The meta course that ties the rest together. You will build a personal AI tool stack, learn to prompt for consistently usable results, automate the repetitive parts of creative work, and develop a repeatable workflow from idea to finished output. Less about any single tool, more about the durable system that keeps working as the tools change.
Module 1
Audit your workflow and adopt a collaborator mindset.
AI as a collaborator, not a vending machine
The mental shift that changes your results.
Where AI helps and where it doesn't
Use it for the right jobs.
The ethics: IP, attribution, and being honest
Work with AI responsibly.
Building taste: judging AI output well
Know good from generic.
Audit your current creative workflow
Find where AI adds the most leverage.
Module 2
Build a reusable prompt library you trust.
Anatomy of a good prompt
The parts that make prompts reliable.
Context, examples, and constraints
Give AI what it needs to deliver.
Iterating and steering output
Drive toward what you actually want.
Reusable prompt templates
Stop reinventing the wheel.
Build your prompt library
Capture prompts you will reuse.
Module 3
Assemble a personal stack matched to your work.
Text, image, audio, and video tools mapped
The landscape, organized.
Choosing tools for your work
Pick for your needs, not the hype.
Connecting tools into a pipeline
Make tools work together.
Cost, quality, and when to upgrade
Spend wisely.
Assemble your personal stack
Define the tools you will rely on.
Module 4
Automate at least one repetitive creative task.
Spotting what to automate
Find the repetition worth removing.
No-code automation basics
Build automations without coding.
Building an asset pipeline
Move work through stages automatically.
Templates and systems that compound
Make today's work save tomorrow's.
Automate one repetitive task
Build a working automation.
Module 5
Document a workflow playbook you can run every time.
From idea to finished output, step by step
The full pipeline in practice.
Managing projects and assets
Stay organized as you scale.
Staying current without chasing every tool
Keep up without burning out.
Your workflow playbook
Codify how you work.
Final project: document your workflow
Produce a playbook you will actually use.