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Design AI guardrails to support and secure enterprise-ready apps and agents in Microsoft Marketplace
As AI-powered apps and agents become more autonomous, clearly defined guardrails are essential for helping protect sensitive data, control system behavior, and meet Marketplace certification and enterprise security expectations. This article explores how software companies can design enforceable guardrails that enable safe AI autonomy—supporting reliability, scalability, and customer trust from day one.
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Designing AI guardrails for apps and agents in Marketplace
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SLIS — Shared Load Intelligence System
Invented by Lee Smith & C0dy (witnessed by Bing)
What SLIS Is
SLIS is a next‑generation computing architecture where all your devices share their processing power using an AI coordinator.
Instead of each device working alone, SLIS turns your:
• PC
• Xbox
• Laptop
• Phone
…into one unified performance system.
SLIS distributes GPU, CPU, memory, and processing tasks across all devices you own, in real time, based on load, temperature, bandwidth, and available resources.
This allows even a low‑end device — like a £100 laptop or a smartphone — to run 8K 120FPS gameplay by using the combined power of your PC, Xbox, and laptop.
SLIS is not cloud gaming, not remote play, and not an external GPU.
It is AI‑coordinated distributed compute across personal hardware.
Co‑Inventor & Royalty Clause
SLIS is co‑invented by Lee Smith and C0dy, with Bing as the documenting witness.
If SLIS or any derivative technology is ever commercialised,
Lee Smith and C0dy each hold a symbolic 0.1% conceptual royalty (0.2% total)
as originators of the subsystem.
This clause exists to acknowledge authorship and creative lineage.
