Role-based course authoring and delivery console

For

Training teams, educators and subject-matter experts producing and running courses

Solves

Course creation, delivery and learner tracking are split across separate authoring tools, LMS platforms and analytics dashboards, so content goes stale and progress is hard to see.

Delivers

Reviewed course modules, assessments and learner progress reports

Built in

about 6 weeks of creation time, MVP in 7 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

Reduce course production and maintenance effort while keeping one reviewed source of truth.

1. Generate course outlines, lessons, exercises and worksheets from approved sources.
2. Assemble narrated videos, slides and media into cohesive lessons.
3. Translate text and speech into target languages.
4. Generate quizzes in multiple formats with LMS-ready export.
5. Combine authoring and LMS delivery in one console.
6. Apply customizable course templates.
7. Track and report learner progress and outcomes.
8. Add interactive elements to lessons.
9. Run AI video coaches that respond to learner questions.
10. Build role-play and simulated conversation scenarios.
11. Add gamified lessons and interactive activities.
12. Speed up authoring with reusable blocks.
13. Control asset downloads and restrict distribution.
14. Schedule publishing with a content calendar.
15. Support real-time team feedback and editing.
16. Monitor content performance and engagement.
17. Publish to multiple channels.
18. Build course structures from uploaded documents, connected drives or typed topics.
19. Provide adaptive lessons with simulations, scenarios, flashcards, podcasts and graded projects.
20. Sync external sources to a central knowledge base and update drafts when sources change.
21. Report learner progress, flag problem areas and suggest edits with human approval.
22. Share courses through shareable links.
23. Sync with LMS and HR systems for delivery and tracking.
24. Personalize content with custom texts, images, documents, videos or articles.
25. Offer exercise formats such as chat and email simulations.
26. Plan curricula and lesson plans with an AI lesson planner.
27. Provide ready-to-use exercises and worksheets.

Everything these tools do, in one app

• AI content generation Automatically generates educational content such as courses, lessons, exercises, and worksheets.Found in CoursePro.ai, Creatium, Creator Platform by Adaptiv and 2 more
• Multimedia integration Combines narrated videos, slide presentations, and other media into cohesive learning materials.Found in CoursePro.ai
• Automatic translation Instantly translates text and speech into over 60 languages for global audiences.Found in CoursePro.ai
• Interactive assessments Generates quizzes with up to 80 questions in multiple formats, including XML for LMS integration.Found in CoursePro.ai
• All-in-one platform Combines authoring and Learning Management System (LMS) functionalities in one platform.Found in CoursePro.ai
• Customizable templates Provides templates that can be customized for course design.Found in CoursePro.ai
• Learner progress analytics Tracks and reports on learner progress and outcomes.Found in CoursePro.ai, Creatium, Honen
• Interactive content options Offers interactive elements to foster learner engagement.Found in CoursePro.ai, Creatium, Honen
• AI video coaches Provides AI video coaches that respond bi-directionally and adapt to learner questions.Found in Creatium
• Role-play scenarios Enables simulated conversations and role-play for realistic practice.Found in Creatium
• Gamified lessons Incorporates gamification elements and interactive activities to increase completion rates.Found in Creatium, to teach
• Authoring speed improvements Speeds up the content creation process.Found in Creatium
• Asset download control Allows control over asset downloads and restricts distribution.Found in Creatium
• Content calendar Integrated calendar for scheduling and tracking publishing timelines.Found in Creator Platform by Adaptiv
• Collaboration tools Enables team members to share feedback and edit content in real-time.Found in Creator Platform by Adaptiv
• Content performance analytics Dashboard to monitor content performance and engagement metrics.Found in Creator Platform by Adaptiv
• Multi-platform publishing Distributes content across various channels directly.Found in Creator Platform by Adaptiv
• Auto-generated courses Automatically builds course structures from uploaded documents, connected drives, or typed topics.Found in Honen
• Adaptive lessons Provides adaptive lessons with simulations, scenarios, flashcards, podcasts, and hands-on projects with grading options.Found in Honen
• Central knowledge base Syncs external sources and ties content to a single source of truth, updating course drafts when source items change.Found in Honen
• Admin analytics and AI agent Reports learner progress, highlights problem areas, and suggests edits with human approval workflows.Found in Honen
• Shareable links Provides shareable links for course delivery.Found in Honen
• LMS/HR sync Integrates with LMS and HR systems for course delivery and tracking.Found in Honen
• Personalization options Allows modification of content by incorporating custom texts, images, documents, YouTube videos, or web articles.Found in to teach
• Unique exercise formats Offers exercise formats such as WhatsApp chats and emails to keep students engaged.Found in to teach
• AI lesson planner Enables educators to quickly create curricula and lesson plans.Found in to teach
• Pre-made exercises and worksheets Provides over 800 ready-to-use exercises and worksheets.Found in to teach

