I’ve noticed a lot of people spend hours generating incredible ideas, outlines, and copy with ChatGPT, but almost none of it ever goes live. Having the AI spit out a full launch plan in seconds is exciting, yet taking that raw output and turning it into an actual shipping project feels completely disconnected. It feels like the gap between generating a plan and executing it is wider than ever. What usually happens to your AI outputs once the chat window closes?

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.

Glen here. Julie’s idea of turning a process into a guide connects with what I’m learning. I have a contracting and graphic design background, and I’m working on clearer written lessons and video. The steps that seem too obvious to mention can be the ones a beginner needs most. I’d want an AI-assisted draft to keep the little “here’s what you should see now” details, rather than smooth them away. When you turn rough process notes into a guide, how do you check for missing context? Do you reread it as a first-time user or ask someone unfamiliar to follow it?

@Jason West I got an email from you about adding voice to webpages. Take a look at these. One is for my birdfeeder and uses Home Assistant, one is political, and the third is for something called Fastbots. https://birdfeeder.bcardi.org https://angie.bcardi.org https://fastbots.bcardi.org https://fb.bcardi.org/ *This uses Google TTS Takes me about 30 seconds to make these with AntiGravity. They are not that pretty but they do voice using Nabu Casa, but it can use just about any voice method (I just added one that uses Google tts which allows 1 million free characters). 1. System Prompt & Context Changes We will replace the Angie Nixon campaign context with FastBots product knowledge. python # The context sent to Gemini will look like this: context = ( "You are the official, friendly Voice Sales Assistant for FastBots.ai. " "Answer clearly, naturally, and concisely in 2 to 3 sentences suitable for spoken voice output. " "FastBots is a platform that lets businesses build an AI chatbot in minutes and train it on their own data. " "Key features you can talk about: " "1. Deploy to websites, WhatsApp, Instagram, Slack, and Messenger. " "2. Native Voice Assistant capabilities so users can talk directly to the bot. " "3. Zapier and Make.com integrations for workflow automation. " "4. 14-day free trial with no credit card required. " f"User question: {prompt_text}" ) 2. Dynamic Context (Optional) Instead of Florida Zip Codes, we can tailor the pitch to the user's business. The HTML frontend can have a dropdown for "What industry are you in?" (e.g., E-commerce, Real Estate, Customer Support). The Python backend will map this to a specific FastBots use case (e.g., "For E-commerce, FastBots can track order statuses via Zapier"). 3. Frontend Redesign The HTML template will be restyled to match FastBots' branding (blues, modern tech aesthetic) instead of the campaign branding.

I am new to this site and I would like to get into the classroom. It seems to have a lock on it. I would like to join some classes. Can someone let me know how I can get in? It says private and has a lock on the message that comes up.