AI browser collaboration

Let the browser environment change from "manual window" to "schedulable workstation"

Web4 Browser strings together AI Agents, Skills, agent configurations, fingerprint environments, and headless tasks. Teams can use natural language to describe goals, allowing the system to disassemble actions, perform inspections, record exceptions, and precipitate them into reusable SOPs.

Web4 AI agent console
natural language tasks

"Open this set of store accounts and check the login status, agent area, verification code and abnormal prompts."

executive summary

12 Profiles have been inspected, 2 need to be reviewed, and the agent and execution logs have been synchronized to the team.

Calling Profiles, Proxies and Cookies
Break down Prompt into steps
Perform page inspection and status judgment
Output logs, exceptions and review suggestions
natural language executionUse task descriptions to directly drive browser actions, no longer relying solely on fragile scripts.
Skills reuseEncapsulate mature SOPs into browser skills that can be called and audited by the team.
Agent + Headless ExecutionBatch inspections, scheduled tasks and background processes can run continuously.
less scriptingUse task intent to describe goals and let AI generate more stable execution steps.
Identify anomalies earlierCreate proactive alerts around verification codes, login status, and agent exceptions.
The team can reviewKeep each execution, failure and processing result in the same task link.
Repeated tasks run in the backgroundHandle batch inspections, status checks, and page monitoring to headless tasks.
Execution path

From a single command to a set of reusable browser processes

AI collaboration is not a single function, but puts "understanding tasks, scheduling environments, executing actions, and accumulating experience" into the same workflow.

01

Describe mission objectives

Use natural language to describe the account group, platform, region, and check actions to be completed.

02

Match the operating environment

Automatically associate profiles, proxies, cookies, groups and local data directories.

03

Execute and determine status

Open the page, inspect the elements, identify exception prompts, and write the results to the task log.

04

Reuse as a team skill

Precipitate mature processes into reusable templates to reduce the cost of newcomers and cross-team collaboration.

Task execution dashboardreal-time workflow
Store status inspectionChecking Amazon / Shopee / TikTok Shop account login status, agent region and abnormal page.
Creative processMaterial review, landing page opening, pixel page detection and account environment recording have been queued.
ProfileAgency areastate
Store-US-018US / Dallaspass
Ads-DE-042DE / BerlinReview
Social-JP-011JP / Tokyopass
core competencies

AI collaboration truly falls into operational actions

Organize the fingerprint environment, agents, automation and team knowledge into a more reliable execution system around the high-frequency work of multi-account operations.

Task orchestration

Break complex tasks into executable steps instead of making the team second-guess the process

AI can break down inspection, login, recording and exception handling into clear steps based on account group, platform, agent region and page status, reducing omissions in manual handovers.

behavioral aids

Bring automation closer to real operating rhythm

Provide execution suggestions around stay, scroll, input and page status judgment to reduce the rigid trajectory caused by fixed scripts.

Team knowledge

Precipitate experience into reusable skills

Mature SOPs, environment templates, troubleshooting methods and common exceptions can be turned into team capabilities, making it easier for multiple people to collaborate and new people to get started.

Applicable teams

These scenarios can best feel the value of AI collaboration

When the number of accounts, pages and repetitive processes increase, AI collaboration can help the team improve stability and execution efficiency at the same time.

Cross-border e-commerce team

Inspect stores, inventory, customer service messages and exception prompts in batches to make multi-store operations clearer.

Advertising team

Unified inspection of advertising accounts, material pages, agency environments and pre-launch status to reduce repeated configurations.

Automation and QA teams

Handle page monitoring, process regression, and data collection to auditable browser workflows.

Get ready to set up your browser environment
Start with a Profile and gradually expand to a complete workflow.

Download it first to experience it, and then decide whether to upgrade to a more complete solution based on your business scale.