Browser task automation and tab coordination portal

For

Marketing and operations teams running recurring web research, form and reporting work across many signed-in sites

Solves

Staff repeat the same browsing, tab, form and reporting steps by hand across many sites, with no shared record of what was done or approved.

Delivers

Operator-approved completed browser tasks and reports

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce manual browsing and reporting effort while keeping a reviewable record of every automated action.

1. Read, search and extract information from permitted web pages.
2. Run browsing tasks from plain-language instructions.
3. Group and organize open tabs into workspaces.
4. Run as a lightweight extension inside the existing browser.
5. Automate repetitive browsing actions from saved routines.
6. Filter out irrelevant content from captured pages.
7. Set up tasks without prompts or scripting.
8. Forecast task outcomes from collected data.
9. Pull real-time data for dynamic adjustments.
10. Tailor task parameters per site and team.
11. Produce detailed run and outcome reports.
12. Track operator time on assigned tasks.
13. Assign tasks and manage workflows.
14. Report performance insights per task and operator.
15. Sync approved records to HR and payroll systems.
16. Chat with open tabs in a conversational panel.
17. Accept voice input for task briefs.
18. Summarize page content for quick review.
19. Apply privacy controls to captured data.
20. Refine queries for the target site and objective.
21. Rewrite and improve captured copy.
22. Generate dashboards and presentations from prompts.
23. Fill forms and complete multi-step workflows.
24. Manage tabs and AI tools in a vertical side panel.
25. Trigger common commands by keyboard shortcut.
26. Offer a tabless workspace view.
27. Block unwanted advertisements during runs.
28. Provide real-time writing help in the browser.
29. Execute multi-step tasks across signed-in sites.
30. Accept task delegation from Slack, Discord or Telegram.
31. Connect the buyer's own Claude or ChatGPT subscription.
32. Ask for approval before sending, paying or posting.
33. Sync tabs and workspaces across devices.
34. Recover browsing history after a crash.

Everything these tools do, in one app

• AI web page interaction Lets the AI read, search, and extract information from web pages.Found in Browserfly, Side Space 2.0, Phew AI Tab
• Natural language task automation Automates browsing tasks from plain-language instructions.Found in Browserfly, Side Space 2.0, MyNextBrowser and 1 more
• Tab grouping and organization Groups and organizes open tabs to reduce clutter.Found in Browserfly, Side Space 2.0, Phew AI Tab
• Browser extension integration Runs as a lightweight Chrome extension inside the existing browser.Found in Browserfly, Knowly AI, MyNextBrowser and 2 more
• Repetitive task automation Automates repetitive browsing actions based on user patterns or saved routines.Found in Knowly AI, Aside
• Content filtering Filters out irrelevant content to show only desired information.Found in Knowly AI
• No-code setup Requires no complex prompts or scripting to set up tasks.Found in Knowly AI
• AI predictive analytics Forecasts outcomes using AI-driven analytics.Found in Simular
• Real-time data integration Integrates real-time data for dynamic adjustments.Found in Simular
• Customizable parameters Allows tailoring of simulations to specific needs.Found in Simular
• Comprehensive reporting Provides detailed reports for result analysis.Found in Simular, AI Employe
• Employee time tracking Automates employee attendance and time tracking.Found in AI Employe
• Task assignment Uses AI to assign tasks and manage workflows.Found in AI Employe
• Performance analytics Delivers actionable insights on performance.Found in AI Employe
• HR system integration Integrates with popular HR and payroll systems.Found in AI Employe
• Chat with tabs Enables conversational interaction with open tabs via a chat interface.Found in Dia Browser
• Voice input Allows writing and planning using voice.Found in Dia Browser
• Page summarization Summarizes web page content for quicker consumption.Found in Dia Browser, Side Space 2.0, Norton™ Neo
• Privacy controls Provides controls to manage data and privacy securely.Found in Dia Browser, Side Space 2.0, Phew AI Tab and 1 more
• Prompt enhancement Refines queries based on target platforms and objectives.Found in MyNextBrowser
• Text enhancement Rewrites, summarizes, and improves copy quickly.Found in MyNextBrowser
• Dashboard generation Automatically generates dashboards and presentations from prompts.Found in MyNextBrowser
• Form filling Automates filling forms and workflows.Found in MyNextBrowser
• Vertical side panel Uses a vertical side panel for tab management and AI tools.Found in Side Space 2.0, Phew AI Tab
• Keyboard shortcuts Triggers common commands quickly via keyboard shortcuts.Found in Side Space 2.0
• Tabless browsing Eliminates traditional tabs to reduce clutter.Found in Norton™ Neo
• Ad blocker Blocks unwanted advertisements to improve speed and reduce distractions.Found in Norton™ Neo
• AI typing assistant Offers real-time writing help within the browser.Found in Norton™ Neo
• Agentic task execution Executes multi-step tasks across signed-in websites.Found in Aside
• Messaging integration Allows delegating browser tasks from messaging apps like Slack, Discord, or Telegram.Found in Aside
• External AI subscription support Connects your own Claude or ChatGPT subscription to use those models.Found in Aside
• Permission controls Asks for approval before critical actions like sending or paying.Found in Aside
• Cloud sync Synchronizes tabs and workspaces across devices securely.Found in Phew AI Tab
• Crash recovery Safeguards browsing history during unexpected disruptions.Found in Phew AI Tab

