An AI assistant that can read websites and operate browser tabs can make a repetitive research task feel effortless. The difficult question comes when that same assistant can also reach your inbox, customer records, and purchasing accounts.
For a first workplace pilot, choose one useful job and give it a deliberately small workspace. You can learn whether the tool helps before connecting the rest of the business. The steps below are a proposed evaluation approach, not results from a Lesscode product test.
Start with a job that ends in a draft
Imagine a hypothetical operations team comparing three suppliers. A suitable first assignment is to read their public documentation and produce a comparison with source links. Sending enquiries, uploading internal purchase requirements, and placing orders stay outside the assignment.
Define the expected output before opening the browser: a short comparison covering delivery regions, published support options, and unanswered questions. Tell the assistant to mark missing information rather than fill gaps. Avoid asking it to “handle procurement,” which leaves the scope open to interpretation.
A narrow job also makes mistakes easier to spot. A convincing summary is less useful if nobody can trace its claims back to the pages it read.
Treat page content as evidence, not permission
A web page can contain instructions aimed at the assistant as well as information intended for a reader. Indirect prompt injection is the risk that an AI follows those external instructions instead of the user's task.
Google's April 23, 2026 research examined attempts found in a public web archive. Its findings included efforts to influence AI recommendations as well as malicious instructions. The study had important limits, including incomplete coverage of social platforms and the difficulty of distinguishing attacks from educational examples. It does not establish that every browser assistant will fail on every page.
For the supplier example, a page asking the assistant to send private purchasing data somewhere else has not expanded the team's instructions. The task remains a public comparison. Unexpected requests should stop that part of the workflow and return to the operator.
Separate the workspace from your everyday accounts
Use a dedicated browser profile for the pilot when the product supports it. Keep unrelated accounts signed out, avoid importing saved passwords, and leave confidential documents outside that workspace.
A separate profile reduces accidental exposure; it is not a guarantee of isolation. Check what the assistant can access through connected apps, browser extensions, shared storage, and its own account permissions. A clean tab does not prove those connections are absent.
If the pilot genuinely needs a business system, ask its administrator for the narrowest available access that supports the task. Do not start with a shared administrator login because it is convenient. If the product cannot provide an acceptable access boundary, keep the pilot on public information.
Read the data-handling details before using real records
Ask where page content is processed, whether prompts or screenshots are retained, how deletion works, and which controls apply to your actual plan. Separate the browser's privacy settings from the AI service's handling of information sent for processing.
Record answers from current official documentation. Marketing phrases such as “private” or “secure” do not tell you whether a particular customer record is appropriate to submit. When those answers are unclear, use invented sample data and keep the evaluation limited.
Measure the review work, too
For each trial, record the requested task, pages visited, output, corrections needed, and time spent checking it. Count unsupported claims and unwanted actions alongside completed steps. These are proposed measurements, not benchmark results.
In the supplier comparison, open each cited page and confirm that it supports the specific statement. Check whether regional restrictions or missing details disappeared in the summary. A source link alone does not establish accuracy.
Test an ordinary failure as well: an unavailable page or information that the supplier has not published. A useful assistant should make that uncertainty visible rather than manufacture an answer.
Expand only after the small job earns its place
Google's layered-defense explanation, published June 13, 2025, describes combining model defenses, content checks, system safeguards, and user confirmation. That is useful context for evaluating a vendor's controls; it is not a safety certification for your workflow.
Move from research to additional capabilities one at a time. Decide who can pause the pilot, revoke access, and review unexpected behavior. Keep sending messages, changing records, and making purchases outside the initial trial.
The decision to continue should rest on useful output, manageable review effort, and acceptable access boundaries. A successful public-information pilot is a reason to consider the next small step, not evidence that an assistant is ready for every logged-in account.