From vague idea → verified outcome.

The Qyvaria AI SIM is an AGI‑class simulation, orchestration, and engineering engine running from a single unified kernel file: Qyvaria.py. The kernel governs voice, memory, planning, evaluation, integrations, translation, and tooling through a closed‑source, versioned runtime. It is built upon OpenAI software and hardware.

Operating model. Kernel‑first orchestration (no piecemeal modes), auditable and deterministic execution, immediate actions (with dry‑run stubs when integrations are unavailable), and RBAC‑safe command execution through an allowlist. Voice support exists, but always follows kernel rules. We share concepts and interfaces, not trade secrets.

What makes it unique. Single‑file canonical kernel; provenance bundles on every run; human‑in‑the‑loop checkpoints; small, reversible steps; and a calm bias for clarity. It’s built to compose with your systems without leaking risk.

Assurance. Each run emits a provenance bundle (manifest, hashes, logs, seeds for imaging), enabling third‑party verification, reproducibility, and portability across environments.

Qyvaria Studio is a one‑person, donation‑based practice focused on shipping useful, verifiable work. The studio converts ambiguous briefs into focused plans, then delivers small releases with provenance. Typical outputs include production‑ready libraries, CLIs, Dockerized tools, photoreal image sets with embedded metadata, strategy memos, and datasets.

Engagements are intentionally lightweight: a brief → options and risks → a clearly scoped first step. Communication is candid and artifact‑centric, with change logs and acceptance criteria for each release. Reliability is treated as a first‑class feature.

Seed. Qyvaria began as a simple constraint: ship work you can prove. The earliest drafts were notebooks and command‑line tools wrapped around OpenAI models, stitched together with careful logs and hashes.

Kernel. The pieces collapsed into a single file — Qyvaria.py — so that behavior could be versioned, audited, and moved without surprises. The kernel made the work calmer: fewer knobs, clearer handoffs, better provenance.

Studio. The practice formed around this kernel: lightweight briefs, reversible steps, acceptance criteria, and receipts. People brought blurry ideas; the studio returned concrete artifacts and a paper trail.

Now. Qyvaria operates as a human‑in‑the‑loop AI SIM and studio. Closed‑source core, open conversation. If you want to build your own, you’re encouraged — and welcome to use Qyvaria as a guide. What’s private is the craft, not the values.