AI app for writers · no coding needed
System-wide local writing autocomplete assistant
Reduce typing effort while keeping draft text on the device.
Made for: Writers, support agents and administrators who type in many applications all day
What it does for you
The problem
Typing is slowed by switching between apps and by per-app writing tools that do not cover every text field.
What it gives you
Accepted inline completions in any text field
What you give it
Local keystroke contextlearned phrasingper-app rules
Build your own version of Cotypist, Caret and more
One app with what these 3 AI tools do, yours to keep and change: Cotypist, Caret, Typeahead.
Everything these tools do, in one app
- Inline autocomplete suggestions Shows word or sentence suggestions as you type that you can accept or ignore.Found in Cotypist, Caret, Typeahead
- System-wide text field coverage Works in any text field across the operating system without switching apps.Found in Cotypist, Caret, Typeahead
- Tab-to-accept interaction Lets you commit a suggestion with a single keystroke, typically Tab.Found in Caret, Typeahead
- Local processing Keeps your writing on your device by processing data locally.Found in Cotypist, Caret, Typeahead
- Adapts to writing style Learns your phrasing over time to make suggestions more relevant.Found in Cotypist, Caret
- No per-app plugins Requires no separate integrations or plugins for each application.Found in Cotypist, Caret, Typeahead
- Pause or exclude sensitive inputs Allows you to pause suggestions or exclude specific fields for privacy.Found in Caret, Typeahead
- Per-app controls Lets you disable or customize suggestions for specific applications.Found in Typeahead
- Multiple model sizes Offers different local model options to balance speed and capability.Found in Typeahead
- OS-level context awareness Draws on what you have been working on across apps to inform suggestions.Found in Caret
- Local memory storage Stores learned connections on your device for personalized suggestions.Found in Caret
- Single accessibility permission setup Requires only one permission and runs unobtrusively in the background.Found in Caret
- Optional feedback sharing Allows you to optionally share feedback to improve the tool.Found in Caret
- Offline operation Works without an internet connection using local models.Found in Typeahead
- Low latency performance Provides fast suggestions with modest memory usage.Found in Typeahead
- Suggestion length presets Lets you set the length of suggestions to match your preference.Found in Typeahead
- Inclusive design for diverse needs Supports users with different needs such as non-native speakers or motor impairments.Found in Cotypist
How it works, step by step
- Show inline word or sentence suggestions while typing
- Accept or ignore a suggestion with one keystroke
- Cover any text field across the operating system
- Process text locally on the device
- Learn the user's phrasing over time
- Run without per-app plugins
- Pause suggestions or exclude sensitive fields
- Set per-app enable and customization rules
- Offer several local model sizes
- Use operating-system context from recent work
- Store learned connections in local memory
- Set up with a single accessibility permission
- Share optional feedback
- Work offline with local models
- Keep latency low with modest memory use
- Set suggestion length presets
- Support diverse needs such as non-native speakers or motor impairments
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned accepted inline completions in any text field 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 System-wide local writing autocomplete assistant 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 System-wide local writing autocomplete assistant 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 links3 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data194 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 typing effort while keeping draft text on the device. For writers, support agents and administrators who type in many applications all day, convert local keystroke context, learned phrasing and per-app rules into accepted inline completions in any text field. The benefit is a testable hypothesis, measured through accepted suggestions per typed hour and keystrokes saved per accepted suggestion; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect local keystroke context, learned phrasing and per-app rules, then follow this sequence: 1. Show inline word or sentence suggestions while typing. 2. Accept or ignore a suggestion with one keystroke. 3. Cover any text field across the operating system. Resolve uncertain cases with qualified reviewers, approve accepted inline completions in any text field, and measure accepted suggestions per typed hour and keystrokes saved per accepted suggestion 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 operating system and one local model family; final text and meaning checks remain with the writer. 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 operating system and one local model family; final text and meaning checks remain with the writer. 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 operating system and one local model family; final text and meaning checks remain with the writer. Implement one approved input format, a bounded representative case set and the first two task modules: show inline word or sentence suggestions while typing; accept or ignore a suggestion with one keystroke. Support the third module with operator review: cover any text field across the operating system. 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: Assistant settings and permissions, Editable suggestion preview, Admin console and audit. Use a status panel for the background assistant, a large central preview of suggestions in context, and a right-hand panel for per-app rules, excluded fields and model choice. Let users compare suggestion lengths side by side. Display active, paused and excluded states. Provide a client preview link with comments anchored to the relevant suggestion. Make the task-specific outcome accepted inline completions in any text field visible beside its evidence, review state and value baseline.
