What problem does it solve? It removes the manual work of monitoring Brazilian retail sector news, curating relevant signals, and publishing them to the Sales-AI platform, while preventing duplicate or retired news items from being republished. ## Core Features & Use Cases - Autonomous macro pipeline: A cron-driven dispatcher checks per-area cadence from a TOML config, runs research, builds a deterministic dossier, curates candidates, and publishes through the canonical Sales-AI MCP writer. - Read-before-write guard: Candidates are partitioned against existing noticias_publicas rows so active URLs are skipped and retired URLs are never reactivated. - Micro news matching: Deterministic signal-to-client matching uses frozen seller rosters with brand aliases, plus a single low-cost LLM self-gate for editorial decisions. - Use Case: Schedule a weekly run that researches the retail and cleaning sectors, curates up to 4 fresh items per area, and publishes them to the Sales-AI news feed without manual intervention. ## Quick Start Ask the agent to run the news pipeline in autonomous mode for the varejo area and publish the curated items to Sales-AI.