About Sterling AI Research

Marcus Sterling is a developer infrastructure engineer specializing in agentic workflows, Model Context Protocol (MCP) toolchains, and multi-runtime search optimization across Claude Code, Cursor, Windsurf, and Antigravity.

Research Mission & Methodology

Our laboratory investigates the intersection of autonomous artificial intelligence, information retrieval architectures, and Generative Engine Optimization (GEO). By developing zero-telemetry local testing suites and deterministic static analysis tools, we empower software engineering teams to optimize technical search hygiene without vendor lock-in.

Core Competencies

• 3-gram conversational prompt alignment and n-gram proximity modeling.
• Wikidata Subject-Predicate-Object triple validation and Schema.org compliance.
• Information Gain mathematical modeling (USPTO 11,562,019 B2).
• Automated llms.txt generation and transformer attention zone architecture.