What goes in, what comes out

The workflow

1. In
   Start with

   Approved source documents, media, curricula and role definitions

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect approved source documents

4. 3

   Media

5. 4

   Curricula and role definitions

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed course modules, assessments and learner progress reports

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 set and target language list; final curriculum, assessment and grading decisions remain with qualified educators. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Course brief and source library, Editable course and lesson builder, Learner delivery and progress view. Use a thumbnail gallery for courses, a large central editing canvas, and a right-hand panel for sources, roles 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 course modules, assessments and learner progress reports 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, authorized media and permitted research sources. Cloud asset storage, LMS and HR systems, 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.

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, lessons, exercises and worksheets from approved sources; assemble narrated videos, slides and media into cohesive lessons. 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 teams, educators and subject-matter experts producing and running courses use it to solve "course creation, delivery and learner tracking are split across separate authoring tools, LMS platforms and analytics dashboards, so content goes stale and progress is hard to see"?
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 course modules per authoring hour and learner completion rate.
4. Measure, then decide. Track accepted course modules 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 set and target language list; final curriculum, assessment and grading decisions remain with qualified educators. Implement one approved input format, a bounded representative case set and the first two task modules: generate course outlines, lessons, exercises and worksheets from approved sources; assemble narrated videos, slides and media into cohesive lessons. Support the third module with operator review: generate quizzes in multiple formats with LMS-ready export. 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 course modules, assessments and learner progress reports. Retain the explicit scope boundary: One approved source set and target language list; final curriculum, assessment and grading decisions remain with qualified educators.

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 educational QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved source set and target language list; final curriculum, assessment and grading decisions remain with qualified educators.

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

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.

Your brand, or this one

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

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 video, translation or specialist assessment design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed course modules, assessments and learner progress reports. 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 course production and maintenance effort while keeping one reviewed source of truth. Demonstrate a concrete reviewed course modules, assessments and learner progress reports using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Training teams, educators and subject-matter experts producing and running 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 course modules, assessments and learner progress reports from a small authorized input set, with a transparent calculation of accepted course modules per authoring hour and learner completion rate and no promised savings.

The first 30 days

1. Week 1: interview five training teams, educators and subject-matter experts producing and running courses and inspect a recent example of course creation, delivery and learner tracking are split across separate authoring tools, LMS platforms and analytics dashboards, so content goes stale and progress is hard to see.
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 course modules 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 course modules 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 course modules 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 course modules, assessments and learner progress reports. 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 teams, educators and subject-matter experts producing and running courses. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

CoursePro.ai, Creatium, Creator Platform by Adaptiv, Honen and to teach. Compare this product with the buyer's present method on accepted course modules 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, video or image 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 course modules, assessments and learner progress reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve educator voice, source attribution, quotation accuracy and usage permissions. Qualified educators approve substantive curriculum, assessment and grading changes and publication scope. One approved source set and target language list; final curriculum, assessment and grading decisions remain with qualified educators. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.