. Then it rewrites to fix its lowest scores. Say you're writing a cold email. Most people prompt: "Write a cold email to a marketing director offering our service." You get something generic. Instead, try this: "Write a cold outreach email to a marketing director. Then score your own draft from 1 to 10 on each of these: 1) does the first line earn the second, 2) is it about them not us, 3) is there one clear ask, 4) would a busy person read it in under 15 seconds. Show the scores, then rewrite to fix anything under 8." Now you're not hoping for a good email. You've told it what good looks like and made it run the editing pass you'd normally do yourself. Two things make this work. First, the rubric is where your expertise goes. You know what a good email, landing page, or proposal needs, so you encode it once. The model is far better at applying a clear standard than inventing one. Second, asking for scores forces it to actually evaluate instead of just rephrasing, and it will usually catch its own weakest spot before you have to. Save your favourite rubrics and reuse them. A good-email rubric, a good blog-intro rubric, a sales-call-summary rubric. Over time that's a quiet quality system running on every task. What's a task you'd want a rubric for? Tell me the task in the comments and I'll help you build the criteria.

One of the most common frustrations I see in here is that ChatGPT writes well, but it does not write like you. Everything comes out a bit polished and generic, and you end up rewriting half of it anyway. The fix is simpler than most people expect. Instead of describing your style in words, you show it. Grab three or four things you have already written that sound like you. Emails, posts, a page from your website, anything in your natural voice. Paste them in and give ChatGPT this job: "Study these samples and describe my writing style back to me. Cover tone, sentence length, how formal or casual I am, words and phrases I lean on, and how I open and close. Turn it into a short style brief I can reuse." Read what it gives you and correct anything that feels off. Now you have a style brief written in your own voice. From then on, you paste that brief at the top of any writing task: "Write this in the style described below," then the brief, then the task. The output lands much closer to how you actually sound, so you spend your time refining instead of rewriting from scratch. If you use Custom Instructions or a Project, drop the brief in there once and it applies automatically. Have you tried getting ChatGPT to match your voice yet? What has worked, and where does it still fall down? Drop it below.