What goes in, what comes out

The workflow

1. In
   Start with

   Plain-language instructions, saved routines, open tabs and permitted site sessions

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect plain-language instructions

4. 3

   Saved routines

5. 4

   Open tabs and permitted site sessions

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Operator-approved completed browser tasks and reports

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved browser profile and permitted site list; final sending, paying and posting remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Task brief and site permissions, Live run and side panel, Review queue and reports. Use a workspace list for projects, a large central run view with the vertical side panel for tabs and AI tools, and a right-hand panel for instructions, permissions and comments. Let users compare runs side by side. Display draft, running, changes requested and approved states. Provide a client preview link with comments anchored to the relevant task step. Make the task-specific outcome operator-approved completed browser tasks and reports visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, site permissions, saved routines, client comments, approval states, usage allowances, run limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Buyer-owned site accounts, permitted browser profiles and authorized data sources. Cloud workspace storage, HR and payroll systems, messaging apps and report destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case; first modules: read, search and extract information from permitted web pages; run browsing tasks from plain-language instructions. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will marketing and operations teams running recurring web research, form and reporting work across many signed-in sites use it to solve "staff repeat the same browsing, tab, form and reporting steps by hand across many sites, with no shared record of what was done or approved"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Completed tasks per operator hour and corrections after approval.
4. Measure, then decide. Track completed tasks per operator hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved browser profile and permitted site list; final sending, paying and posting remain human. Implement one approved input format, a bounded representative case set and the first two task modules: read, search and extract information from permitted web pages; run browsing tasks from plain-language instructions. Support the third module with operator review: group and organize open tabs into workspaces. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified site integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around operator-approved completed browser tasks and reports. Retain the explicit scope boundary: One approved browser profile and permitted site list; final sending, paying and posting remain human.

What the build depends on. Site session access, asynchronous automation jobs, editable run history, reviewer access and tested export formats. High-fidelity automation requires specialist operational QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved browser profile and permitted site list; final sending, paying and posting remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined task package. Offer a monthly run allowance after repeat demand. Quote complex multi-site or high-volume automation separately. These are test prices, not market benchmarks. Package the initial sale as one bounded operator-approved completed browser tasks and reports. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce manual browsing and reporting effort while keeping a reviewable record of every automated action. Demonstrate a concrete operator-approved completed browser tasks and reports using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Marketing and operations teams running recurring web research, form and reporting work across many signed-in sites professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample operator-approved completed browser tasks and reports from a small authorized input set, with a transparent calculation of completed tasks per operator hour and corrections after approval and no promised savings.

The first 30 days

1. Week 1: interview five marketing and operations teams running recurring web research, form and reporting work across many signed-in sites and inspect a recent example of staff repeat the same browsing, tab, form and reporting steps by hand across many sites, with no shared record of what was done or approved.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure completed tasks per operator hour and corrections after approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Completed tasks per operator hour and corrections after approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Completed tasks per operator hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs operator-approved completed browser tasks and reports. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved site routines, permission profiles and review examples, together with reliable delivery for a narrow operational niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing and operations teams running recurring web research, form and reporting work across many signed-in sites. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Browserfly, Knowly AI, Simular, AI Employe, Dia Browser, MyNextBrowser, Side Space 2.0, Norton™ Neo, Aside and Phew AI Tab. Compare this product with the buyer's present method on completed tasks per operator hour and corrections after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, browser automation runs, storage, reviewer hours, client revision rounds and licensed site access. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of operator-approved completed browser tasks and reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve site terms, source attribution, data accuracy and usage permissions. Operators approve substantive changes and external actions. One approved browser profile and permitted site list; final sending, paying and posting remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.