Consumer AI Agents Go Live

The article reports Windows 11 rolling out a 'Hey, Copilot' wake word, Copilot Vision that streams the user’s screen, and 'Copilot Actions' that autonomously edit local files. This mainstreams agentic assistants that act on users’ behalf—exactly the shift flagged by the idea that consumer AI agents are entering everyday use and will force privacy, liability, and safety-by-design debates.

While the existing idea focused on OpenAI’s user‑facing ChatGPT Agent, CodeMender shows agentic AI crossing into production software operations—automating end‑to‑end vulnerability remediation rather than just drafting code—an adjacent, operational instantiation of agents acting on users’ behalf.

By arguing that agentic AI (systems that decide and act) will be more transformational than chatbots, it dovetails with the recent mainstreaming of consumer AI agents.

ChatGPT's 'Instant Checkout' uses an Agentic Commerce Protocol to execute real purchases (Etsy now, Shopify soon) and collects fees, matching the shift from chat to agentic action described in this idea.

Anthropic paired the model with virtual machines, memory, context management, and multi‑agent support so developers can build agents—another step in mainstreaming agentic AI beyond chat, akin to OpenAI’s agent launch.

Guardio’s demo of Perplexity’s agentic Comet browser add‑on buying a watch from a fake shop illustrates the safety and liability risks predicted when mainstream agents can act on users’ behalf; the article generalizes this with email‑borne prompt‑injection that triggers LLM actions.

Google is integrating Gemini into Chrome with a one‑click chatbot and plans 'agentic capabilities' that control the cursor to add items to shopping carts, paralleling the move to assistants that browse, synthesize, and act on users’ behalf.

As mainstream agentic assistants begin to act on users’ behalf, the article’s 'sandbox economy' and permeability controls provide a governance architecture for those agents to transact safely without destabilizing human markets.

Mollick describes GPT‑5 Pro autonomously running code, Monte Carlo analyses, and methodological checks on his econometrics paper—agentic behavior akin to AI assistants that act rather than just chat, reinforcing the need to treat these systems as operational actors with audit and liability implications.

The Oakland A’s experimenting with AI management is a concrete case of agents acting in the world on users’ behalf, moving beyond chat to consequential, organization-level actions.

OpenAI’s 'introducing ChatGPT agent' post, the 400/40 credit tiers, and Altman’s public warning.