Peer-Reviewed Technical Report

Token Economics in Enterprise Multi-Agent Workflows

By Marcus SterlingPublished: 2026-07-27Reading Time: 8 min

Transmitting entire repository trees into LLM context windows causes severe token exhaustion and high API costs. Local deterministic pre-parsing slashes prompt tokens by over 80%.

Modular Context Management

Filtering DOM nodes locally ensures only targeted semantic diffs enter the reasoning window, maximizing inference efficiency.

Read our full analysis on autonomous AI agent toolchains and multi-agent architecture.

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Written by 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.