Abstract
The central shift: from answers to completed workOpenAI is moving ChatGPT away from the traditional question -> model -> answer paradigm toward a broaderoperating model: goal -> agent -> context -> tools -> actions -> verification -> finished result.GPT-6 matters not only as a more capable model. It increasingly acts as the intelligence layer behind a largerexecution environment that includes ChatGPT Work, Codex, Skills, Plugins, Workspace Agents, Cloud Browser,Computer Use, Desktop, long-running tasks, and persistent context mechanisms.KEY THESISThe most important transformation is larger than a model upgrade. ChatGPT is gradually becoming ageneral-purpose AI work environment in which the model is only one layer of the system.Verification notes and corrections The core GPT-6 family is best described as Astra, Sol, and Luna. GPT-6 Pro is a product-level configuration oraccess mode powered by Astra, not a fourth foundational base model. Workspace Agents should not be described as universally available. Access depends on plan, workspacesettings, administrator policy, region, and rollout status. Memory is not synonymous with every persistent context source. Projects, Library, connected apps, files, andComputer History are separate context mechanisms. OpenAI has documented a migration path from Custom GPTs toward plugins. The standard retirement date forCustom GPTs is December 11, 2026, with specific Enterprise exceptions and extensions. WebMCP should be described as a proposed web standard. Site Tools already exist, but WebMCP is not yet auniversally adopted industry standard. Sites and the Agents API remain beta/public-beta products; their strategic importance should not be confusedwith full maturity or universal availability.Important GPT-6 agentic capabilitiesSeveral GPT-6 features are especially relevant to agent architectures: async tool calling, mid-turn steering,reasoning-effort changes during continuation, subagent delegation in supported environments, and persistent notesfor long-running work in Codex. These capabilities push the interaction model beyond a simple synchronouschatbot
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