‘I can see it in my account. Why can't my agent use it?’
You have spent time finding the right people, choosing products, saving useful posts, and working through customer accounts. The information is there, but it is scattered across websites you are signed into.
When an agent cannot reach those pages, you have to gather the material yourself. Copy a profile. Find an old purchase. Open the saved post. Explain what each item means. The agent may help with the final answer, but you still do much of the browsing.
Using your logged-in browser with AI closes that access gap. Browser f6n gives your agent a connection to your existing Chrome session. It can read and work through the pages available there, then help turn those details into a brief, comparison, or next-step list.
Prepare for a customer conversation with the context you already have
For someone working with customers or prospects, a generic company summary is only a starting point. The useful questions are more specific: Who am I speaking with? What does their role involve? What has happened with this account? What should I ask next?
Relevant profiles and company pages on LinkedIn may contribute to that picture. Your own customer portal or account dashboard can add the working relationship: a recent request, an open issue, or a commitment to follow up.
A focused brief brings those pieces together. Give your agent the account you are preparing for and ask it to find the relevant profile and account records:
“Prepare a brief for [customer or prospect] using my LinkedIn account and related customer records. Find their current role and company context, review account issues and previous commitments, suggest three questions, and link each fact. Flag anything to verify. Leave records unchanged.”
An illustrative result might say:
Before the call
The profile identifies your contact as the operations lead. The account page shows an unresolved onboarding question and a request for an updated rollout plan.
Ask who owns the rollout, what is blocking the next step, and when the revised plan is needed. Confirm the open issue's status before promising a resolution.
Sources: profile · company page · account record
You get a brief grounded in the records relevant to this conversation, rather than another broad research report.
For teams with frequent customer calls, collecting that context is real work that otherwise gets repeated before each meeting.
Find the answer in your Amazon purchases
Sometimes shopping starts with something you already bought. You want the same replacement filter, need to check which cable worked, or want to compare a new option with the model in a previous order.
Public product research cannot tell the agent what you bought. Your Amazon order history can supply the missing detail.
Try a focused request:
“Find the most recent filter I bought in my Amazon orders, compare its model with this option, and flag what to verify before reordering.”
That can turn an old order into a useful starting point for a purchase decision. The same idea applies when you want the return information actually shown for an order, rather than a general description of a retailer's returns policy.
Give your agent the product and decision you have in mind, then let it find the relevant purchase record and compare it with the option you are considering.
Make something useful from the posts you saved on X
Saved posts often hold ideas you meant to return to: a market observation, a useful explanation, a product suggestion, or a thread relevant to a project. Finding and organizing those ideas is a task of its own.
X bookmarks are private to your account, so a public search does not supply your personal saved collection.
Give your agent a topic and ask it to find a manageable set of recent bookmarks:
“Review my recent bookmarks relevant to [topic]. Group useful ideas, include links to the original posts, and suggest three questions worth investigating next. Separate the authors' claims from your own suggestions.”
The output could be a reading shortlist, a project research note, or a set of questions to explore. Your agent is helping with material you chose to save, instead of producing an unrelated list from the public web.
The same gap exists in customer and supplier portals
Business websites often contain the details that determine what happens next: an open support case, a supplier's quote, a project update, or the status of a customer's request.
An agent can help organize the work behind those pages. Ask it to review the records relevant to one account, explain what is waiting on whom, and draft a follow-up for you to review. Include source links so the answer stays connected to the actual records.
Use the Chrome where those pages are already available
Browser f6n works through the Chrome profile you connect. You keep the browser on your computer, and the agent uses the website sessions available there. You can follow the work in the same tabs without sending it your website passwords to recreate those logins elsewhere.
A separate browser used by an agent can also be signed into websites and keep its own sessions. It does not automatically inherit your regular Chrome's logins or open tabs. The benefit here is starting from the accounts and pages you already use.
Add Browser f6n from the Chrome Web Store, sign into the extension, and wait for Connected. Share the popup's setup prompt with your agent:
“Read https://browser.f6n.run/connect.md and help me connect to my local browser.”
The agent handles the connection steps and guides you through approval. Use the same Browser f6n account you signed into in the extension. Then give it one specific task using the pages relevant to your goal.
Reviewed October 1, 2026.
Give your agent the pages behind your next request
Choose one piece of work inside your accounts: preparing a customer brief, comparing a past purchase, organizing saved ideas, or reviewing a portal update. Connect Chrome and ask for an answer grounded in those pages. Already installed? Copy the setup prompt from the extension to your agent.