From zero to your own AI, in four levels
thecontinuitylayer.com/open/learnChecked 6 November 2026. US dollars. No affiliate links.
No coding needed for levels one and two. Each step ends with something you can do, not just something you know. Free, no sign-up.
Level 1: Understand your options
Twenty minutes. You will know what you are choosing between, and what each choice costs you.
- 1.1Open weight, open source and the rest
Read any model's license and know what you may do with it
- 1.2What "uncensored" AI really means
Tell a maker's model from a community retune, and know what changes
- 1.3Local or hosted: the honest trade-offs
Decide whether running your own is worth it for you
- 1.4Are Chinese models safe?
Know where your words go with Qwen, DeepSeek, GLM and Kimi
Level 2: Get started
One evening. You will have a model running on your own computer and a chat window on top of it.
- 2.1Run your first local model
A private model answering you, offline, in about fifteen minutes
- 2.2Model sizes and quantization
Look at any download and know whether it will fit
- 2.3Pick a model with the finder
The right model for the memory you have
- 2.4Pick your app
Ollama, LM Studio, Jan or Open WebUI, chosen for how you work
- 2.5Why is it slow or broken?
Fix the five problems almost everyone hits
- 2.6The hardware guide
Know what your computer can run, and what to upgrade if you want more
Level 3: Take control
Make the model behave your way and work on your own files.
- 3.1Switch models, keep your context
Your instructions and notes in one file that any model can read
- 3.2System prompts and custom models
Save a model with your own standing instructions
- 3.3Chat with your own documents
Ask questions of a folder of PDFs without uploading them anywhere
- 3.4Updates and new versions
Swap in a newer model without losing your setup
Level 4: Build your own AI environment
From one person's chat window to a setup the household, or the business, can use.
- 4.1Give your AI a memory it keeps
A record your AI reads first and writes to last, whichever model you run
- 4.2When to rent a GPU instead
Run the big models by the hour without buying hardware
- 4.3One key for every model
Mix local models with hosted ones behind one API
- 4.4A local AI server for the house
Open WebUI with accounts, on one machine everyone can reach
- 4.5Agents on local models
Tools and automations that never leave your network