One goal. Let AI do the browser work.






Start in your own AI agent or in the built-in Chat.
The goal becomes a checked, step-by-step plan.
Reuses signed-in sessions. You confirm sensitive steps.
Sends data sheets, CSV and files back to your agent.




Give any AI agent a real browser, signed in and ready.
Cursor, Claude Code, Codex and more connect through the Skill setup guide.
Understands the goal and checks every step.
Reuses your DsphereAI sign-ins and asks before sensitive steps.
Extract fields into data sheets.
Run on a schedule. Handle tasks in parallel.
Live progress with a page frame for each step. Pause or stop anytime.
Describe the goal once. AI works out and verifies the steps, then the DsphereAI browser reruns them on a schedule or in parallel without asking the AI what to do next. It steps in only to repair a step that fails.
Repeat runs go straight through the verified steps, with no waiting on a model.
Tokens go into planning and repairs, not every repeat. Each step shows its token cost.
Runs go in parallel in isolated tab groups, with no robots or VMs.
Reuses the sessions you signed in to within DsphereAI.
The comparison describes how each approach typically works.
Update price and stock for the 120 products in this sheet.
✓120 products updatedUpdate products and collect order data automatically.
View use case →Collect this week's posts from these 5 accounts and sum up the main topics.
✓5 sources · summary readyCollect authorized content. Let AI summarize and classify.
View use case →Fill in the sign-up form for each row of contacts.xlsx and check every submission.
✓Each row submitted and checkedHand it to an agent. Fill and check in bulk.
View use case →Check this pricing page every morning and tell me if anything changes.
✓Daily check · notify on changeCheck on a schedule. Log changes and get notified.
View use case →Export today's order report from each of my 3 store accounts.
✓3 accounts · separate sessionsSeparate sessions per account. Review all tasks in one place.
View use case →Let Claude Code open my signed-in dashboard and pull today's numbers.
✓Via MCP · signed-in sessionConnect browser capabilities to your AI tools.
View use case →Separate sessions. Fewer cross-account errors.
Use your own agent or the built-in Chat.
See status, steps and results.
Manage credentials and data policies.
Bring browser actions, data collection and multi-account tasks into one workspace with DsphereAI.
Individuals and teams who handle repetitive web tasks, data collection or multiple accounts.
No. Describe the goal in the built-in Chat, or ask Cursor, Claude Code or Codex to do it. How to start →
Any AI agent can drive it, with account isolation, signed-in sessions, scheduled runs and data collection.
Download and create an account. See pricing for plan details and model fees. Compare plans →