Meet the Web Agent: AI That Drives a Real Browser For You

# Meet the Web Agent: AI That Drives a Real Browser For You

For years, AI assistants have been great at telling you how to do something on the web. The Web Agent does it for you.

Vincony's Web Agent is a new Power plan feature that autonomously operates a real cloud browser to complete multi-step tasks you describe in plain English. You type an instruction, the agent spins up a browser in the cloud, and you watch it click, type, navigate, and extract — step by step — until the task is done.

What "a real browser" actually means

There is an important distinction between what the Web Agent does and what a traditional web scraper does.

A scraper fetches raw HTML. It breaks on JavaScript-rendered pages, cannot interact with forms, and falls apart the moment a site uses a modal or a login wall. It is also trivially blocked by most modern websites.

The Web Agent runs a full Chromium browser in a sandboxed cloud environment. Pages load completely — JavaScript executes, dynamic content renders, interactive elements respond. The agent can click buttons, fill text fields, select dropdown options, and navigate across pages in sequence. If a human can do it in a browser without logging in, the Web Agent can attempt it.

Describing a task

You interact with the Web Agent entirely in plain English. There is no need to write code, identify CSS selectors, or map out a scraping schema. You simply describe what you want:

• "Find the founding year of Stripe on its Wikipedia page"
• "Go to TechCrunch and gather the five most recent headline titles"
• "Look up the price of a MacBook Pro 14-inch on three different pages and tell me which is lowest"
• "Fill in the contact form on example.com with this name, email, and message"

The agent interprets your instruction, plans a sequence of steps, and begins executing them in the browser.

Watching it work: live steps and screenshots

One of the most distinctive aspects of the Web Agent is its transparency. You do not hand off a task and wait for a result to appear. You watch the entire process.

Each action the agent takes appears as a numbered step in real time:

• Navigated to en.wikipedia.org
• Searched for "Stripe founding year"
• Clicked the top result
• Located the infobox — extracted founding year: 2010

Every step includes a screenshot of the browser at that moment. You can follow the agent's reasoning, confirm it is heading in the right direction, and intervene immediately if something goes wrong. The complete step log is saved after the run so you can review the full execution trail.

Safety controls: allowed domains and step limits

Running an autonomous agent on the web raises a fair question: what stops it from going somewhere it should not?

The Web Agent includes two guardrails you set before each run.

Allowed domains — you can specify a list of domains the agent is permitted to visit. If you only want it working on Wikipedia and nothing else, set that restriction and it will stay there. Leave the list open for tasks that require navigating across multiple sites.

Step limit — you can cap the maximum number of actions the agent may take. This prevents runaway tasks and keeps credit usage predictable. A ten-step cap is plenty for most research tasks; form-filling workflows might need twenty or thirty.

Both settings are optional — you can run without them for full autonomy — but they are there when you need them.

Stop anytime. There is a stop button in the interface that halts the agent immediately. When you stop a run, you receive a summary of what was completed to that point. Nothing continues in the background.

The cloud sandbox: isolation and privacy

The Web Agent runs in a sandboxed cloud environment that is entirely separate from your local machine. It does not have access to your local browser, your saved cookies, your passwords, or any other session data. Each run starts in a fresh, clean browser context.

This isolation means the agent cannot accidentally interfere with anything on your machine, and it means sites cannot use the session to access your personal accounts. The agent operates only on what is publicly visible to an unauthenticated browser.

Example use cases

Research and data gathering. The Web Agent is well suited to tasks where you need to pull a specific piece of information from a known location. Founding years, executive names, product specifications, headline lists, pricing from a public product page — anything that lives on a publicly accessible page can be retrieved without you touching the browser.

Price comparison. Give the agent a product name and two or three URLs. It visits each page, locates the price, and returns a comparison. Useful for quick purchasing decisions without opening multiple tabs.

Form submissions. Multi-step contact forms, registration flows, submission portals — the agent handles them. Give it the field values and the URL and it fills the form sequentially, as a person would.

Content monitoring. Ask the agent to visit a specific page and report on its contents — whether a post has been published, whether a price has changed, whether a section of a page says what you expect. Pair this with Vincony's workflow tools for repeatable checks.

Credit usage and plan access

The Web Agent is available on the Power plan at $54.99/month, which includes 5,000 credits. Each task uses approximately 10–25 credits depending on the number of steps involved. Setting a step-count cap before a run gives you precise control over usage.

The Power plan is designed for users who need Vincony's most capable automation features. A full list of what is included at each tier is on the pricing page.

Getting started

Open the Web Agent at /os/agent once you are on a Power plan. The interface is straightforward: a task input field, optional domain and step settings, and a live action panel that shows you exactly what the agent is doing.

Start with a simple task — a single-page research lookup or a short form fill — to get a feel for how the agent operates and how to write instructions it interprets well. From there, it is a matter of finding the tasks in your workflow where having an autonomous browser is worth 10–25 credits a run.

The Web Agent is the beginning of a broader agentic layer on Vincony. If you have task types you would like to see it handle, the feedback link in the interface goes directly to the product team.