AI agents that do the marketing production work, so your team doesn't have to.

Dynamically pulls in a brand's existing creative variations and their performance data, then — working within defined brand guidelines and informed by what's actually performed — generates new ad variation copy. A feedback loop analyzes campaign performance after the fact and feeds specific, falsifiable learnings (like "headlines leading with a number outperformed generic ones") into the next generation cycle. A non-technical intake path converts freeform notes — pasted from a notes app or doc — into the structured brief the agent needs, so no one has to hand-write a campaign spec to use it. Every output matches the exact character and word limits for its destination platform, and new variations are written directly into a Y/N review spreadsheet — nothing is exported for upload until a human marks it approved.

Drafts multi-touch outbound email sequences from an ICP brief — reusable templates built around merge-tag personalization and one clear call to action per email — then classifies every inbound reply into one of nine sales-relevant categories, from genuine interest to an unsubscribe request, so a rep only spends attention where it's actually needed. A confidence check runs independently of the model's own output: any classification it isn't confident about is automatically routed to a human rather than guessed at. Interested replies are compiled into a separate follow-up list so real buying signals get acted on fast. Every reply, in every category, lands in a human review queue — nothing sends or updates a CRM record on its own.

Generates a reviewed, pre-approved library of chatbot responses for a website chat widget — pricing questions, demo requests, common objections, and competitor comparisons — plus two dedicated guardrail scenarios for when the bot shouldn't attempt an answer at all, so there's always an honest, pre-approved way to hand a conversation off to a person. A code-level check independently verifies that every guardrail response actually contains the human-handoff instruction, rather than trusting the model's own compliance. This is a batch content-generation system by design, not a live conversational agent — every response a visitor could ever see was written and reviewed in advance.