1. Introduction
2. Team Structure3. Process Flow
3.1. Module Learning & Experience Design
3.2. Individual Flow Design
3.3. Narrative Design & Skills Mapping
3.4. New Assets Creation
3.5. Annex: World Building - Learning & Experience Design
3.6. Annex: World Building - Story Design
3.7. Process Flow Conclusion4. Caveats
4. Caveats5. LLM Prompt Engineering Techniques
5.1. Use The Latest Model
5.2. Zero-shot Prompting
5.3. Few-shot Prompting
5.4. Chain-Of-Thought Prompting
5.5. Structuring Prompts
5.6. Describing Prompts
5.7. Editing Prompts
5.8. Extending Responses
5.9. Multiple Users Collaborating6. Text-to-Image Prompting Engineering Techniques
6.1. General Techniques
6.2. Photography
6.3. Architecture
6.4. Various Aesthetic Styles
6.5. Product & Material5.9. Multiple Users Collaborating
When multiple designers collaborate on a single module, an efficient method for sharing sufficient relevant information with ChatGPT is necessary to initiate a new working session.
To do this, create a new chatroom and input the following prompts.
We are designing a learning module. In the next few prompts, I will be sharing information about this module that we will use for our continued discussion. There is no action required until I say so.
Module information: ###
[Insert ERD module overview information - name, module description, skills, learning points, characters, environments (This should be a simple copy and paste from ERD)]
###
Here is more information. There is no action required until I say so.
Individual flow information: ###
[Insert ERD individual flow information - flow description, skills, learning points, characters, environment (This should be a simple copy and paste from ERD)]
###
The overall recommendation is to provide ChatGPT with as much information as possible from the ERD. There is no need to restructure the data; simply copy and paste the content directly from the ERD.
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