The AI Lab webinar series details real marketers using AI to reclaim time, improve bottom-line results, and scale their business.

Each 30-minute session will look at real workflows built by marketers like you that you can use today and replicate the results yourself!

Our next session is:
Wed, Jul. 29, 2026 · 11:00 am (CDT)
What if your AI already knew everything you'd ever written, and answered in your voice instead of guessing from the open internet? What if it got sharper every time you published, so the work you've already done became the thing it runs on? Maddy Osman built exactly that. Using retrieval-augmented generation, she turned her published content into a knowledge engine her AI checks before it answers, trading guesswork for output grounded in her real expertise. She's not a developer, and in this session she'll show you how the pieces connect so you can build your own.
Explore our webinar archive
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Catch up on previous sessions:
How to Build a Content Engine That Extends Your Thinking (Without Turning it Into a Slop Cannon)
Most AI content tools are pointed at a topic list and left to run. The output looks like content but says nothing anyone would remember reading. Sean Blanda has a name for this: the slop cannon. And he built something specifically designed to avoid it. In this session, Sean pulls back the curtain on the content enrichment engine he built inside Claude Code to produce checklists, prompt templates, and playbooks for AI Lab readers, without sacrificing the editorial standards his audience expects.
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What Happens When You Feed AI 21,000 Emails and Ask What to Do Next
Scrappy ABM sent 21,000 emails, filled 450+ seats, and hit a 42% average open rate with a small team and no shortcuts. In 30 minutes, founder Mason Cosby and Marketing Director Evan Cox are walking through the exact system they built, including the context-first prompting method that turns raw email data into same-day decisions, the welcome sequence averaging a 52.66% open rate, and the event follow-up logic that runs itself. You'll see the real before story, the infrastructure decisions that made scale possible, and the three AI queries Evan goes back to every single time.
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We Spent 6 Months Talking to Marketers (Then We Built AI Lab)
We spent six months talking to marketers about what's actually working with AI, and we're bringing the best of those conversations to one 30-minute session. You'll hear from solo founders, agency owners, newsletter operators, and ecommerce brands sharing the exact workflows they built and what happened when they did. You'll also get early access to original research from 185,000+ businesses, free tools you can use the same day, and a first look at something we've been building since October that changes how marketers find, use, and share what's actually working with AI.
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Your Database Isn't Too Big. Your Segmentation Strategy Is Too Simple. (What Now?)
Most marketers are drowning their databases with generic messaging and wondering why no one's paying attention. Join us to see how UAlbany ditched batch-and-blast and rebuilt its entire engagement strategy around one principle: relevance scales when you build the right systems. You'll see the exact segmentation frameworks, automation workflows, and infrastructure decisions that turned 57,000+ alumni into an engaged community—without adding headcount.
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Beyond Prompts: How to Avoid "Faster Mediocrity" with AI
Everyone's using AI for content, but most teams aren't seeing better results. Join Sean Blanda and Bob Pearson (former Dell social media leader, UT McCombs professor) to learn what actually creates an edge. You'll discover how to use your company's data to generate insights competitors don't have, ask better questions that lead to real ideas, and get three workflows you can start using next week.
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The 2026 Growth Checklist for Small to Midsize Business Marketers
Join us for an essential roadmap session with IDC Research Director Roger Beharry Lall and ActiveCampaign's Jackie Palmer, who shared market-backed insights and a 10-point execution plan to help you capitalize on agentic AI and navigate the accelerating changes reshaping marketing in 2026.
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Insider Tips That Work - Scaling Autonomous Marketing
Luis Fernando Castillon of Parrish Law Firm joins us to share how they deployed autonomous marketing, doubled their open rates, and got 10 hours back per week all with the help of Active Intelligence. Mamie Hatter of ActiveCampaign will build their workflows in platform, live.
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Autonomous Marketing in Action: Real Success Stories
Join us for a candid conversation with AI experts Maddy Osman and Amanda Pressner Kreuser, who will share not only their expertise on autonomous marketing, but also live demos of how they built their workflows and the results they’re seeing as a result.
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How AI Maturity Levels Transform Your Marketing Work Week
Based on findings from our new report, 34% of marketers using AI are Intermediate level, while only 15% are Experts. In this webinar, join Camille Cohen and Pam Didner as they discuss how Pam accelerated her maturity, and take a look at the AI prompts that are working for her. Plus, take home a personalized roadmap with actionable steps to climb to the next level.
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Build The Case for Autonomous Marketing: Claim 13 Hours Back Each Week
While most marketers are still figuring out basic AI tools, the leaders of 2026 are already building autonomous marketing systems that think, act, and optimize without constant human intervention. We’re excited to show you how to implement autonomous marketing successfully.
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