Italian Dev Rebuilds Energy Comparator Around AI Agents After PDF Parsing Failures

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An Italian developer running a tariff comparison site called SwitchAI initially planned to parse user-uploaded energy bills with custom code, but found the approach broke across different provider formats on shared hosting with limited tooling. Testing ten real bills through Claude, GPT, and Gemini revealed all three LLMs extracted key data perfectly with zero custom logic, prompting a full architectural rethink. The platform was redesigned so AI agents handle bill parsing and user interaction, while SwitchAI's backend focuses solely on comparing over 5,600 ARERA-regulated offers and returning structured results. To protect user privacy, the API accepts only anonymised consumption figures — never personal details — with PII held in the LLM's context and used only client-side for prefilling activation URLs. The developer argues this pattern, where LLMs serve as the input layer and call a purpose-built tool for domain logic, is broadly applicable beyond energy comparison.

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