RoasNova Launches as Open-Source AI Platform for Ad Operations with Human Oversight

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A team of developers has released RoasNova, an open-source advertising operations platform designed to unify fragmented campaign data across channels like Meta, Google Ads, and TikTok. The platform connects campaign performance, conversion data, and verified revenue to generate explainable AI-driven recommendations rather than autonomous actions. Unlike conventional ad tools, RoasNova requires human approval before any campaign changes are executed, with built-in confidence thresholds, budget limits, and immutable audit trails. The system is built as a TypeScript monorepo using Next.js, Fastify, PostgreSQL, and Redis, and currently supports sandbox environments with live ad modifications disabled by default. The project aims to give advertising teams full visibility into why a recommendation is made and what data supports it, addressing longstanding concerns about opaque AI automation in ad management.

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