Complete AI Training

AI app for it and development · no coding needed

Source-linked desktop AI assistant and task console

Reduce tool switching and unreviewed automation while keeping one owned assistant.

Made for: IT teams and operations staff who run everyday computer tasks and want one owned assistant instead of several rented AI desktop tools

What Source-linked desktop AI assistant and task console looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Staff switch between several AI desktop subscriptions, repeat context, and cannot trace which model output or command produced a change on a work machine.

What it gives you

Source-linked assistant output and administrator-approved task runs

What you give it

Approved model endpointsuser promptsapplication contexttask permissions

Build your own version of Witsy, Assista AI and more

One app with what these 3 AI tools do, yours to keep and change: Witsy, Assista AI, Claude Computer use.

Everything these tools do, in one app

  • Chat with AI models Lets you have conversational interactions with AI language models.Found in Witsy
  • Natural language commands Allows you to control the tool and execute tasks using plain language.Found in Assista AI, Claude Computer use
  • Searchable conversation history Stores past conversations so you can search and refer back to them.Found in Witsy
  • Scratchpad for content Provides an interactive space to build and refine content with AI guidance.Found in Witsy
  • Quick action bar Offers a toolbar of quick actions to modify content in the scratchpad.Found in Witsy
  • Keyboard shortcut commands Triggers predefined AI actions via keyboard shortcuts to analyze and modify text from any application.Found in Witsy
  • Prompt Anywhere Activates an AI model from any application and inserts generated content directly into your work.Found in Witsy
  • Specialized task experts Provides specialized prompts for tasks like financial advisory and creative writing.Found in Witsy
  • Custom expert prompts Lets you create your own expert prompts for tailored assistance.Found in Witsy
  • Voice interaction Enables hands-free communication with the AI in chat and scratchpad modes.Found in Witsy
  • Task scheduling and reminders Automates scheduling and reminders to help keep you organized.Found in Assista AI
  • Productivity app integration Connects with popular productivity apps to centralize workflow management.Found in Assista AI
  • Customizable templates Provides templates that can be adapted to different project needs and user preferences.Found in Assista AI
  • Real-time collaboration Offers tools for team communication and shared task tracking.Found in Assista AI
  • Automated computer task execution Automates computer tasks such as searching and filling out forms through conversational prompts.Found in Claude Computer use
  • Workflow integration Integrates with existing workflows to streamline operations.Found in Claude Computer use
  • Complex command execution Supports executing complex commands with minimal user input.Found in Claude Computer use
  • Hands-free operation Enables hands-free operation of common computer tasks.Found in Claude Computer use

How it works, step by step

  1. Chat with approved AI models
  2. Accept natural language commands
  3. Search stored conversation history
  4. Provide a scratchpad for content building
  5. Offer a quick action bar for scratchpad edits
  6. Trigger predefined actions by keyboard shortcut
  7. Insert generated content into the active application
  8. Apply specialized task expert prompts
  9. Let users define custom expert prompts
  10. Support voice interaction in chat and scratchpad
  11. Schedule tasks and reminders
  12. Connect approved productivity apps
  13. Provide customizable templates
  14. Support shared task tracking and team comments
  15. Execute approved computer tasks such as search and form filling
  16. Integrate with existing workflows
  17. Run complex commands with minimal input
  18. Support hands-free operation of common tasks
  19. Compare the reviewed result with the recorded baseline and value assumptions
  20. Capture corrections and named-owner approval before consequential use
  21. Export a versioned source-linked assistant output and administrator-approved task runs with source references and unresolved questions

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 Source-linked desktop AI assistant and task console 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 Source-linked desktop AI assistant and task console 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 Cloudflare26 KB
  • prompt-vps.mdThe same build on your own server (Docker)26 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria12 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

Reduce tool switching and unreviewed automation while keeping one owned assistant. For IT teams and operations staff who run everyday computer tasks, convert approved model endpoints, user prompts, application context and task permissions into source-linked assistant output and administrator-approved task runs. The benefit is a testable hypothesis, measured through accepted task runs per operator hour and corrections after execution; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect approved model endpoints, user prompts, application context and task permissions, then follow this sequence: 1. Chat with approved AI models. 2. Accept natural language commands. 3. Search stored conversation history. 4. Provide a scratchpad for content building. 5. Offer a quick action bar for scratchpad edits. 6. Trigger predefined actions by keyboard shortcut. 7. Insert generated content into the active application. 8. Apply specialized task expert prompts. 9. Let users define custom expert prompts. 10. Support voice interaction in chat and scratchpad. 11. Schedule tasks and reminders. 12. Connect approved productivity apps. 13. Provide customizable templates. 14. Support shared task tracking and team comments. 15. Execute approved computer tasks such as search and form filling. 16. Integrate with existing workflows. 17. Run complex commands with minimal input. 18. Support hands-free operation of common tasks. Resolve uncertain cases with qualified reviewers, approve source-linked assistant output and administrator-approved task runs, and measure accepted task runs per operator hour and corrections after execution against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the 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 model endpoint set and one desktop operating system; final task execution and permission checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve user intent, source attribution, command accuracy and usage permissions. Administrators approve substantive changes and execution scope. One approved model endpoint set and one desktop operating system; final task execution and permission checks 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 model endpoint set and one desktop operating system; final task execution and permission checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: chat with approved AI models; accept natural language commands. Support the remaining modules with operator review: search stored conversation history; provide a scratchpad for content building; offer a quick action bar for scratchpad edits; trigger predefined actions by keyboard shortcut; insert generated content into the active application; apply specialized task expert prompts; let users define custom expert prompts; support voice interaction in chat and scratchpad; schedule tasks and reminders; connect approved productivity apps; provide customizable templates; support shared task tracking and team comments; execute approved computer tasks such as search and form filling; integrate with existing workflows; run complex commands with minimal input; support hands-free operation of common tasks. 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

Approved model endpoints, user-owned productivity accounts and permitted internal systems. Cloud storage, desktop application hooks and workflow destinations. Start with file exchange and validate destination specifications before promising direct execution. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Assistant console, Task run review, Administrator console. Use a left rail for conversations and task runs, a large central chat and scratchpad canvas, and a right-hand panel for sources, permissions and comments. Let users compare draft and executed versions side by side. Display draft, changes requested, approved and blocked states. Provide a shared team view with comments anchored to the relevant message or task step. Make the task-specific outcome source-linked assistant output and administrator-approved task runs visible beside its evidence, review state and value baseline.