OpenAI launches ChatGPT Sites in public beta
ChatGPT Sites turns prompts or existing projects into hosted websites, lightweight apps, and games that users can refine, deploy, and share from ChatGPT.
CURATED TIMELINE · EDITORIAL EDITION
Operator proved an agent could drive a browser. Manus made the broader contract legible: assign an outcome, let a cloud computer work, and receive a finished artifact. Follow that idea through ChatGPT agent, Manus 1.5, Claude Cowork, WorkBuddy, ChatGPT Work, and Sites.
Timeline overview
Editorial thread
Reviewed event briefs and original editorial context, ordered to show how the story changed over time.
ChatGPT Sites turns prompts or existing projects into hosted websites, lightweight apps, and games that users can refine, deploy, and share from ChatGPT.
Claude Cowork is expanding to web and mobile, allowing delegated tasks to continue when users leave their computers and to resume across devices.
Tencent Cloud took its WorkBuddy office agent global, dispatching tasks and sub-agents in parallel from a single instruction to deliver ready-to-use work output.
Anthropic extends Claude Code's execution model to non-coding work, letting Claude plan tasks and produce professional deliverables inside authorized folders.
Manus 1.5 turns conversational site-building into a full-stack Web App Builder that deploys directly, covering backend, database, auth, and version management.
ChatGPT agent unifies web operation, deep research, code execution, and editable deliverables into a single agent.
Manus asks users for an outcome, then plans, researches, codes, operates websites, and returns finished artifacts from a cloud virtual machine.
Operator uses a visual computer-use model to click, type, and scroll through web tasks, handing control back for logins, payments, and sensitive actions.
The competitors finally met on the same end-to-end chain. Sites could start from a prompt or compatible local project, then generate, preview, revise, version, deploy, and share a website, app, or game with D1 data, R2 storage, authentication, and environment variables.
Both Sites and Manus 1.5 pursue nontechnical users who want a full-stack app from natural language. Manus emphasizes code export, custom domains, SEO, analytics, and Stripe; Sites emphasizes Work and Codex, local projects, ChatGPT identity, and Cloudflare-backed hosting. Similar category, different product boundaries — not evidence of plagiarism.
Cowork became a persistent work layer. Web and mobile access allowed a task to keep running away from the desktop and move across devices. Anthropic also said more than 90% of Cowork usage was outside software development, led by business operations and content creation.
That usage claim matters because it shows a coding-agent harness crossing into general knowledge work, not merely appearing in a launch demo.
The office ecosystem became the platform. WorkBuddy was positioned as an agentic workspace rather than a smarter chat box, dispatching tasks and sub-agents while connecting models, enterprise data, and messaging clients.
Competition now included permissions, remote control, local files, and collaboration channels — the operational surface around the model, not only its benchmark score.
Cowork's direct lineage is Claude Code. Anthropic brought the coding agent's execution harness to files and knowledge work: authorize a folder, let Claude create and edit artifacts, split tasks, and deliver documents, spreadsheets, or presentations.
The ancestry is different from Manus, but the interface contract converged: describe the result, allow autonomous steps, then review the finished work. Convergence does not establish copying.
Manus turned website delivery into a product line. The 1.5 release moved beyond static pages to hosted applications with a backend, persistent database, authentication, embedded AI, notifications, visual editing, rollback, permissions, and custom domains.
This, not the abstract idea of a general agent, is the closest baseline for comparing ChatGPT Sites.
The large platforms began joining separate capabilities into one task loop. ChatGPT agent combined Operator's browser control, deep research's synthesis, and code execution, with editable slides and spreadsheets as explicit outputs.
That is not proof that OpenAI simply followed Manus; Operator and deep research predated it. The shift is in the yardstick: after Manus, the market increasingly judged an agent by whether it could finish work end to end in its own environment.
Manus changed the contract more than the underlying model. Users specified an outcome, while a cloud computer planned, searched, coded, operated sites, and returned reports, spreadsheets, or web pages.
The invitation scarcity and “first general agent” language were marketing. Calling it only a wrapper, however, misses the product innovation in orchestration, execution state, process visibility, and artifact delivery.
Manus did not invent agents that operate interfaces. Six weeks earlier, Operator could inspect a browser, click, type, and scroll, with user takeover around credentials, payments, and sensitive decisions.
Operator's boundary was still the browser. It proved visual computer use, but it did not yet package research, code, files, and polished artifacts as one general work environment.