Building an Energy Comparator Designed to Be Read by AI Agents Before Humans

Short summary

SwitchAI's creator discovered LLMs outperform custom PDF parsers and redesigned the product with agents—not humans—as primary users. The article covers agent-first patterns: securing PII at API boundaries, writing tool descriptions for literal-minded models, defending against plausible hallucinations, and exposing APIs via REST, MCP, and WebMCP. Includes real-world SEO for AI discoverability (llms.txt, webmcp.json) and guard rails embedded in tool descriptions.

• •Redesigned product architecture to prioritize AI agents as primary users after discovering LLMs outperform custom PDF parsing logic
• •Practical patterns for agent-facing APIs: PII handling, defensive tool descriptions, hallucination-resistant design, MCP/WebMCP integration
• •AI discovery strategy (llms.txt, webmcp.json, OpenAPI) to ensure models can find and correctly call your API

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