Screenshot of the Role-based course authoring and delivery console interactive demo
Screenshot of the interactive demo, on sample data

Role-based course authoring and delivery console

Reduce tool sprawl and manual course assembly while keeping one owned source of truth.

Try the interactive demo Get this built for you

For
Training managers, instructional designers and educators producing interactive courses
Solves
Course creation is split across authoring, quiz, tutoring, analytics and sales tools, so content, learner data and updates live in separate subscriptions.
Delivers
Reviewed interactive courses with quizzes, tutor support, learner paths and progress analytics
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool sprawl and manual course assembly while keeping one owned source of truth.

  1. Generate course outlines and lessons from a prompt or file.
  2. Edit and enhance generated lessons in a structured editor.
  3. Generate quizzes and flashcards from lesson content.
  4. Provide an in-lesson AI tutor for learner questions.
  5. Build personalized learning paths by goal and skill level.
  6. Track learner progress with analytics dashboards.
  7. Share courses to learners or audiences with one click.
  8. Connect to learning management systems for deployment.
  9. Run email campaigns, sales funnels and payment options.
  10. Create maps, charts and infographics for lessons.
  11. Convert manuals, SOPs and documents into interactive training.
  12. Sync and update course content when source documents change.
  13. Produce 3D stories and immersive training content.
  14. Support multilingual voice and translation.
  15. Deliver a mobile-friendly learner interface.
  16. Support team collaboration and real-time project work.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Prompts
  • Files
  • Manuals
  • SOPs
  • Brand constraints

AI drafts, people review. Role-based learning platform and course authoring console.

What the customer gets
  • Reviewed interactive courses with quizzes
  • Tutor support
  • Learner paths
  • Progress analytics
02

How it works

The workflow

  1. In
    Start with

    Prompts, files, manuals, SOPs and brand constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect prompts

  4. 3

    Files

  5. 4

    Manuals

  6. 5

    SOPs and brand constraints

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Reviewed interactive courses with quizzes, tutor support, learner paths and progress analytics

AI does the heavy lifting, people stay in charge

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 approved source format and one target LMS profile; final instructional and assessment checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Course brief and sources, Authoring and lesson editor, Learner delivery and progress. Use a thumbnail gallery for courses, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a learner preview link with comments anchored to the relevant lesson. Make the task-specific outcome reviewed interactive courses with quizzes, tutor support, learner paths and progress analytics visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, learner 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

Author-owned documents, manuals and permitted research sources. Cloud asset storage, LMS import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct LMS deployment. 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

    7 days

    One buyer segment, one recurring use case; first modules: generate course outlines and lessons from a prompt or file; edit and enhance generated lessons in a structured editor. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    8 days

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

  4. 4

    Full product

    3 weeks

    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 training managers, instructional designers and educators producing interactive courses use it to solve "course creation is split across authoring, quiz, tutoring, analytics and sales tools, so content, learner data and updates live in separate subscriptions"?
  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 lessons per authoring hour and learner completion rate.
  4. Measure, then decide. Track accepted lessons per authoring hour and learner completion rate; 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 approved source format and one target LMS profile; final instructional and assessment checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate course outlines and lessons from a prompt or file; edit and enhance generated lessons in a structured editor. Support the third module with operator review: generate quizzes and flashcards from lesson content. 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 reviewed interactive courses with quizzes, tutor support, learner paths and progress analytics. Retain the explicit scope boundary: One approved source format and one target LMS profile; final instructional and assessment checks remain human.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist instructional QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved source format and one target LMS profile; final instructional and assessment checks remain human.

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: generate course outlines and lessons from a prompt or file; edit and enhance generated lessons in a structured editor. Manual review in the loop.

    $13,000 · about 7 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.

    $13,000 · about 8 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 3 weeks of creation time

Indicative total, MVP to full product$44,000about 6 weeks of creation time · start with the MVP from $13,000

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

Training managers, instructional designers and educators producing interactive courses run it inside the business: prompts, files, manuals, SOPs and brand constraints in, reviewed interactive courses with quizzes, tutor support, learner paths and progress analytics 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#918627
  • accent#5476c9
  • surface#f1efe4
  • ink#22201e
Headings
Manrope
Text
Manrope
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 course package. Offer a monthly production allowance after repeat demand. Quote complex 3D, multilingual or specialist training separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed interactive course with quizzes, tutor support, learner paths and progress analytics. Recurring fees must specify volume, review depth and integration support. For course sales, test a disclosed platform or successful-enrollment 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 sprawl and manual course assembly while keeping one owned source of truth. Demonstrate a concrete reviewed interactive course with quizzes, tutor support, learner paths and progress analytics using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Training managers, instructional designers and educators producing interactive courses professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed interactive course with quizzes, tutor support, learner paths and progress analytics from a small authorized input set, with a transparent calculation of accepted lessons per authoring hour and learner completion rate and no promised savings.

The first 30 days

  1. Week 1: interview five training managers, instructional designers and educators producing interactive courses and inspect a recent example of course creation split across authoring, quiz, tutoring, analytics and sales tools.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted lessons per authoring hour and learner completion rate, 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 lessons per authoring hour and learner completion rate. 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 lessons per authoring hour and learner completion rate; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed interactive courses with quizzes, tutor support, learner paths and progress analytics. 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 course structures, assessment patterns and review examples, together with reliable delivery for a narrow education niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for training managers, instructional designers and educators producing interactive courses. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Oboe, Coursezy, EverLearns Studio, Gauth AI Course, Skills Up, Learniverse AI, inncivio, Aden AI, Skillsboost and We Are Learning, plus manual authoring and generic generation tools. Compare this product with the buyer's present method on accepted lessons per authoring hour and learner completion rate. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, voice and translation processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed interactive courses with quizzes, tutor support, learner paths and progress analytics. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve learner data rights, source attribution, assessment accuracy and usage permissions. Named reviewers approve substantive course changes and publication scope. One approved source format and one target LMS profile; final instructional and assessment checks remain human. 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 7 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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