how to do marketing with GPT 6 Astra give it the context, data and tools to work on your marketing here is the setup: 1. knowledge layer (company / second brain) keep your company information, audience research, offer, brand voice and past campaigns in a markdown wiki the agent can read 2. data warehouse store your marketing data in a postgres database so agents can check campaign performance and compare results 3. data source connectors connect the tools you use for analytics, ads, sales and content so agents can pull fresh data 4. a good harness the app you use to work with the agent, manage its tools and review its work, @orca_build and @herdrdev working well for me, but native codex works as well 5. curated skills reusable instructions for workflows and specific jobs. a marketing copywriting framework for the writing, and skill bundles like @mattpocockuk to test for planning and building 6. design workflow keep a design database that agents can both read and write to, for me that has become @paper, I´m able to prompt agents to design based on design. md reference file and by visual input, astra 6 is pretty good at doing this 7. experience in a marketing vertical you need enough experience in something like SEO, paid ads or content to judge output and give useful feedback then you prompt it with a specific outcome, or dictate the prompt with something like Wispr Flow I find it faster to explain what I want, add context and give feedback as the work develops that could be creating a campaign with a landing page and lead magnet, using your company information and past campaign results run /goal loops, where the agent keeps working toward the outcome, and review the work as it develops change the angle, push back on the copy, ask it to check an assumption against the data your marketing experience gives you the judgment to steer those decisions taste matters