01 · Scope
What QEVARO is
QEVARO is an AI-assistant project developed under Petrutban Technologies. Its public layer documents product direction, release status, limitations, architecture and official sources while the core service remains in pre-release development.
02 · Request path
A deliberately layered pipeline
The architectural direction separates request handling, policy and safety checks, model or tool orchestration, result processing and response delivery. The exact implementation may evolve as the project is tested.
- Request intake and validation
- Policy, safety and abuse controls
- Model and tool orchestration
- Result checks and formatting
- Response delivery and operational telemetry where enabled
03 · Safety
Controls are part of the system boundary
Safety is treated as an architectural concern rather than a decorative layer. Public documentation distinguishes intended controls from guarantees and avoids implying that a pre-release system has been exhaustively validated.
- Input and output policy enforcement
- Abuse and rate controls
- Tool-permission boundaries
- Failure handling and conservative fallbacks
- Documented limitations and release-state disclosure
04 · Privacy
Data minimisation by default
The public website and QEVARO documentation are designed to minimise unnecessary collection. Optional website analytics is disabled until consent. A future QEVARO service may require additional processing for a requested function; any such processing must be documented separately before public availability.
05 · Governance
Release state and evidence remain explicit
Architecture pages, release records and status surfaces describe what is documented, what is currently available and what remains experimental. Changes are expected to be dated and traceable rather than silently presented as long-standing capability.
06 · Limitations
Architecture documentation is not a benchmark
This page does not prove model superiority, uninterrupted availability, a public API, a service-level commitment, security certification, or readiness for consequential use. Model behavior can be incomplete, incorrect or context-sensitive.
07 · Evolution
The design may change before release
Pre-release architecture is intentionally revisable. Components, providers, routing strategies, safeguards and access conditions may change as testing reveals better approaches or new constraints.