AI app for operations · no coding needed
Plain-language desktop and web task automation workspace
Reduce manual task time while keeping screenshots and credentials on the user's machine.
Made for: Operations and IT teams automating repetitive computer tasks across apps and websites
What it does for you
The problem
Repetitive computer tasks span browsers, desktop apps and mobile screens, and current automation requires scripts, APIs or several rented tools.
What it gives you
Reviewed, logged automation runs
What you give it
Plain-English instructionsscreen statecredentialsapp targets
Build your own version of Caesr AI, OpenOwl and more
One app with what these 10 AI tools do, yours to keep and change: Caesr AI, OpenOwl, Pig, Airtop Agents, Stracti, AgentOne Desktop, Director, Bytebot, Notte, Thunderbit.
Everything these tools do, in one app
- Plain-English task automation Lets users describe tasks in everyday language instead of writing code or configuring scripts.Found in Caesr AI, OpenOwl, Airtop Agents and 2 more
- UI-level interaction Controls apps and websites by clicking, typing, and moving the cursor directly on the screen.Found in Caesr AI, OpenOwl, Stracti and 1 more
- Cross-platform control Works across web browsers, desktop applications, and mobile devices.Found in Caesr AI, Stracti
- Visual element recognition Detects buttons, fields, and other UI elements by looking at the screen rather than relying on APIs.Found in Caesr AI, Stracti
- Local execution Runs on the user's own machine so screenshots and data stay private.Found in OpenOwl, Stracti
- Authenticated web automation Logs into websites and performs tasks on pages that require authentication.Found in Airtop Agents
- Step verification and error handling Checks results after actions and flags problems instead of continuing blindly.Found in OpenOwl, Stracti
- Conditional logic and retries Supports if-then rules and automatic retries to make automations more reliable.Found in Stracti
- Action history Shows a full log of what actions ran and why, helping with debugging.Found in Stracti
- AI assistant integration Connects with AI models like Claude, Codex, or other MCP-compatible agents to provide eyes and hands.Found in OpenOwl
- App and tool integrations Connects to popular third-party apps and services to extend automation.Found in Airtop Agents, AgentOne Desktop, Bytebot and 3 more
- Data extraction and processing Extracts structured data from screens and cleans or transforms it for use.Found in Airtop Agents, Pig, Thunderbit
- Data visualization Creates interactive charts and dashboards to explore datasets quickly.Found in Pig, Thunderbit
- Collaboration tools Lets teams share insights, comment, and manage projects together.Found in Pig, Director, Thunderbit
- Customizable workflows Allows users to adapt automation steps to different projects and needs.Found in Pig, Bytebot, Director
- Cloud scaling and security Runs automations in the cloud with enterprise-grade security and scheduling options.Found in Airtop Agents
- Secure credential management Stores and manages login credentials, MFA tokens, SSO, and cookies securely.Found in Notte
- Hybrid scripting and AI Combines traditional automation scripts with AI-driven steps for flexibility and reliability.Found in Notte
How it works, step by step
- Accept plain-English task instructions
- Control apps and websites by clicking, typing and moving the cursor
- Run across browsers, desktop applications and mobile devices
- Detect buttons, fields and UI elements from the screen
- Execute locally so screenshots and data stay private
- Log into authenticated websites and perform tasks
- Verify each step and flag errors instead of continuing
- Apply if-then rules and automatic retries
- Show a full action history with reasons
- Connect to AI models and MCP-compatible agents
- Integrate with third-party apps and services
- Extract and clean structured data from screens
- Build interactive charts and dashboards
- Share runs, comments and project state with teams
- Adapt workflow steps to different projects
- Run scheduled automations in the cloud with security controls
- Store credentials, MFA tokens, SSO and cookies securely
- Combine traditional scripts with AI-driven steps
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 Plain-language desktop and web task automation workspace 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.
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 Plain-language desktop and web task automation workspace with you.
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 Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data200 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
Reduce manual task time while keeping screenshots and credentials on the user's machine. For operations and IT teams automating repetitive computer tasks across apps and websites, convert plain-English instructions, screen state, credentials and app targets into reviewed, logged automation runs. The benefit is a testable hypothesis, measured through completed task runs per operator hour and manual rework after automation; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect plain-English instructions, screen state, credentials and app targets, then follow this sequence: 1. Accept plain-English task instructions. 2. Control apps and websites by clicking, typing and moving the cursor. 3. Run across browsers, desktop applications and mobile devices. Resolve uncertain cases with qualified reviewers, approve reviewed, logged automation runs, and measure completed task runs per operator hour and manual rework after automation 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 fixed operating system and browser set; final task approval and credential use remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. One fixed operating system and browser set; final task approval and credential use 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 fixed operating system and browser set; final task approval and credential use remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept plain-English task instructions; control apps and websites by clicking, typing and moving the cursor. Support the third module with operator review: run across browsers, desktop applications and mobile devices. 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
Author-owned manuscripts, authorized interviews and permitted research 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: Task brief and targets, Editable run preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome reviewed, logged automation runs visible beside its evidence, review state and value baseline.
