Complete AI Training

AI app for education · no coding needed

Multilingual practice and translation workbench

Reduce tool switching and lost practice history while keeping one reviewed record of learner progress.

Made for: Language schools, corporate learning teams and independent tutors running practice programmes

What Multilingual practice and translation workbench looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Learners and staff juggle separate translation, correction, pronunciation and practice subscriptions, so progress evidence and vocabulary stay scattered across tools.

What it gives you

Tutor-approved practice and translation records linked to learner progress

What you give it

Licensed lesson materiallearner writingrecorded speechtutor constraints

Build your own version of LanguagePro, OpenL and more

One app with what these 5 AI tools do, yours to keep and change: LanguagePro, OpenL, Polyglotta, LangGPT, Engram Translator.

Everything these tools do, in one app

  • Text translation Translates written text from one language to another.Found in LanguagePro, OpenL, Polyglotta and 2 more
  • Real-time translation Provides immediate translation as you type or speak.Found in LanguagePro, LangGPT, Engram Translator
  • Wide language support Supports translation across many languages.Found in OpenL, Polyglotta, LangGPT and 1 more
  • Automatic language detection Automatically identifies the language of the input text.Found in OpenL, Polyglotta, LangGPT
  • Context-aware translation Preserves meaning and tone based on context.Found in OpenL, Polyglotta, LangGPT and 1 more
  • Grammar correction Identifies and corrects grammatical errors in writing.Found in LanguagePro, OpenL
  • Conversational practice Engage in interactive chat to practice speaking and listening.Found in LanguagePro, Polyglotta
  • Audio pronunciation Provides high-quality audio pronunciation of words or phrases.Found in Polyglotta
  • Side-by-side translation Shows multiple translations at once for comparison.Found in Polyglotta
  • Multi-format translation Translates documents, images, audio files, and websites.Found in OpenL
  • Voice input Allows translation via spoken input.Found in OpenL, Engram Translator
  • Offline mode Enables translation without an internet connection.Found in Engram Translator
  • Chat history Saves past conversations for easy reference.Found in Polyglotta, LangGPT
  • Prompt library Provides a collection of prompts to streamline interactions.Found in LangGPT
  • Keyword extraction Pulls out key concepts from text.Found in LanguagePro
  • Text summarization Summarizes lengthy texts for better comprehension.Found in LanguagePro
  • Interactive Q&A Allows users to ask questions and get answers about language concepts.Found in LanguagePro
  • Community features Includes social elements like voting, achievements, and public profiles.Found in Polyglotta

How it works, step by step

  1. Translate written text between supported languages
  2. Provide immediate translation as the learner types or speaks
  3. Support translation across many languages
  4. Detect the input language automatically
  5. Preserve meaning and tone from context
  6. Correct grammar and flag recurring errors
  7. Run interactive chat for speaking and listening practice
  8. Play audio pronunciation of words and phrases
  9. Show side-by-side translations for comparison
  10. Translate documents, images, audio files and web pages
  11. Accept spoken input for translation and practice
  12. Cache approved material for offline practice
  13. Keep searchable chat and practice history
  14. Offer a prompt library for tutors and learners
  15. Extract key vocabulary and concepts from text
  16. Summarize long texts for comprehension work
  17. Answer learner questions about language concepts
  18. Support class voting, achievements and public profiles
  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 tutor-approved practice and translation record 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 Multilingual practice and translation workbench 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 Multilingual practice and translation workbench 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 Cloudflare24 KB
  • prompt-vps.mdThe same build on your own server (Docker)24 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
  • demo/index.htmlThe working demo on sample data201 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 lost practice history while keeping one reviewed record of learner progress. For language schools, corporate learning teams and independent tutors running practice programmes, convert licensed lesson material, learner writing, recorded speech and tutor constraints into tutor-approved practice and translation records linked to learner progress. The benefit is a testable hypothesis, measured through accepted practice sessions per tutor hour and corrections after tutor review; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect licensed lesson material, learner writing, recorded speech and tutor constraints, then follow this sequence: 1. Translate written text between supported languages. 2. Correct grammar and flag recurring errors. 3. Run interactive chat for speaking and listening practice. Resolve uncertain cases with qualified reviewers, approve tutor-approved practice and translation records linked to learner progress, and measure accepted practice sessions per tutor hour and corrections after tutor review 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 language pair set and licensed lesson corpus; final grading and placement decisions remain tutor. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve learner voice, source attribution, quotation accuracy and usage permissions. Tutors approve substantive corrections and placement scope. One fixed language pair set and licensed lesson corpus; final grading and placement decisions remain tutor. 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 language pair set and licensed lesson corpus; final grading and placement decisions remain tutor. Implement one approved input format, a bounded representative case set and the first two task modules: translate written text between supported languages; correct grammar and flag recurring errors. Support the third module with operator review: run interactive chat for speaking and listening practice. 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

School-owned lesson material, authorized learner recordings and permitted reference sources. Cloud file storage, learning-management-system import/export and classroom 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: Learner workspace, Tutor review queue, Progress and delivery. Use a thumbnail gallery for courses and learners, a large central practice canvas, and a right-hand panel for translation, corrections and comments. Let users compare draft and corrected versions side by side. Display draft, changes requested and approved states. Provide a learner preview link with comments anchored to the relevant exercise. Make the task-specific outcome tutor-approved practice and translation records linked to learner progress visible beside its evidence, review state and value baseline.