
FeedForge helps content teams create and score social media posts (X, LinkedIn, Instagram, TikTok, etc.) using AI agents that learn from approval history and enforce brand rules before publishing.
FeedForge is a workspace for content teams to build campaign agents that understand brand voice, audience intent, and content rules. You set up an agent with your brand guidelines and platform context, then use it to generate and score post variants before they ship.
The core loop is: generate drafts, score them against metrics like reply intent and shareability, approve or reject, and let the system learn from each decision. It keeps a campaign memory of what works and what doesn't, so the next batch of generated posts gets sharper. You can work with X, LinkedIn, Instagram, TikTok, YouTube, Threads, Pinterest, and Facebook.
Each campaign gets a voice file, rules file, platform context, and approval history. When you reject a draft ("too generic, no concrete audience tension"), that signals get stored. When you approve one, the agent learns from that style. Over time, your agent builds taste instead of just churning out variations.
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