Screenshot of the Adaptive language practice and lesson workbench interactive demo
Screenshot of the interactive demo, on sample data

Adaptive language practice and lesson workbench

Reduce tool switching and repeated setup while keeping one learner record.

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For
Language learners and workshop facilitators running practice programmes
Solves
Learners juggle several subscriptions for lessons, audio practice, spaced repetition, grammar help and media-based content, and none of them share one record of progress.
Delivers
Facilitator-approved practice sets and progress records
Built in
about 4 weeks of creation time, MVP in 4 days
Investment
$14,500 for the MVP, $49,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool switching and repeated setup while keeping one learner record.

  1. Build personalized lessons from level, interests and goals.
  2. Attach images and visuals to new words and concepts.
  3. Deliver audio-only lessons for screen-free practice.
  4. Prompt speaking practice out loud during lessons.
  5. Schedule spaced repetition reviews at increasing intervals.
  6. Convert numbers, times, dates, durations and counters into the target language with multiple scripts.
  7. Provide natural translations with context and phrasing notes.
  8. Break down sentences to explain grammar, formality and component relationships.
  9. Offer an interactive demo without account creation.
  10. Keep a free tier with limited usage and no login.
  11. Adapt content to current proficiency level.
  12. Target roughly ninety percent comprehension in supplied material.
  13. Explain unfamiliar words in context.
  14. Reintroduce learned vocabulary into later content.
  15. Adapt both text and video material for learning.
  16. Assemble a daily exercise set across skills.
  17. Give AI-generated feedback on speaking and writing tasks.
  18. Support beginner, intermediate and advanced levels.
  19. Run interactive quizzes inside reading and listening activities.
  20. Turn permitted videos, shows or documents into custom lessons.
  21. Focus vocabulary on everyday situations such as dining, travel and professional settings.
  22. Allow deeper exploration of a topic or word set.
  23. Support lessons across many languages.
  24. Offer optional private classes with teachers.
  25. Compare the reviewed result with the recorded baseline and value assumptions.
  26. Capture corrections and named-owner approval before consequential use.
  27. Export a versioned facilitator-approved practice set and progress record with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Learner goals
  • Proficiency evidence
  • Interests
  • Licensed media
  • Review history

AI drafts, people review. Interactive practice or facilitated workshop platform.

What the customer gets
  • Facilitator-approved practice sets
  • Progress records
02

How it works

The workflow

  1. In
    Start with

    Learner goals, proficiency evidence, interests, licensed media and review history

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect learner goals

  4. 3

    Proficiency evidence

  5. 4

    Interests

  6. 5

    Licensed media and review history

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Facilitator-approved practice sets and progress records

AI does the heavy lifting, people stay in charge

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 target language pair and one proficiency framework; final placement, correction and certification decisions remain with qualified teachers. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Learner profile and goals, Editable lesson and practice preview, Facilitator review and delivery. Use a thumbnail gallery for learners and lesson sets, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare lesson 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 facilitator-approved practice sets and progress records visible beside its evidence, review state and value baseline.

Accounts and administration

Learner ownership, asset versions, facilitator comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Learner-owned study material, authorized media and permitted research sources. Cloud asset storage, document and video import/export and learning management 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.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    4 days

    One buyer segment, one recurring use case; first modules: build personalized lessons from level, interests and goals; attach images and visuals to new words and concepts. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    5 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    10 days

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will language learners and workshop facilitators running practice programmes use it to solve "learners juggle several subscriptions for lessons, audio practice, spaced repetition, grammar help and media-based content, and none of them share one record of progress"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted practice sets per facilitator hour and retention of reviewed vocabulary.
  4. Measure, then decide. Track accepted practice sets per facilitator hour and retention of reviewed vocabulary; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One target language pair and one proficiency framework; final placement, correction and certification decisions remain with qualified teachers. Implement one approved input format, a bounded representative case set and the first two task modules: build personalized lessons from level, interests and goals; attach images and visuals to new words and concepts. Support the remaining modules with operator review. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around facilitator-approved practice sets and progress records. Retain the explicit scope boundary: One target language pair and one proficiency framework; final placement, correction and certification decisions remain with qualified teachers.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity language teaching requires qualified teacher review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One target language pair and one proficiency framework; final placement, correction and certification decisions remain with qualified teachers.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: build personalized lessons from level, interests and goals; attach images and visuals to new words and concepts. Manual review in the loop.

    $14,500 · about 4 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $14,500 · about 5 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $20,500 · about 10 days of creation time

Indicative total, MVP to full product$49,500about 4 weeks of creation time · start with the MVP from $14,500

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$50–$110$80–$170
Full productabout 50 customers$110–$210$420–$840$530–$1,050
05

Run it or resell it

Internally

For your own team

Language learners and workshop facilitators running practice programmes run it inside the business: learner goals, proficiency evidence, interests, licensed media and review history in, facilitator-approved practice sets and progress records out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#917c27
  • accent#5491c9
  • surface#f1eee4
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Encouraging, patient, precise
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined learner cohort. Offer a monthly practice allowance after repeat demand. Quote private classes, specialist languages or certification preparation separately. These are test prices, not market benchmarks. Package the initial sale as one bounded facilitator-approved practice set and progress record. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool switching and repeated setup while keeping one learner record. Demonstrate a concrete facilitator-approved practice set and progress record using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Language learners and workshop facilitators running practice programmes professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample facilitator-approved practice set and progress record from a small authorized input set, with a transparent calculation of accepted practice sets per facilitator hour and retention of reviewed vocabulary and no promised savings.

The first 30 days

  1. Week 1: interview five language learners and workshop facilitators running practice programmes and inspect a recent example of learners juggling several subscriptions for lessons, audio practice, spaced repetition, grammar help and media-based content, and none of them share one record of progress.
  2. Week 2: prepare a consented or synthetic demonstration of the stated task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted practice sets per facilitator hour and retention of reviewed vocabulary, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted practice sets per facilitator hour and retention of reviewed vocabulary. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted practice sets per facilitator hour and retention of reviewed vocabulary; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs facilitator-approved practice sets and progress records. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved lesson patterns, proficiency mappings and review examples, together with reliable delivery for a narrow learning niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for language learners and workshop facilitators running practice programmes. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

EasyLang AI, HearSay Learn, Kazu Navi (かずナビ), VocAdapt and bentolingo, plus generic generation tools and existing classroom materials. Compare this product with the buyer's present method on accepted practice sets per facilitator hour and retention of reviewed vocabulary. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, speech and media processing, storage, reviewer hours, learner revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of facilitator-approved practice sets and progress records. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve learner voice, source attribution, quotation accuracy and usage permissions. Facilitators and qualified teachers approve substantive changes and placement scope. One target language pair and one proficiency framework; final placement, correction and certification decisions remain with qualified teachers. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 4 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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