In plain English
- What happened
- AI agents that can carry out tasks on their own — browsing a site, filling out a form, sending a message, completing a purchase — are now built into the major chatbot products, not just research tools. OpenAI has published how its ChatGPT agent handles sensitive moments, and Anthropic has set out guidance for giving an AI model control of a computer. Both describe an agent that acts on its own for routine steps but is meant to stop and check with the person before anything consequential.
- Why it matters to your business
- Asking a chatbot a question and letting a tool act on an account are two different risks. A wrong answer wastes a few minutes; an agent that sends the wrong email, books the wrong order, or enters payment details on the wrong page can cost real money and take real time to undo. The gap between those two outcomes is exactly what each vendor's confirmation settings are built to manage, and most business owners never look at them before connecting an account.
- Do this
- Open the settings or help page for any agent tool already connected to a business account and find the list of actions it will pause and ask about before taking.
Before connecting an AI agent to anything that matters — email, a calendar, a payment method, a customer list — the thing worth checking first is not what the agent can do. It is what the agent will stop and ask permission for, and what it will simply go ahead and do on its own.
What makes something an agent, not just a chatbot
A chatbot answers a question and waits. An agent is given a goal and takes a series of steps toward it without being told each one — opening a page, reading it, clicking something, filling in a form, moving to the next step. That is useful for repetitive work, and it is also the point at which a tool stops being a conversation and starts being something with a hand on the keyboard.
What the vendors say their agents will pause for
OpenAI's description of its ChatGPT agent says the tool is built to hand control back to the user at points like entering login credentials or payment details, and to ask for confirmation before completing an action such as a purchase. The idea is that the agent does the research and the clicking, but the person still approves the step that costs money or shares a password.
Anthropic's guidance on letting a model operate a computer takes a more cautious line. It recommends giving the agent a dedicated, limited environment rather than full access to a regular account, because a model reading a webpage can be manipulated by text on that page into taking an action the user never asked for — a risk security researchers call prompt injection. Anthropic's own advice is to keep agents away from sensitive accounts where that kind of mistake would be expensive.
OpenAI's own description of its ChatGPT agent says it hands control back to the user before entering payment details or submitting a purchase — the pause is built in, not something the business has to request.
What to check before giving an agent real access
- 1
Find the confirmation list
Look in the tool's settings or help documentation for the specific actions it says it will pause for — purchases, logins, sending messages — and which ones it will not. This is usually stated plainly on the vendor's own site, not buried in terms of service.
- 2
Use a separate login
Where possible, connect the agent to a dedicated account rather than the main business email or admin login, so a mistake touches one inbox or one calendar instead of everything.
- 3
Cap what it can spend
If the agent will have access to a payment method, use a card with a low limit or a prepaid card rather than the business's primary card, at least while getting a feel for how it behaves.
- 4
Watch the first sessions in full
Stay at the screen for the first several tasks rather than leaving the agent unattended, so any wrong turn gets caught before it finishes.
- 5
Pick one person to spot-check it
Decide who looks at what the agent actually did each week — the sent messages, the completed orders — rather than assuming the confirmation prompts caught everything.
Reality check
An agent that pauses for logins and purchases is not the same as an agent that understands the business. It will still misread an ambiguous instruction, act on stale information, or complete a task in a way that's technically correct but not what was meant. The confirmation prompts catch the expensive mistakes, not the small wrong ones, and those still need a human reading the output.
The decision is not whether an agent can save time — for routine, repeatable tasks, it often can. It is whether the specific tool being considered says, in its own documentation, what it will stop and ask about, and whether that list covers the accounts and money a particular business cares about protecting.
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