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Hey Andrew, |
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Your “should” list is probably pretty long. |
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You know, the one with all of those tasks that are important but not urgent and seem to stack up slowly? Until they’re so overwhelming you fantasize about taking time off just to clear them all? |
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Yeah, those. |
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In this issue, we share some examples of using AI to help handle the stuff that you know you should be doing, but too often slips through the cracks. See how Maddy Osman built backlinks and credibility by automating journalist queries. Or check our upcoming webinar about extending the great content you spend so much time on. |
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Your to-do list won’t know what hit it. |
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👇 |
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June 24th: Extend all of your great content with AI |
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You did the research report. You conducted the interviews. You did a massive rebranding. You completed the herculean effort of making something new and original. But now is no time to rest. Distribution in 2026 means ensuring your content is posted in all the channels. |
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In this webinar, Sean Blanda shares the Claude Code setup he uses for AI Lab (the very newsletter and site you are reading right now!) to extend our original research. |
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He’ll share how to set it up, how to get started with a single channel, and all of the messy mistakes you can avoid. |
| Save my spot |
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How I (mostly) automated journalist query responses and landed 3.7k backlinks |
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You'll learn how to… |
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Use a retrieval-augmented generation (RAG) agent to give your AI workflows the context they need, when they need it, without wasting tokens.
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Reap the benefits of thoughtful automation for your marketing efforts, like building 3.7k backlinks.
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Set up a vector database for faster RAG setup (not as scary as it sounds!) 🧟
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Read the full article ▸ |
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Chart of the Week: Only 23% of marketers use AI across the entire marketing lifecycle. |
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It’s time to up your prompting game |
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Luis Fernando Castillon runs marketing for Parrish Law, a personal injury firm with a small team and a long list of community programs. His move that changed everything? He stopped building reports. |
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"Active Intelligence replaced my manual reports completely. I just ask the system for insights, and it gives me everything I need to track performance and to show improvements." |
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That document is the foundation of a system that lets her hand AI real context instead of starting from scratch every single time. A few things worth stealing from how she operates: |
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A few things worth stealing from how he works with it: |
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Ask your reporting question out loud instead of building the report. Luis opens the Active Intelligence Workspace and types something as plain as "which subject lines performed best last month," and the analysis he used to spend hours assembling comes back right away.
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Let the data pick your test, not your gut. Before he writes a single subject line, he asks Active Intelligence to find the pattern in what already worked, whether questions beat statements or a certain send time pulls ahead, then builds the A/B test around that instead of guessing.
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Close the loop with one more question. After the test runs he goes back and asks which version won on click-to-open rate, so every send teaches the next one and the wins start to compound.
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That rhythm of asking, testing, and applying is how Parrish Law took open rates from under 20% to a steady 35 to 40%, while Luis got more than ten hours of his month back. |
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A question you can ask beats a spreadsheet you have to build. Want to feel the difference? |
| Try it now |
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- The ActiveCampaign team |
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P.S. Have an AI success story? Fill out this form and we’ll be in touch. |
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