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- ChatGPT Work just launched
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Here’s what’s on the menu today:
ChatGPT Work Can Plan, Build, and Automate Your Projects
Meta Drops Muse Spark 1.1
Superhero Tools: Content Creation
Tutorial: How to Use Muse Spark 1.1
Quick Toasts: Meta begins monetizing its frontier AI models
Total read time: About 5 minutes, perfect for a quick coffee break
OpenAI has introduced ChatGPT Work, a new workspace powered by GPT-5.6 that can connect to your business tools, plan projects, create documents, build websites, and automate recurring tasks all from a single interface.
ChatGPT Work gathers context from your files, apps, and connected tools to create polished spreadsheets, documents, presentations, and more.
Users can now build interactive websites, dashboards, project trackers, reports, and internal web apps that stay updated as data changes.
ChatGPT connects with business tools and workflows, bringing context from platforms your team already uses.
Before starting a task, ChatGPT creates a step-by-step plan, asks clarifying questions, and lets you approve or modify the approach.
Schedule one-time or recurring work, monitor progress, and check updates from web or mobile.
The ChatGPT desktop app now includes a built-in browser with multi-tab support for richer agentic workflows across files and applications.
ChatGPT Work is available today for Pro, Enterprise, and Edu users, with Plus and Business access rolling out over the next few days. The updated ChatGPT desktop app is available on Windows and Mac, including for Free users.
Personal Take: OpenAI is moving beyond chat and positioning ChatGPT as a complete productivity platform. With planning, automation, websites, document creation, plugins, and desktop workflows all in one place, ChatGPT Work feels more like an AI operating system than a chatbot.
Try the AI that knows your customers. No commitment.
Most platform evaluations start with a demo request and end three weeks later in a conference room. This one takes 15 minutes and puts you directly inside Gladly's interface — navigating it on your own terms.
See how AI surfaces real-time customer context before a conversation starts. Watch how a single conversation thread pulls in purchase history, channel history, and account details without a handoff.
No installation. No commitment. Start the interactive demo and see the platform for yourself.
Image Source: Meta
Meta has unveiled Muse Spark 1.1, a major upgrade to its multimodal reasoning model, bringing stronger coding, computer use, long-context reasoning, and agentic capabilities. The company also launched a public preview of the Meta Model API for developers.
Muse Spark 1.1 delivers significant improvements in reasoning, coding, tool use, and multimodal understanding over the original Muse Spark.
The model can plan complex tasks, delegate work to parallel sub-agents, and coordinate workflows across apps and services.
Muse Spark 1.1 can manage massive context windows, remembering earlier actions and retrieving relevant information throughout long-running tasks.
The model can navigate software, automate workflows, write scripts, and interact with desktop applications with minimal human input.
Meta says Muse Spark 1.1 performs significantly better on debugging, enterprise codebases, feature development, and large code migrations.
The new Meta Model API is now in public preview, giving developers access to Muse Spark 1.1 for building AI-powered applications.
Muse Spark 1.1 can also be accessed in Thinking Mode inside the Meta AI app and on meta.ai.
Personal Take: Meta is clearly pushing beyond chatbots toward AI agents that can plan, reason, code, and operate software autonomously. With a million-token context window and a developer API, Muse Spark 1.1 positions Meta as a serious competitor in the race for enterprise AI and next-generation autonomous agents.
Superhero Tools (Content Creation)
Taplio: An AI-powered LinkedIn growth tool that helps you write posts, schedule content, generate ideas, and analyze performance to grow your professional audience.
Canva: Create stunning social media graphics, presentations, videos, documents, and marketing materials with AI-powered design tools and ready-made templates.
Beehiiv: An all-in-one newsletter platform for writing, publishing, growing, and monetizing email newsletters with built-in analytics and automation.
CapCut: An AI video editor that lets you create professional videos using features like auto captions, AI avatars, background removal, text-to-video, and smart editing tools.
Tweet Hunter: An AI-powered X (Twitter) growth tool that helps generate viral tweets, schedule posts, manage content, and discover high-performing ideas to grow your audience.
Steps:
Step 1: Open Meta AI or visit meta.ai.
Step 2: Select Thinking Mode.
Step 3: Enter a detailed prompt.
Example: "Build a project tracker with a dashboard and analytics."
Step 4: Let Muse Spark 1.1 plan the task, reason through it, and use tools if needed.
Step 5: Review the output and ask for refinements until it's exactly how you want.
💡 Pro Tip: Give Muse Spark complex, multi-step tasks like coding, research, planning, or automation, it performs best when handling end-to-end workflows instead of simple questions.
Quick AI News Bites
OpenAI and Google face scrutiny over AI sales to China-linked firms. A report says both companies supplied AI models to Singapore-based subsidiaries of Chinese tech giants that appear on U.S. military blacklists, prompting renewed calls for tighter AI export controls.
Meta begins monetizing its frontier AI models. After investing heavily in AI infrastructure, Meta has started charging developers for API access to its Muse Spark 1.1 model, marking a major shift from investment to revenue generation.
Governments are increasing oversight of advanced AI models. OpenAI's latest release highlights a growing trend of national security reviews and staged deployments before frontier AI systems reach the public.
AI infrastructure debates are expanding beyond data centers. Researchers argue that while data center growth is important, policymakers should also focus on AI's broader economic, labor, and governance impacts as adoption accelerates.
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— Poonam Soni