Walkthrough · Platform Overview
How does Cloudwise use AI to transform learning?
Discover how an AI native pipeline and multi model routing create a superior educational experience.
Most educational tools treat AI as a bolt on feature, but Cloudwise is built as an AI native environment. By integrating a specialized tutor named Erwin and a unified pipeline that routes to six different AI providers, the platform ensures learning is active rather than passive and remains adaptable regardless of which AI model is currently trending.
Next step
What you will learn
- Understand the role of Erwin the AI tutor in active learning
- Identify the components of the Cloudwise all in one pipeline
- Recognize the six AI providers supported by the Cloudwise engine
Lesson steps
How does AI native learning work in Cloudwise?
Learning is active and guided by a specialized AI tutor rooted in course material.
In Cloudwise, AI native learning means that the experience is not passive. Instead of just reading or watching, you are creating real prompts and receiving real advice from a dedicated AI tutor known as Erwin.
What distinguishes Erwin from general chatbots is that this AI is rooted directly in the course material. This ensures that the guidance provided is not random or general, but is spot on every time because it draws specifically from the lesson content.
It is like having a teaching assistant who has memorized every page of your specific textbook and only gives answers based on those pages, rather than a general tutor who guesses based on the whole internet.
Classroom version: When a student asks Erwin about a concept, the AI references the exact module they are studying to provide a precise answer.
Try it: Ask Erwin a specific question about the current module to see how it references the course material.
The AI native approach ensures learning is active and advice is rooted in content.
What is included in the Cloudwise platform pipeline?
A single unified platform that handles the entire educational lifecycle.
Cloudwise operates as an all in one platform, meaning the whole entire pipeline exists in one place. This eliminates the need to bring in 50 or 11 other tools to manage a course.
Users can handle every stage of the process by themselves, including:
- Creating the content
- Teaching the material
- Assessing learner progress
- Issuing credentials
- Embedding the experience
It is like a professional kitchen where the ingredients, prep station, stove, and plating area are all within arm reach, rather than having to move between three different buildings to cook one meal.
Classroom version: A creator builds a lesson, tests it with students, and issues a certificate without ever leaving the Cloudwise dashboard.
Try it: Map out your current tool stack and identify which steps can be consolidated into the Cloudwise pipeline.
The unified pipeline removes the friction of using multiple external tools.
Which AI providers does Cloudwise route to?
A single AI engine that routes requests to six different industry leading providers.
Cloudwise utilizes one central AI engine that routes to six different providers. These providers include:
- OpenAI
- Claude
- OpenRouter
- Cerebral
- Grok
- Gemini
This architecture allows users to pick the best model for their specific task or select the most budget friendly option. This design is specifically built to outlast whatever model happens to be the pick of the month.
It is like a universal remote that can control every device in the room, allowing you to switch from a high end cinema mode to an energy saving mode instantly.
Classroom version: A creator might use a powerful model for complex assessment and a budget friendly model for simple student queries.
Try it: Compare the output of two different routed models for the same prompt to find the best fit for your content.
Multi model routing ensures flexibility, budget control, and future proofing.
Transcript
- 0:00 There are three things that set Cloudwise apart from everybody else. I'm going to let you know
- 0:04 those right now. Number one is obviously the AI native. Learning just is not passive here. You're
- 0:09 going to be creating real prompts and you're going to be getting real advice from a real AI tutor
- 0:13 who we like to call Erwin. And what I really like about it is it's not just general random advice.
- 0:18 This AI is rooted directly in the course's material so you know that your advice is going
- 0:22 to be spot on every time. The second reason that it's so different from everybody else is because
- 0:27 it's just one platform. This is the whole entire pipeline in one place. You do everything yourself
- 0:32 whether that's creating it, whether that's teaching it, whether that's assessing it, whether that's
- 0:36 issuing credentials or even embedding it. You do that all by yourself and you don't have to bring
- 0:41 in 50 11 other tools. Number three is definitely my personal favorite. This is one AI behind all
- 0:47 this and this one AI routes to six different providers. It goes to OpenAI, Cloud, OpenRouter,
- 0:54 Cerebral, Grok, and Gemini.
- 0:57 And the reason that's so nice is because you can pick the best model for what you're working on
- 1:02 and you can also pick the most budget friendly for what you're working on. Honestly this is just
- 1:07 built to outlast whatever model is the pick of the month. Next up we're going into that AI engine
- 1:11 itself so you're going to want to be here to see that.
Questions
Who is Erwin?
Erwin is the AI tutor in Cloudwise that provides advice rooted directly in the course material to ensure accuracy.
Why does Cloudwise route to multiple AI providers?
Routing to six different providers allows users to choose the best model for their specific task or the most budget friendly option, ensuring the platform outlasts any single trending model.
Glossary
- AI Native
- A system built from the ground up with AI as a core component rather than an added feature.
- Pipeline
- The end to end process of creating, teaching, assessing, and credentialing within the platform.
- Routing
- The process of directing a request to one of several different AI model providers.
Resources
- Explore the AI Engine Learn more about how model routing works in practice.