AI at the core
A disciplined, integration-ready approach: local agent, policy controls, and verifiable outcomes—built to fit real environments without vendor lockin or revealing internals.
Architecture overview
WizzSpinAI uses a local optimization agent designed to run quietly in the background. It observes system signals, models headroom, and proposes microtuning steps under policy constraints. Actions are applied through documented system controls, never relying on undisclosed or unsafe methods. Every change is verified and unsuccessful adjustments autorevert to a safe baseline. Profile updates can refresh to reflect evolving workloads while preserving proprietary techniques.
- Runs as a background service with minimal footprint.
- Interfaces through documented system pathways no vendor lock-in.
- Optional profile refresh to stay current with workloads.
- Local-first, optin telemetry to improve decisions while protecting privacy.
- Automated verification and rollback guard stability.
Use case integration
Gamers & Esports
Background optimization that adapts to titles and conditions, aiming for consistent performance without manual tweaking or disruptive changes midsession.
OEMs & Developers
Bundle or extend the approach at the product level. Policydriven profiles help deliver predictable, safe results in diverse hardware mixes—without entangling your stack.
Institutions & Labs
Controlled change windows, clear auditability, and safe reversion paths enable trials and pilots with confidence, even in tightly governed environments.
Security & safety
Security and safety are foundational. Binaries are codesigned; usermode processes follow leasprivilege principles; and the approach avoids kernel drivers in its initial scope. Optimization actions are guarded by hard limits, automated verification, and timed rollback to stable baselines. Telemetry is minimized and opt-in, supporting privacy by design. The result: measurable improvements pursued within disciplined boundaries that respect both systems and users.
- codesigned releases secure updates.
- Least-privilege split between interface and worker.
- No kernel driver in initial scope.
- Verification and rollback by default.
- Opt-in telemetry data minimization.
Targets & coverage goal
Median FPS uplift (target)
+10% median FPS on representative midrange rigs is our validation target for v0.1. Actual results vary by system and workload.
Desktop coverage (goal)
≥60% of common desktop configurations passing full optimize flow is our initial coverage goal; graceful fallback elsewhere.
Curious about integration?
Let’s discuss pilots, technical fit, and validation plans.