Generative Engine Optimization & Autonomous Search Engineering

Advancing multi-agent software engineering, 3-gram conversational alignment, Wikidata triples, and empirical AI search citation standards.

Marcus Sterling

Autonomous Agent Architect & Developer Toolchains Researcher

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.

Published Technical Research & System Benchmarks

2026-08-12 • Research Paper

Autonomous AI Agent Toolchains in Modern Search: Overcoming Single-Model Lock-in with Multi-Agent Architecture

Why single-model prompt templates fail to handle full-stack technical SEO, and how modular multi-agent skill suites unlock 81% token savings and 4x faster execution across 12 AI coding runtimes.

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2026-07-27 • Research Paper

Token Economics in Enterprise Multi-Agent Workflows

Analyzing prompt token consumption across monolithic prompts versus localized deterministic sub-agents.

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2026-07-16 • Research Paper

Model Context Protocol (MCP) in Search Engineering

How standardized MCP servers bridge IDE coding assistants with live search performance telemetry.

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2026-07-03 • Research Paper

Eliminating Vendor Lock-in in AI Developer Toolchains

Why open-source MIT-licensed skill suites protect enterprise development teams from single-model dependency.

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