AI app for education · no coding needed
Spoken language practice conversation studio
Increase supervised spoken repetitions per learner while keeping tutor review of corrections.
Made for: Language schools, university language centres and corporate learning teams running speaking practice for groups of learners
What it does for you
The problem
Learners get too few spoken repetitions and tutors cannot listen to every conversation or give consistent corrections.
What it gives you
Tutor-approved conversation practice with linked corrections
What you give it
Learner speechtutor-set topicscurriculum goals
Build your own version of AITalk, Llanai and more
One app with what these 10 AI tools do, yours to keep and change: AITalk, Llanai, SpeakingAI, Vocao.ai, Univerbal (formerly Quazel), Aoi Speak, Talkface, Luqo AI, Talk to Dai (Day), Mr. Takahashi: Speak Japanese.
Everything these tools do, in one app
- AI conversation practice Lets users hold spoken conversations with an AI to practice using the language.Found in AITalk, SpeakingAI, Vocao.ai and 4 more
- Instant feedback Gives immediate corrections or comments on the user's speaking during or right after practice.Found in SpeakingAI, Vocao.ai, Univerbal (formerly Quazel) and 2 more
- Pronunciation correction Points out and helps fix pronunciation mistakes.Found in SpeakingAI, Vocao.ai, Mr. Takahashi: Speak Japanese
- Grammar correction Identifies and helps correct grammar errors in the user's speech.Found in AITalk, SpeakingAI
- Multiple language support Offers practice in more than one language.Found in AITalk, SpeakingAI, Univerbal (formerly Quazel) and 1 more
- Custom conversation topics Lets users choose or create subjects for their practice conversations.Found in Univerbal (formerly Quazel)
- Adaptive difficulty Adjusts the difficulty of lessons or conversations based on how the user is doing.Found in SpeakingAI, Talkface
- Personalized learning path Creates a customized plan or curriculum that follows the user's progress and goals.Found in Univerbal (formerly Quazel), Talkface
- Progress tracking Shows how the user's skills are improving over time.Found in Mr. Takahashi: Speak Japanese
- Exam preparation Provides targeted practice for language proficiency exams like IELTS, TOEIC, or TOEFL.Found in AITalk, Talkface
- Mobile app Lets users practice on a smartphone or tablet.Found in AITalk, SpeakingAI, Vocao.ai and 1 more
- Human conversation partners Connects users with real people for live speaking practice.Found in Aoi Speak
- Accent adaptation Adjusts the AI's accent to different regional varieties on request.Found in Vocao.ai
- Gamification elements Uses game-like features to make practice more engaging and motivating.Found in Talkface
- Writing assistance Helps users improve their written language skills.Found in AITalk
- Creative naming Provides help with generating creative names or terms.Found in AITalk
- Content generation Automatically produces written content such as articles, blogs, or marketing copy.Found in Llanai, Luqo AI
- Collaboration tools Allows multiple users to work together on content projects.Found in Llanai, Luqo AI
- Content optimization Offers suggestions to improve content for SEO and readability.Found in Llanai
- Customizable templates Provides pre-made templates that can be adapted for different writing tasks.Found in Llanai, Luqo AI
- CMS integration Connects with popular content management systems.Found in Llanai, Luqo AI
How it works, step by step
- Run spoken AI conversations in the chosen target language
- Give immediate spoken and written corrections during practice
- Flag pronunciation errors with the learner's own audio
- Flag grammar errors with corrected alternatives
- Support several target languages per cohort
- Let tutors set or learners choose conversation topics
- Adjust difficulty from recent learner performance
- Build a personalised path from goals and progress
- Track pronunciation, grammar and fluency over time
- Provide exam-style tasks for IELTS, TOEIC and TOEFL
- Run on phone and tablet browsers
- Connect learners with vetted human partners for live practice
- Adapt the AI accent to regional varieties on request
- Add streaks, points and level goals for motivation
- Support written exercises linked to the same topic
- Generate practice prompts and topic variants
- Let learner pairs rehearse a shared scenario
- Suggest clearer phrasing for learner-written answers
- Offer reusable lesson templates per level
- Export results to the school's learning platform
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 Spoken language practice conversation studio 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 Spoken language practice conversation studio 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 Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data197 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
Increase supervised spoken repetitions per learner while keeping tutor review of corrections. For language schools, university language centres and corporate learning teams running speaking practice for groups of learners, convert learner speech, tutor-set topics and curriculum goals into tutor-approved conversation practice with linked corrections. The benefit is a testable hypothesis, measured through supervised spoken minutes per learner and accepted corrections per tutor hour; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect learner speech, tutor-set topics and curriculum goals, then follow this sequence: 1. Run spoken AI conversations in the chosen target language. 2. Give immediate spoken and written corrections during practice. 3. Flag pronunciation errors with the learner's own audio. Resolve uncertain cases with qualified reviewers, approve tutor-approved conversation practice with linked corrections, and measure supervised spoken minutes per learner and accepted corrections per tutor hour 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 scoring, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One target language per pilot cohort and tutor-approved topic bank; final correction and level decisions remain tutor-led. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve learner consent, audio retention limits, source attribution and usage permissions. Tutors approve substantive corrections and level decisions. One target language per pilot cohort and tutor-approved topic bank; final correction and level decisions remain tutor-led. 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 target language per pilot cohort and tutor-approved topic bank; final correction and level decisions remain tutor-led. Implement one approved input format, a bounded representative case set and the first two task modules: run spoken AI conversations in the chosen target language; give immediate spoken and written corrections during practice. Support the third module with operator review: flag pronunciation errors with the learner's own audio. 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 learning platforms, tutor-owned topic banks and permitted curriculum sources. Cloud audio storage, single sign-on and export to the school's LMS. Start with file exchange and validate destination specifications before promising direct gradebook sync. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Tutor setup and topic bank, Learner conversation room, Tutor review and progress. Use a class roster with per-learner status, a large central conversation panel with live transcript, and a right-hand panel for corrections, difficulty and goals. Let tutors compare attempts side by side. Display draft, changes requested and approved states. Provide a learner practice link with corrections anchored to the relevant utterance. Make the task-specific outcome tutor-approved conversation practice with linked corrections visible beside its evidence, review state and value baseline.
