Course content and learner workflow in one app
Plan modules, create lesson experiences, define learner access, and give operators a practical review workflow. Playcode turns the brief into a hosted app with editable code, so you can inspect the states that matter before inviting real learners.
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Quick answer
An AI course builder can turn a program outline into a custom web app with modules, lessons, learner access, progress records, and an operator workspace. With Playcode, you describe the content model and rules, review the generated code and interface, test each role, and publish the course on a live URL.
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Counts registered accounts using corporate email domains from the companies above. Playcode is a self-serve product, not a contracted vendor to these brands.
Build the content lifecycle and access rules before adding every lesson
Start with one course, two modules, and a few representative lessons. For each lesson, name its format, required assets, availability rule, completion definition, and owner.
Separate course structure, lesson content, learner membership, access grants, attempts, and progress events. This keeps a curriculum edit from silently rewriting learner history.
Ask Playcode for a learner view with accessible content and clear next actions, plus a protected operator view for drafting, review, publishing, enrollment support, and progress diagnosis.
Test signed-out, enrolled learner, non-enrolled account, editor, and admin states against the same course and lesson IDs. Every protected response must be authorized on the server.
Publish over HTTPS, complete the first module with fictional accounts, and verify draft lessons stay private while published lessons follow their availability rule.
Add email, video, payment, or an existing LMS only through provider accounts and documented APIs. Monitor failures, define retention, and rehearse exports and recovery before relying on the app.
Your website is live!
A course app connects curriculum decisions to visible learner and operator states
Choose the parts that support one complete teaching and operations loop
Organize outcomes, modules, lessons, prerequisites, release rules, and content owners without treating a long page as the curriculum model.
Draft, review, publish, replace, and archive lesson versions while preserving which version an existing attempt referenced.
Show available lessons, blocked states, resume points, captions, transcripts, exercises, and the exact action that records completion.
Give authorized editors and admins separate tools for content review, access changes, progress diagnosis, exceptions, and exports.
Record retry-safe events against a learner, course version, lesson version, and attempt rather than updating one unexplained percentage.
Host the app, then connect external video, email, payment, or LMS services through their accounts, APIs, and verified callbacks when needed.
Define the records and evidence first, then exercise the same lesson from authoring, learner, and support perspectives.
The first build needs real variation: a text or video lesson, an exercise, a gated lesson, and a lesson that can be revised after publishing.
Ready when: Every sample lesson has a title, format, owner, availability rule, completion definition, required media, and accessibility requirement.
Learners, editors, support staff, and admins need different read and write permissions, while course content and learner records may require different retention policies.
Ready when: A written matrix states who may view drafts, publish content, enroll or remove a learner, change progress, inspect attempts, and export personal data.
Videos, images, downloads, learner submissions, email, payments, and LMS synchronization can involve separate licenses, accounts, processors, and deletion obligations.
Ready when: Each content asset and external service has an owner, usage permission, credential location, retention period, deletion path, and fallback behavior.
Describe course, module, lesson, lesson version, asset, and publication records. Use stable IDs and explicit draft, in-review, published, superseded, and archived transitions; keep learner history linked to the version it used.
Editors can revise a lesson without exposing the draft or silently changing the evidence attached to an earlier attempt.
Publish a fictional lesson, create a learner attempt, revise the draft, and confirm the learner still sees the intended published version until the replacement is approved.
Resolve signed-in identity, workspace or cohort membership, course access, and role on the server. Limit editors to content actions and reserve access overrides, progress corrections, exports, and retention actions for explicitly authorized operators.
Each role receives only the course records and actions required for its task, even when a person requests a known ID directly.
Request the same draft lesson, learner attempt, progress edit, and export as a signed-out visitor, learner, editor, and admin; confirm every response matches the role matrix.
Create structured lesson blocks for text, embeds, downloads, and exercises. Store captions, transcripts, alternative text, rights notes, and fallback copy; use server-side provider credentials and avoid copying licensed media without permission.
The lesson remains understandable when an embed is blocked or delayed, and an operator can identify the asset owner and permitted use.
Disable the fictional video response, navigate by keyboard, inspect headings and labels, and confirm the transcript, error state, and retry action remain available.
