Case study
An e learning and digital product platform covering AI courses, prompts and automations, including a 15 lesson beginner course.
Proposed architecture; original stack not verified.
Photography shows industry context, not the client’s premises or a product screenshot.
The context
The learning platform is a delivered e learning and digital product platform. Its material spans AI courses, prompts and automations.
The learning offer includes a 15 lesson beginner course. Courses, reusable prompts and automations serve different learning needs within one platform.
The challenge
Organize AI courses, prompts and automations within an e-learning and digital product platform.
Give beginners a defined 15 lesson course rather than an unstructured collection of materials.
Keep reusable prompts and automations connected to practical learning.
The solution
Delivered functionality and implementation boundaries.
01
A course provides a sequence of learning material, while a prompt is a reusable instruction and an automation is a workflow artifact. The platform brings those different product forms together. Their differences matter because navigating a lesson sequence is not the same task as finding a reusable prompt.
02
The 15 lesson beginner course gives the platform a defined learning sequence. It provides a bounded starting point within the wider collection of AI learning and digital products, helping a learner distinguish the course from standalone prompts and automations.
03
Prompts support practical work alongside course material. They provide a starting point for an AI interaction rather than a guarantee that a model will return an accurate answer. Their useful role is to make an intended task explicit enough for a learner to examine and adapt.
04
Automations connect learning to repeatable workflows. The platform includes this category alongside courses and prompts. Courses explain the concepts, prompts provide reusable instructions, and automations connect those instructions to recurring tasks.
Core functionality
Technical implementation
A representative architecture uses structured course, lesson and digital-resource records in PostgreSQL, a Next.js learning interface and object storage for downloadable material. The confirmed scope is AI courses, prompts, automations and a 15-lesson beginner course. The stack shown here is an implementation proposal, not verified historical evidence.
Next.js · PostgreSQL · Object storage
Business impact
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Representative stack: React · TypeScript · Node.js
View Case StudyTell us where the current process breaks down. We can map the workflow, examine the integration requirements and define a practical scope for the build.