Begin with the goal
Understand what the technology can help you do in ordinary language.
Learn with Pineframe
Technology explained
before the jargon begins.
Clear explanations for useful technology—what it does, what actually matters, and what you can safely ignore until later.
A calmer place to begin
No glossary required before you start.
Pineframe learning pages begin with the practical question. Technical terms are introduced only when they help you understand a choice or complete a useful task.
Learn what matters
Focus on the few details that meaningfully change your decision.
Choose a sensible next step
Finish with a practical action rather than another list of things to research.
Featured guide
A practical place to begin.
Beginner guide
Can My PC Run AI?
Learn what GPU, VRAM, RAM and processor performance actually mean for local AI, without reading hardware benchmarks or learning technical abbreviations first.
Read the guide- Get the answer in 30 seconds
- Understand what your hardware can do
- Separate useful facts from common myths
- Find a sensible next step
Continue from here
Tools and guided next steps.
Local AI vs Cloud AI Agents
Understand where AI runs, how assistants differ from agents, and which approach fits your needs.
Read the guide →What Can You Actually Do With Local AI?
Practical and surprising ways to use a private AI assistant on your own computer.
Read the guide →Check your own PC
See what your computer is realistically suited for without reading hardware benchmarks first.
Open the PC checker →Set up a local personal AI
Follow one clear route from installation to a working private AI on Windows.
View the guided setup →Why technology feels harder than it needs to
See how Pineframe turns technical subjects into manageable next steps.
Read about Pineframe →Coming to the library
One clear question at a time.
These are the first planned explanations. They are shown here to make the direction of the library clear, not as links to unfinished pages.
What is VRAM?
What graphics memory does, why local AI uses it, and how much you actually need.
What is LM Studio?
A plain-English introduction to running and using AI models on your own computer.
What does running AI locally mean?
How local AI differs from an online service, including privacy, cost and limitations.
What is a GGUF file?
Why model downloads use unfamiliar file names and which details beginners can ignore.
Do I need an NVIDIA graphics card?
What a GPU changes, what can still run without one, and when upgrading is unnecessary.
Technology terms, translated
Short explanations for the abbreviations and technical phrases that stop people getting started.
A practical first step