Dev builds 145ms visual evidence search layer optimized for AI agents
RichardsonDx · x · 2026-08-26
The author released a visual evidence search tool designed specifically for AI agents to address issues with poor quality, irrelevant, or slow visual content retrieval. It creates a source-grounded search layer that fetches charts, diagrams, tables, and maps from reputable domains (e.g., Finance, Energy, Public Data) and returns a JSON response with the visual, source, and reasoning context in approximately 145ms. By using content engineering, it removes the need for vision models or OCR, ensuring extreme speed. The tool offers MCP, CLI, and REST API interfaces. While currently used to equip agents with supporting visuals for tweets, it holds potential for broader use cases requiring high-quality visual data.
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