Fit
Record RAM, GPU and dedicated VRAM, free storage, and normal background memory use before choosing a model.
PRIVATE & LOCAL AI
Local AI on Your PC Guides
Start with the computer you already own, choose a model that fits comfortably, prove the workflow works, and judge privacy by the path your data actually takes.
A practical local-first sequence
Useful local AI is not about loading the largest model possible. It is about matching the tool to the task, keeping enough memory headroom, and understanding which parts of the workflow are local and which are not.
Install
Use one mainstream desktop route first, download one model that fits comfortably, and keep the setup deliberately narrow.
Verify
Confirm the selected model is local, learn where chats and files are stored, and test the intended workflow while disconnected if offline operation matters.
Use
Build repeatable jobs such as drafting, extraction, controlled rewriting, document questions, and format transformation.
Tighten
Reduce unnecessary online features, control sync and backups, separate user accounts where needed, and keep the boundary explainable.
Review
Re-run a small benchmark after meaningful changes and upgrade hardware only when a measured bottleneck justifies it.
FREE PRACTICAL GUIDES
Start with the problem you have today
LOCAL AI GUIDE
Can My PC Run Local AI? A Practical RAM, VRAM and Model-Size Check
Start with the PC you already own. Record RAM, GPU/VRAM and free storage, then choose a model class that leaves useful headroom instead of loading the largest model that can technically start.
Read the guideLOCAL AI GUIDE
How to Set Up Local AI on Windows With LM Studio
Use one desktop application, one modest model, and one repeatable task. Download, load, test, verify, and record what worked before exploring advanced settings.
Read the guideLOCAL AI GUIDE
Does Local AI Keep Your Data Private? Check the Real Privacy Boundary
Local inference answers where model generation happens. It does not answer where chats, files, backups, web tools, plug-ins, or other copies go. Follow the data path before making a privacy claim.
Read the guideLOCAL AI GUIDE
How to Use Local AI With Private Documents Without Assuming It Read Everything
Document chat can be useful without sending the source to a remote AI inference service, but retrieval may show the model only selected passages. Test what it can find before trusting what it summarizes.
Read the guideLOCAL AI GUIDE
Local AI Slow, Freezing or Out of Memory? Troubleshoot in This Order
Change the cheapest variable first. Close heavy apps, start a fresh chat, reduce context, check GPU offload, try a smaller quantisation or model, then consider updates or hardware.
Read the guidePLAIN-ENGLISH BOOK
Private AI on Your PC
The book covers local-versus-cloud decisions, RAM and VRAM, model size and quantisation, LM Studio, Jan and Ollama, private document chat, privacy checks, troubleshooting, small-business use, model provenance, network exposure, personal benchmarking, update strategy, worksheets, prompt templates, and an offline verification test.