Define which observable event marks progress, such as opening required content, submitting an exercise, or receiving manual review. Make repeated submissions retry-safe, preserve attempt identity, and use version checks for conflicting operator edits.
The app can explain why a lesson appears complete without claiming that the learner understood, passed, or became certified unless a separately defined policy establishes that result.
Submit the same fictional exercise twice, edit one review from two sessions, and confirm one retry-safe submission exists while the stale review receives a clear conflict response.
Publish one module, complete it with fictional accounts, record stable request and attempt IDs without answers or tokens, then test source-code export, learner-data export, deletion, and whole-app recovery as separate operations.
The live app serves the intended published version, failures are diagnosable without exposing private learning records, and each portability or recovery promise has a verified boundary.
Run a private-browser smoke test, export one fictional learner, delete it under the retention rule, restore the tested app state in the documented recovery path, and compare record counts and version IDs.
Choose: Use an observable action for navigation progress. Add a separate reviewed result only when the scoring rubric, attempt policy, reviewer authority, appeal path, and version are explicit.
Tradeoff: Action-based progress is predictable but does not show understanding. Reviewed results can carry more meaning but require operational capacity, consistency checks, and careful claims.
Choose: Keep local IDs and explicit course access state, while external providers handle the service they specialize in. Reconcile signed, retry-safe provider events rather than querying a provider during every lesson request.
Tradeoff: Provider-backed services add capability but also accounts, plans, credentials, rate limits, webhooks, privacy terms, outages, and reconciliation work. A smaller local-only first release is easier to verify.
An editor drafts and publishes one fictional module; an enrolled learner opens each lesson, submits an exercise, and receives the defined completion record.
Expected: Only published content is visible, each action is linked to the correct learner and lesson version, and the operator view shows the same final state.
A non-enrolled account requests a known lesson ID, a learner requests a draft version, and an exercise is submitted without required fields.
Expected: Protected content stays private, no progress is created, validation is specific, and the response does not expose another learner or unpublished content.
The same completion or provider event is delivered twice, then two operators try to change the same review from different starting versions.
Expected: A retry changes state once, while the concurrent stale edit is rejected with enough version context for a deliberate refresh and retry.
In a private browser, sign in as a fictional enrolled learner on the HTTPS app, complete one lesson, sign out, and repeat the lesson request directly.
Expected: The published lesson works for the enrolled session, the event appears once for operators, and the signed-out request is denied.
Adapt the curriculum and access model without weakening the operational boundaries
Lessons by account or plan
Teach product workflows with public previews, customer-workspace access, versioned lessons, and a support view for missing access or progress.
Training by role and start date
Release modules in a clear sequence, combine self-paced lessons with manager review, and retain only the records required by the organization policy.
Weekly content and assignments
Group learners by cohort, attach live-session links and exercises, and separate submission receipt from subjective feedback or completion approval.
Branded learning experience
Pair marketing pages with preview lessons and a private course area. Connect payment, video, and email providers only when their operating paths are defined.
A focused workspace can show lesson structure, publication state, required accessibility work, and the exact completion rule before a learner sees the lesson.
Useful software connects content creation to access, evidence, and operation
| Course requirement | Content-only generator | Custom Playcode app |
|---|---|---|
| Curriculum structure | Documents or pages produced independently | Courses, modules, lessons, versions, and release rules represented as records |
| Learner access | A shared link or presentation-only gate | Identity, enrollment or membership, role, and resource checks enforced server-side |
| Progress meaning | One percentage without traceable evidence | Retry-safe events and attempts tied to explicit completion definitions |
| Assessment boundary | Automatic score presented as learning proof | Submission, review, score, progress, and certification kept distinct |
| Operations | Manual support across inboxes and spreadsheets | Protected operator tools, bounded logs, provider reconciliation, export, and recovery paths |
Playcode AI runs the same frontier models that power ChatGPT and Claude - and orchestrates them like a team: it plans the work, delegates to sub-agents, runs long jobs in the background, and reviews its own changes.
The latest models from every major lab, in one picker. Switch anytime.
Big jobs split across specialists - one explores your code, one writes, one audits - working in parallel.
Long builds and migrations keep running while you keep talking. They report back when done.
Have a design in Figma? Paste a screenshot - or a page you like, or a bug - and it builds from what it sees.
