Complete AI Training

AI app for operations · no coding needed

Browser task automation control room

Consolidate repetitive computer and web task automation into one owned portal.

Made for: Operations teams and back-office leads who run repetitive computer and web tasks across several business systems

What Browser task automation control room looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Repetitive computer and web tasks are spread across several rented automation tools, scripts and manual steps, so work is slow, hard to monitor and dependent on individual operators.

What it gives you

Reviewed, monitored automation runs

What you give it

Authorized system accesstask listsworkflow recordingsdata handling rules

Build your own version of PowerAgentsAI, Compuser.ai and more

One app with what these 8 AI tools do, yours to keep and change: PowerAgentsAI, Compuser.ai, Nfig AI, Proxy DeepWork, Ripplica, Gabriel Operator, Argos, AI Thing.

Everything these tools do, in one app

  • Natural language commands Control automation tasks using conversational instructions instead of scripts.Found in Compuser.ai, Nfig AI, AI Thing
  • Visual UI interaction Interact with software interfaces by clicking buttons, typing text, and navigating screens.Found in Compuser.ai, Nfig AI, Ripplica and 2 more
  • Browser-based execution Run automation directly within a web browser without installing separate software.Found in Compuser.ai, Nfig AI, Ripplica and 2 more
  • Record and replay workflows Record a sequence of actions once and have the agent repeat them automatically.Found in Ripplica, Gabriel Operator
  • Parallel task execution Run multiple automation workflows simultaneously, each with isolated context.Found in PowerAgentsAI, AI Thing
  • Customizable workflows Adapt automation sequences to specific user needs and preferences.Found in PowerAgentsAI, Gabriel Operator
  • Task scheduling Schedule automation runs to execute at specific times or intervals.Found in PowerAgentsAI, Ripplica, Proxy DeepWork
  • Real-time monitoring Track agent performance and task progress as it happens.Found in PowerAgentsAI, Ripplica
  • Multi-agent collaboration Enable multiple AI agents to work together on complex assignments.Found in PowerAgentsAI
  • Authentication management Automatically detect and manage logins across various websites.Found in Nfig AI, Argos
  • CAPTCHA solving Solve CAPTCHA challenges to ensure reliable automation.Found in Nfig AI
  • Proxy support Use proxies for discreet and reliable automation.Found in Nfig AI
  • Local data processing Process data locally on the user's device to keep it private.Found in Argos, AI Thing
  • API integration Trigger and manage workflows through API endpoints for integration with other systems.Found in Ripplica, AI Thing
  • Distraction blocking Filter notifications from multiple apps to minimize distractions.Found in Proxy DeepWork
  • Task prioritization Organize and schedule work effectively based on priority.Found in Proxy DeepWork
  • Productivity analytics Track focus patterns and work habits over time.Found in Proxy DeepWork
  • Conditional logic Create loops, branches, and request user input during automation.Found in Gabriel Operator

How it works, step by step

  1. Accept natural language commands for automation tasks
  2. Interact with software interfaces by clicking, typing and navigating screens
  3. Run automation inside a web browser without separate installs
  4. Record and replay action sequences
  5. Run parallel workflows with isolated context
  6. Adapt sequences to specific user needs
  7. Schedule runs at set times or intervals
  8. Monitor agent performance and task progress in real time
  9. Coordinate multiple agents on complex assignments
  10. Detect and manage logins across websites
  11. Solve CAPTCHA challenges for reliable runs
  12. Route runs through proxies
  13. Process data locally on the user's device
  14. Trigger and manage workflows through API endpoints
  15. Filter notifications from multiple apps
  16. Prioritize and organize queued work
  17. Track focus patterns and work habits over time
  18. Apply loops, branches and user-input steps during automation

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Browser task automation control room with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Browser task automation control room with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
  • prompt-vps.mdThe same build on your own server (Docker)27 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
  • demo/index.htmlThe working demo on sample data196 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

Consolidate repetitive computer and web task automation into one owned portal. For operations teams and back-office leads who run repetitive computer and web tasks across several business systems, convert natural language commands, recorded workflows, schedules, logins, proxies and local data rules into reviewed, monitored automation runs. The benefit is a testable hypothesis, measured through completed tasks per operator hour and manual rework per run; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect authorized system access, task lists, workflow recordings and data handling rules, then follow this sequence: 1. Accept natural language commands for automation tasks. 2. Interact with software interfaces by clicking, typing and navigating screens. 3. Run automation inside a web browser without separate installs. Resolve uncertain cases with qualified reviewers, approve reviewed, monitored automation runs, and measure completed tasks per operator hour and manual rework per run against a documented baseline.

How the AI works

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 credential set; final authorization and consequential actions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve operator voice, source attribution, quotation accuracy and usage permissions. Operators approve substantive changes and publication scope. One approved browser profile and credential set; final authorization and consequential actions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved browser profile and credential set; final authorization and consequential actions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept natural language commands for automation tasks; interact with software interfaces by clicking, typing and navigating screens. Support the third module with operator review: run automation inside a web browser without separate installs. 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.

What it can connect to

Authorized business systems, browser sessions, credential stores and permitted data sources. Cloud asset storage, design-file import/export and publishing 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.

The screens in detail

Primary screens: Automation command and workflow library, Live run monitor, Review and delivery. Use a thumbnail gallery for workflows, a large central run canvas, and a right-hand panel for steps, credentials, schedules and comments. Let users compare runs side by side. Display draft, running, needs review and approved states. Provide a client preview link with comments anchored to the relevant run. Make the task-specific outcome reviewed, monitored automation runs visible beside its evidence, review state and value baseline.