Best for
Certification providers, enablement teams, bootcamps, and independent instructors shipping paid or repeatable course programs.
Certification Course Studio
CourseDraft
From certification source to publishable course
Turn certification materials into an interactive course you can publish, revise, and sell.
CourseDraft gives course teams one operating lane: bring the PDF or training brief, generate the first structured draft, keep revising in the workspace, and publish proof pages when you are ready.
Publishable course pagesPrivate revision laneSource-first workflow
What this homepage is for
This is not a generic AI lesson demo. It is the fastest way to pressure-test whether your existing training material can become a buyer-ready course without rebuilding everything by hand.
Source in
Certification manuals, SOPs, syllabi, workshop decks, onboarding docs, and rough training briefs.
Proof out
Structured scenes, quiz checkpoints, a public proof page, and a revision-ready workspace.
Why this wins
You keep one course system across draft, proof, revision, and commercialization instead of restarting from scratch every launch.
Direct-start workbench
Start from the source you already have
Paste the course brief, attach a PDF if you have one, choose the output language, and let CourseDraft build the first revision-ready course draft.
01Course brief02Source PDF03Build first draft
Include the topic, learner level, business context, and what the course should help someone achieve.
Attach a syllabus, slide deck, workshop packet, or any training PDF that should become part of the draft.
Choose the language for the generated course draft.
Sign in to save drafts, sync revisions, and spend your starter credits.
Use the free lane to pressure-test the workflow on real material. Move to paid when you need private workspaces, recurring credits, and a production system your team can keep using.
Sample outputs
The proof layer should look like something a buyer can trust
Browse the public examples the same way a reviewer, client, or cohort lead would. If the public layer feels weak, the workflow is weak. If it feels clear, the workspace earns trust.
No public archive is live in this environment yet, so these editorial examples show the kind of proof layer the product should create once real courses are published.
Public exampleEnglish
ISO 27001 auditor onboarding sprint
Turn a certification handbook and workshop outline into a public proof course for partner auditors before you open the paid cohort.
Scenes
12
Updated
Apr 14, 2026
Scene preview
01
Standard map and evidence trail
Condense the clauses, audit scope, and evidence expectations into a learner-facing opening scene.
02
Finding severity simulation
Walk through sample findings, risk grading, and remediation conversations so the learner can practice decisions.
03
Readiness checkpoint
Finish with a scored checkpoint that shows who is ready for the live audit review.
Private-readyFrançais
Customer onboarding academy for a B2B platform
Package setup docs, rollout steps, and common blockers into a French-facing proof course the buyer can review before onboarding.
9 scenes/Apr 10, 2026
Start from a similar patternPublic exampleEnglish
Internal trainer certification for field enablement
Convert facilitator notes and SOP updates into a repeatable internal certification lane without rebuilding the curriculum each quarter.
8 scenes/Apr 6, 2026
Start from a similar patternEditorial guide
CourseDraft should explain the whole operating model, not just show a prompt box
A useful homepage has to make the workflow legible: what source goes in, what publishable structure comes out, what stays private, and where the proof layer fits.
01Bring the material the course already lives in
02Generate the first publishable structure fast
03Keep one system across draft, proof, and revision
01Source in
Bring the material the course already lives in
Start with the manual, syllabus, onboarding packet, or certification brief you already have instead of forcing the team to restate the course from zero.
02Proof out
Generate the first publishable structure fast
CourseDraft turns source material into scenes, checkpoints, and a public-facing course shell that is ready for review instead of staying as a rough AI blob.
03Why this wins
Keep one system across draft, proof, and revision
The useful part is continuity. Public pages, private workspace edits, and reruns should all point back to the same course asset.
04Best for
Made for repeatable course operations
This fits teams that publish certification prep, customer education, onboarding, or training programs more than once and need a workflow they can keep running.
What the product actually includes
This is a small course operating system, not a prettier text box.
Once a team moves past the first AI demo, these are the pieces that actually matter.
One workbench entry
Start from one brief and an optional PDF instead of bouncing between disconnected tools and local notes.
Scene-level course structure
The draft is organized as scenes and checkpoints, so review happens against a real teaching flow rather than a wall of text.
Public proof pages
Selected courses can become shareable proof pages that help buyers, reviewers, and search traffic understand what the product really outputs.
Private revision workspace
Teams can keep commercial or internal work off the public web while still using the same course asset and revision history.
Reruns without losing the draft
You should be able to improve the course iteratively without throwing away the structure, scenes, and context that already work.
Multilingual output lane
Choose the output language up front so the first publishable draft already matches the market or classroom you serve.
Before you commit
The practical questions people ask before moving a real course workflow
These are the questions that decide whether this stays a demo or becomes the system you ship with.
01
Do I need a polished curriculum before I start?
CourseDraft is built for the messy middle. Bring the PDF, the workshop deck, the compliance handbook, or the rough outline you already teach from.
02
When should something stay private instead of becoming a public example?
Use public pages as proof and discovery. Keep paid cohorts, internal enablement, and client revisions inside the private workspace lane.
03
What is different from a generic slide or lesson generator?
The goal is not just to generate text. The goal is to produce a course asset you can review, revise, publish, and reuse without losing the thread between versions.
Run the real test
Put one real course through the workbench and the product will make sense fast
The right evaluation is not whether AI can generate words. It is whether the first draft is publishable, revisable, and commercially usable with the material you already own.