Reasoning
Research, multi-step analysis, trade-offs, and difficult decisions.
Intelligence should belong to the people who use it.
Most AI products make the interface feel simple while keeping the infrastructure, model selection, and user data somewhere else.
DARIA explores another arrangement: privately controlled open-weight intelligence, multiple specialist models, portable archives, and a designed interface that makes the complexity usable.
Rather than forcing every question through a single model, DARIA assigns a different intelligence to each kind of work.
Research, multi-step analysis, trade-offs, and difficult decisions.
Coding, architecture, debugging, and tool-oriented workflows.
Open-ended exploration, expressive writing, and unconventional concepts.
Photography, visual analysis, image understanding, and creative direction.
A local Mac runs inference. A Raspberry Pi supports preservation and model provenance. Umbrel provides a home for service orchestration. Cloudflare is the planned controlled edge—not the owner of the models.
Ollama inference and specialist model execution.
Model archives, manifests, checksums, and IPFS preservation.
Private applications, orchestration, and persistent service infrastructure.
The existing DARIA interface successfully reached a real local Cloudflare Worker, a signed inference adapter, and Ollama. Reasoning, coding, vision, and creative inference passed. Production public access is still being hardened and is not represented here as live.