Basic
Core Sid interaction, desktop automation, external AI workflows, and lightweight local services.
Local AI: Limited
Asidia // Hardware guidance
Asidia is being designed around different levels of computer capability instead of assuming every user owns an extreme AI workstation.
Workload-aware
Sid can combine ordinary desktop work with external and local AI capabilities. Each workload has different needs, so compatibility is more useful as a profile than a simple pass or fail.
A computer may still be useful for Sid even when it is not ideal for running large local AI models.
Manual diagnostic preview
Choose the closest hardware profile. The calculation stays in this browser session and uses conservative current development guidance.
This manual preview evaluates only the selections you submit. It does not detect or transmit hardware.
Privacy note: this checker performs local evaluation only. It does not detect, upload, store, or analyze your hardware inputs.
Sid readiness
These levels describe the current desktop experience—not a promise that every future capability will run at each tier.
Core Sid interaction, desktop automation, external AI workflows, and lightweight local services.
Local AI: LimitedStrong automation, voice, screen interaction, moderate local AI, and external integration.
Local AI: Smaller / optimized modelsHeavier local workloads, capable vision or reasoning options, and greater multitasking headroom.
Local AI: StrongUsed only when the current desktop baseline is not met, with the limiting factor and next step explained.
No hardware shamingPlain-language hardware
Each component contributes differently. A single expensive part does not define the entire Sid experience.
Handles general application logic, desktop tasks, background services, and non-GPU workloads.
Provides working memory for Sid, Windows, applications, and local AI services.
Accelerates supported AI workloads, computer vision, and some future or local features.
Often determines which local AI model or accelerated workload can fit at one time.
Fast storage improves application and model loading, file workflows, and responsiveness.
Examples, not guarantees
These illustrative systems show how the guidance is intended to scale. They are not final requirements or benchmark promises.
Core Sid experience with external AI assistance.
Strong Sid experience with useful local AI options.
Greater local AI flexibility and multitasking headroom.

Accessible by design
If your computer is not suited to heavier workloads today, Sid's architecture can still favor practical alternatives.
Explicit and user initiated
A future trusted Asidia tool may inspect hardware locally and recommend a configuration. A normal browser cannot reliably identify all CPU, GPU, RAM, and VRAM details, so this page does not fake detection.
The long-term design favors local inspection, minimal data collection, clear consent, no unnecessary telemetry, and no hidden fingerprinting.
Development telemetry

Asidia compatibility
Current guidance will evolve as Sid becomes more efficient and real-world testing expands.