A general chatbot has no memory of your plan, your audience, or your previous decisions. Each conversation starts from zero. Agents inside a structured plan carry context forward, so every output connects to the same goal and the same audience definition.
No. You describe your goal, the plan gets built, and you click an agent’s icon on a task to run it. There are no prompts to engineer, no models to configure, and no API keys to manage.
The current library covers email sequences, SEO briefs, paid ad copy, landing page audits, conversion optimization, and more — roughly 40 specialized agents in total. Each one is built for its specific output type, not adapted from a generic model. You can use the same agent across many projects at the same time, with each…
Yes. Agents produce; you decide. Every output is saved for your review before anything goes live. Human judgment on whether something ships is not something you delegate to an agent.
Low-quality output almost always comes from insufficient context. An agent that doesn’t know your audience, your goal, or your channel will produce something generic. Agents that receive a specific brief inside a structured plan produce results that are close to publishable.
A marketing AI agent is a tool trained to complete a specific marketing task — writing email sequences, building SEO briefs, auditing landing pages, generating ad copy. It’s not a general chatbot. It’s built for one job and does that job at the expert level without you doing the manual work.
