AI app for it and development · no coding needed
Private on-device AI assistant console
Keep everyday AI chat, drafting and document questions on the device while retaining source-linked review and administrator control.
Made for: Teams and individuals who need a private, on-device AI chat assistant for everyday questions, drafting and document interaction
What it does for you
The problem
Cloud AI assistants send conversations and documents to external servers, require accounts and internet access, and cannot be inspected or self-hosted.
What it gives you
Reviewed assistant answers and exports
What you give it
Local modelspermitted documentsadministrator policies
Build your own version of fullmoon, AnonAI and more
One app with what these 10 AI tools do, yours to keep and change: fullmoon, AnonAI, Colloqio, RecurseChat, xPrivo, Secret Llama, Ollama Desktop App, Tinfoil, Personal GPT, Apollo AI.
Everything these tools do, in one app
- Local on-device processing Runs AI models directly on your device so conversations and data stay private and never go to external servers.Found in AnonAI, Colloqio, RecurseChat and 4 more
- Offline functionality Works without an internet connection after initial setup or model download, useful in remote locations or during travel.Found in Colloqio, RecurseChat, Secret Llama and 2 more
- No account required Lets you use the assistant without creating an account or logging in, reducing tracking and friction.Found in AnonAI, xPrivo
- Open-source models Uses publicly available AI models such as Llama, Mistral, or DeepSeek for transparency and community improvement.Found in AnonAI, xPrivo, Ollama Desktop App and 1 more
- Document chat Allows you to drag and drop PDFs or markdown files and ask questions about their content locally.Found in RecurseChat
- Multimodal input Supports interacting with text, images, and files within the same chat interface.Found in Ollama Desktop App, AnonAI
- Conversation memory Stores selected conversational memories so the assistant can reference past points in later interactions.Found in Colloqio
- Chat history import Lets you import and search through previous ChatGPT conversation histories to continue them offline.Found in RecurseChat
- Full-text search Provides instant search across all messages to quickly retrieve relevant information.Found in RecurseChat
- Voice input Includes microphone support so you can speak your queries instead of typing.Found in Colloqio
- Model selection Allows choosing from a pool of AI models or linking custom model files to best fit the task.Found in xPrivo, RecurseChat, Ollama Desktop App
- Cross-platform availability Offers apps for multiple operating systems such as iOS, Android, macOS, and Windows.Found in AnonAI, Ollama Desktop App, Personal GPT
- Encrypted inference Processes conversations inside hardware-protected enclaves with end-to-end encryption so operators cannot read session data.Found in Tinfoil
- Attestation and transparency Enables clients to verify the exact code and configuration running in the protected environment against a transparency log.Found in Tinfoil
- Inference API Provides an API for integrating private AI inference into applications, with SDKs for common languages.Found in Tinfoil
- Self-hosting Allows running the software on your own infrastructure for complete local control and customization.Found in xPrivo
- Apple ecosystem integration Works across iOS and macOS and supports Siri, Apple Shortcuts, and x-callback-url for automation.Found in Personal GPT
- Automated task management Automates task assignment, deadline reminders, and progress tracking to keep projects on schedule.Found in fullmoon
- Data analysis and reporting Provides automated data analysis, real-time reporting, and visualization tools for insights.Found in Apollo AI, fullmoon
How it works, step by step
- Run AI models locally on the device
- Work offline after initial setup or model download
- Use the assistant without an account or login
- Load open-source models such as Llama, Mistral or DeepSeek
- Drag and drop PDFs or markdown files and ask questions about their content locally
- Accept text, images and files in the same chat interface
- Store selected conversational memories for later reference
- Import and search previous ChatGPT conversation histories offline
- Provide instant full-text search across all messages
- Accept voice input through the microphone
- Select from a pool of models or link custom model files
- Run on iOS, Android, macOS and Windows
- Process conversations inside hardware-protected enclaves with end-to-end encryption
- Verify the exact code and configuration against a transparency log
- Expose an inference API with SDKs for common languages
- Self-host on your own infrastructure
- Integrate with iOS and macOS, Siri, Apple Shortcuts and x-callback-url
- Automate task assignment, deadline reminders and progress tracking
- Provide automated data analysis, real-time reporting and visualization
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed assistant answers and exports 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 Private on-device AI assistant 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.
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 Private on-device AI assistant console 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 links5 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 data195 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
Keep everyday AI chat, drafting and document questions on the device while retaining source-linked review and administrator control. For teams and individuals who need a private, on-device AI chat assistant, convert local models, permitted documents and administrator policies into reviewed assistant answers and exports. The benefit is a testable hypothesis, measured through accepted answers per reviewer hour and material error rate; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect local models, permitted documents and administrator policies, then follow this sequence: 1. Run AI models locally on the device. 2. Work offline after initial setup or model download. 3. Use the assistant without an account or login. 4. Load open-source models. 5. Drag and drop PDFs or markdown files and ask questions about their content locally. 6. Accept text, images and files in the same chat interface. 7. Store selected conversational memories. 8. Import and search previous ChatGPT conversation histories offline. 9. Provide instant full-text search across all messages. 10. Accept voice input. 11. Select from a pool of models or link custom model files. 12. Run on iOS, Android, macOS and Windows. 13. Process conversations inside hardware-protected enclaves with end-to-end encryption. 14. Verify the exact code and configuration against a transparency log. 15. Expose an inference API with SDKs. 16. Self-host on your own infrastructure. 17. Integrate with iOS and macOS, Siri, Apple Shortcuts and x-callback-url. 18. Automate task assignment, deadline reminders and progress tracking. 19. Provide automated data analysis, real-time reporting and visualization. Resolve uncertain cases with qualified reviewers, approve reviewed assistant answers and exports, and measure accepted answers per reviewer hour and material error rate 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. Final judgment and consequential actions remain with the named human owner. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve user voice, source attribution, quotation accuracy and usage permissions. Named owners approve substantive changes and publication scope. One device platform and one approved open-source model; final judgment and consequential actions remain with the named human owner. 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 device platform and one approved open-source model; final judgment and consequential actions remain with the named human owner. Implement one approved input format, a bounded representative case set and the first two task modules: run AI models locally on the device; work offline after initial setup or model download. Support the third module with operator review: use the assistant without an account or login. 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 documents, permitted research sources and administrator policies. 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: Assistant console, Source and evidence panel, Administrator console. Use a conversation list, a central chat and document canvas, and a right-hand panel for sources, model, memory and review state. Let users compare model answers side by side. Display draft, changes requested and approved states. Provide an administrator view for models, policies, access and audit. Make the task-specific outcome reviewed assistant answers and exports visible beside its evidence, review state and value baseline.