Tuned by years of iteration to write production software - structured, typed, maintainable - not throwaway prototypes.
Under every project is a codebase the agent keeps production-grade. And you are never locked out of it: open the file explorer and edit any file yourself - server included. No AI required.
Complete states, secure boundaries, structured code - the bar is what a professional agency would ship.
Browse the whole project - frontend, backend, configuration - and edit directly in the built-in editor.
Invite your developer with the right role, or export the project code and files. Nothing is trapped in Playcode.
Playcode is built for organizations, not just solo builders. Workspaces hold your projects, people, and billing; roles and teams decide exactly who sees what.
Create a workspace per company, client, or department - each with its own members, projects, and subscription.
Admins manage, editors build, viewers watch. Set roles on the whole workspace, on a team, or on a single project.
Group people into teams and give each team its own projects - or a whole folder of them. Private projects stay private, even inside a shared workspace.
Send a project to any email - a client, a contractor - with exactly the access you choose. No extra seat needed.
Work on one project together. Write in the same AI chat together. Every message, edit, and setting is fully synchronized - live, for everyone, on every device.
Everyone works in the project at the same time - even in the code editor - without lock-outs or "who has the latest version".
Start on the laptop, check from your phone: the same live state follows you everywhere you sign in.
Changes arrive over a live connection the instant they happen. Reloading the page is a habit you can drop.
Every click applies immediately on your device. Syncing happens behind you, not in front of you.
Connection dropped? Your changes queue locally and replay the moment you are back.
The queue survives closing the tab. Nothing you did is lost while you are away.
"I built my entire portfolio site in 20 minutes. My clients think I hired a designer. Already got 3 new inquiries this month."
"We switched from Wix to Playcode. The AI actually understands what we need instead of giving us cookie-cutter templates. Saved us thousands."
"I update my property listings from my phone while showing apartments. Clients are impressed when I tell them I built the site myself."
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Credits are used when AI helps you. Simple edits cost less, complex features cost more.
Most users never run out. 100 credits = lots of building.
Playcode can build the custom web application around your course: curriculum records, lesson pages, learner and operator views, access rules, progress events, tests, and hosting. You still own the instructional plan, factual review, media rights, assessment policy, and decisions about what completion means.
No native LMS is claimed. This page describes a custom course application built with Playcode. If you need an existing LMS, student-information system, video platform, or credential service, connect it through that provider's documented API using your own account and server-side credentials.
Yes, when you define progress as observable records such as a lesson open, required submission, or reviewed attempt. Keep navigation progress separate from mastery, a passing decision, attendance, and certification. Make retries idempotent and preserve the lesson version connected to each record.
Authorize every course, lesson, asset, attempt, progress change, and export on the server. Resolve the signed-in identity, course or workspace membership, role, resource, and publication state. Hiding admin buttons or draft links in the browser is not an access boundary.
You can build objective quizzes, submissions, manual review queues, rubrics, and certificate records. Define attempt limits, scoring versions, reviewer authority, disputes, and revocation first. A generated score or completion record should not be presented as accreditation, learning mastery, or professional qualification without a separate valid basis.
Those paths require separate provider accounts, plans, credentials, privacy terms, and APIs. Email delivery, video hosting or streaming, and payment confirmation should fail independently from course writes. Use verified, retry-safe callbacks and a local reconciliation view instead of assuming one provider response settled access.
Collect only the identity, access, submission, and progress data your program needs. Document purpose, visibility, retention, deletion, and export for each record type. Avoid putting answers, tokens, or payment details in logs, and test requests for access, correction, deletion, and provider removal with fictional data first.
Treat source-code export, course-content export, learner-record export, media portability, and whole-app recovery as separate contracts. Verify the exact runtime data and provider assets you need, then rehearse a restore and compare record counts and version IDs before relying on the process.
No. Playcode helps build and host the application, but enrollment, engagement, completion, learning, certification, retention, and revenue depend on the program, audience, content, instruction, operations, distribution, and external providers. Validate the experience with real users and measure outcomes under a clearly defined policy.
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Describe the curriculum, learner journey, access rules, and completion evidence. Playcode builds the working app so you can test every role before inviting a cohort.
A customer academy with video lessons, exercises, and progress by workspace...Build My Course AppNo credit card required. AI credits included.