
Role-based course authoring and delivery console
Reduce tool sprawl and manual course assembly while keeping one owned source of truth.
- 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
What it does
Reduce tool sprawl and manual course assembly while keeping one owned source of truth.
- Generate course outlines and lessons from a prompt or file.
- Edit and enhance generated lessons in a structured editor.
- Generate quizzes and flashcards from lesson content.
- Provide an in-lesson AI tutor for learner questions.
- Build personalized learning paths by goal and skill level.
- Track learner progress with analytics dashboards.
- Share courses to learners or audiences with one click.
- Connect to learning management systems for deployment.
- Run email campaigns, sales funnels and payment options.
- Create maps, charts and infographics for lessons.
- Convert manuals, SOPs and documents into interactive training.
- Sync and update course content when source documents change.
- Produce 3D stories and immersive training content.
- Support multilingual voice and translation.
- Deliver a mobile-friendly learner interface.
- Support team collaboration and real-time project work.
Everything these tools do, in one app
- AI course generation Automatically creates full course outlines and lessons from a prompt, file, or other input.Found in Oboe, EverLearns Studio, Gauth AI Course and 2 more
- Interactive lesson editor Lets users customize and enhance generated course content.Found in EverLearns Studio, Learniverse AI
- Quizzes and flashcards Automatically generates interactive quizzes and flashcards to reinforce learning.Found in EverLearns Studio, Gauth AI Course, Skills Up
- Built-in AI tutor Provides an AI assistant that answers questions without leaving the lesson.Found in Gauth AI Course
- Personalized learning paths Adapts course recommendations and training paths to individual goals and skill levels.Found in Oboe, Skills Up, Aden AI and 1 more
- Progress tracking Monitors learner progress and provides analytics dashboards.Found in Coursezy, Skills Up, Learniverse AI and 1 more
- Course sharing Enables distribution of courses to students or audiences with a single click.Found in EverLearns Studio, Gauth AI Course
- LMS integration Connects with popular learning management systems for smooth content deployment.Found in Skillsboost, We Are Learning
- Marketing and sales tools Includes email campaigns, sales funnels, and payment options to sell courses.Found in Coursezy
- Interactive maps and charts Creates customizable maps, charts, and infographics for data visualization.Found in inncivio
- Document-to-course conversion Transforms company manuals, SOPs, and other documents into interactive training.Found in Aden AI
- Automatic versioning Syncs and updates course content when source documents change.Found in Aden AI
- 3D story creation Produces immersive 3D stories and training content quickly.Found in We Are Learning
- Multilingual support Offers real-time AI voice and translation for multiple languages.Found in We Are Learning
- Mobile-friendly interface Allows learning on the go via mobile devices.Found in Skills Up
- Collaboration tools Facilitates team-based learning and real-time collaboration on projects.Found in inncivio, Skillsboost
What goes in, what comes out
- Prompts
- Files
- Manuals
- SOPs
- Brand constraints
AI drafts, people review. Role-based learning platform and course authoring console.
- Reviewed interactive courses with quizzes
- Tutor support
- Learner paths
- Progress analytics
How it works
The workflow
- InStart with
Prompts, files, manuals, SOPs and brand constraints
- 1
Confirm the buyer's problem and scope
- 2
Collect prompts
- 3
Files
- 4
Manuals
- 5
SOPs and brand constraints
- 6
Then follow this sequence: 1
- OutFinish 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.
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
Scoping call
Day 1Thirty 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
MVP
7 daysOne 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
Paid pilot
8 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- 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"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted lessons per authoring hour and learner completion rate.
- 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.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- 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.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
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.
| Stage | Hosting and infrastructure | AI usage | Total 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 |
Run it or resell it
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.
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
- 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.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- 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.
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.