Local AI on Windows: what to check before choosing an app
Understand local models, optional cloud providers, hardware requirements and data handling in Windows AI apps.
Separate the app from the model
A desktop interface can use bundled local tools, a separately installed local model or a remote provider. Check each function rather than assuming the whole application is offline. Some document or code tools can run locally while optional chat requests use a configured online service.
Match hardware to the workload
Reading and editing a dataset, running a model and training one have different memory, storage and processor requirements. Model files can be much larger than the app installer. Look for explicit supported hardware and tested model formats; do not infer GPU compatibility from a general Windows label.
Review what leaves the computer
Before connecting a provider, review the selected text, attachments and account settings. Use a small non-sensitive example first. Provider subscriptions, API usage and downloaded model licences can have separate conditions from the desktop app purchase.
Keep useful outputs portable
Save original files and check the formats available for exporting prompts, documents, reports or datasets. Treat generated statements as drafts to verify against sources. IndepApps is preparing Windows editions of MultiAgentOS, LLM Browser, Alembic and LLM Academy; their individual release pages distinguish current status from future availability.