ChatGPT has had two useful changes this week, especially if you want it to do more than answer questions. OpenAI has added GPT-6 Sol and GPT-6 Luna to ChatGPT Work and Codex. Sol is intended for more demanding professional work, while Luna brings lower-cost access for work you can supervise and check. Astra remains the model for the most important jobs. At the same time, Voice in Work now works on web and mobile for eligible accounts. That means you can talk through a task while you are away from your desk, then have ChatGPT create a document, presentation or spreadsheet, use a connected app or work in a browser. If you stop the voice conversation before the task is done, it can keep going in text. The sensible first test is not "run my business from my phone." Try one contained job. After a client call, say: "Turn these notes into a follow-up email, a list of agreed actions and a one-page brief. Mark anything you are not certain about. Do not send anything." You still review any action that needs approval on screen, but voice makes it easier to get the job moving before you forget the details. Which job would you rather explain out loud than type from scratch? Sources: https://openai.com/index/introducing-gpt-6-sol-and-luna/ and https://help.openai.com/en/articles/6825453-chatgpt-release-notes

Hi guys! Big day yesterday, with OpenAI launching all kinds of things at DevDay. I’ve grouped the full list below so you can see what’s new. These are announcements, with a mixture of releases, previews and things still coming. Access depends on your plan, location and workspace settings. 1. Assistants, models and privacy • Dots: an always-on personal assistant with a cloud computer. Rolling out to eligible Pro and Business Premium users; the Enterprise, Edu and Healthcare beta needs an admin to enable it. • GPT-6.1 Sol: stronger coding, computer use and professional work in ChatGPT Work, Codex and the API. Not ordinary Chat yet. Standard API token prices are one-fifth of Astra's, which is separate from subscription pricing. • Ultrafast: up to eight times faster Astra token generation in Codex, using more allowance. Pro 500 and eligible Enterprise access; Sol's version is coming soon. • Private Intelligence: stronger enterprise data protections, with Private Inference previewing this autumn. 2. Building and maintaining software • Codex in the cloud: tasks continue while your laptop sleeps, using reusable development environments. • Refreshed Codex CLI: voice, clearer multi-agent management and improved session workflows in the terminal. • Code Review: a unified review experience plus automatic cloud reviews. GitLab support is in preview. • Codex Security Cloud: repository scans, ongoing commit checks and proposed vulnerability fixes for review. • Decisions API: Luna handles bounded classification and routing decisions. Limited preview. • Agents API with computer use: developers can build agents that operate software through a hosted browser. • AWS Bedrock Managed Agents: OpenAI agent capabilities running within AWS. Preview. 3. Plugins and connected workflows • Plugin extensions: interactive panels, sidebar tools and file viewers inside ChatGPT. • Improved plugin creation, submission and discovery: easier building, clearer submission feedback and better discovery. • Sites can host plugins: shared apps use each person's connected data and permissions.

Saving powerful prompts and workflows feels great until you actually try slotting them into your business. You get an output that looks awesome in chatgpt.com, but then moving that draft into actual content creation, client work, or outreach still takes a bunch of manual copy-pasting. It seems like the bottleneck moved from thinking of what to say to organizing what to do with the generated text. How do you turn useful chat outputs into an actual daily process?

Ever asked ChatGPT to change one thing in an image, only for something else to mysteriously change too? The background looks lovely, but your product now appears to have a new logo. Cheers for that. 😂 OpenAI has launched ChatGPT Images 2.5, with improvements aimed at making image creation and editing more useful for everyday work. Here's what stands out: • More precise edits, with better preservation of the details you want to keep. • Better consistency across several rounds of changes. • Sharper detail, more natural lighting and improved layouts. • Faster generation, with OpenAI reporting up to 50% lower latency compared with Images 2.0. There are also three handy additions: Sketch lets you draw a rough idea directly in ChatGPT, templates help you start with a format such as a poster, and prompt sharing lets other people adapt your creations. For business owners, I'd start with a small, real job: a promotional graphic, a product image or a thumbnail. Try uploading a product photo and asking: “Create a square social media graphic using this product photo. Keep the product, packaging and logo unchanged. Use a clean cream background, leave space at the top for a headline, and add the exact words: ‘Meet your new favourite’.” Then ask for one change: “Change only the background to pale blue. Keep everything else the same.” Check the logo, wording and product details yourself. That's a much better test than whether the first image looks impressive! OpenAI says Images 2.5 is rolling out across all ChatGPT tiers on web, mobile and desktop. Full announcement: https://openai.com/index/introducing-chatgpt-images-2-5/ What would you try first: product photos, thumbnails, social posts or something completely different?

An FAQ should not be a dusty page that every business promises to update when things calm down. The useful version comes from the confusion customers are already showing you in emails, sales calls, support tickets and reviews. Give ChatGPT Work a small pile of real material: recent customer questions, a few sales-call notes, support conversations and your current FAQ or service page. Then ask it: "Create an evidence-backed FAQ brief. Group repeated customer questions, show which source each question came from, compare them with our existing answers, and flag any answer that is vague, missing or makes a claim we cannot prove. Draft a short proposed answer for each gap, but keep uncertain points clearly marked for review. Finish with the five questions most likely to help a buyer make a decision." That gives you more than a fresh batch of copy. You get a reviewable list of what customers are actually trying to understand, where your current explanation is falling short, and which answer deserves attention first. Do not publish every draft answer blindly. Check the sources, tighten anything that sounds too confident, then update the page in small batches. A useful FAQ is really a record of the questions your business keeps being asked. Which customer question do you answer so often that it deserves a proper home on your site?