Systems Thinking

How do we recover from having had a toxic or narcissistic ex? How do we move on from the past, especially something as traumatic as a divorce or breakup? How do we avoid anxiety and depression? How do we have more self esteem? In this meeting, you will learn the mental health secrets to help you quickly get over the past and heal your mind. Be sure to click on the red "Attend" button below to come to this local event. We look forward to seeing you there. This group is created by the Dianetics & Scientology life improvement center.

Most people use LLMs by feel: ask a question, read the answer, decide whether it “seems good,” and move on. That works for casual use. It does not work when you are building software, automating workflows, writing important documents, or relying on AI for anything that needs to be repeatable. In this talk, we’ll look at how to improve and evaluate the inputs and outputs of LLMs using practical measurement techniques. We’ll cover how prompt changes affect results, how to compare outputs, how to build simple evaluation sets, and how math-based methods like similarity scoring can help you move beyond guesswork. This will be beginner-friendly, so even if you don't know anything about AI, you should get something out of it. However, this will be a little more technical than our intro talks. You do not need to be an AI researcher, but programmers and technically curious attendees will get a lot out of it. We’ll cover: * Why “it looks good” is not enough * How to improve prompts by changing the input, context, and constraints * How to compare LLM outputs more systematically * Basic evaluation techniques for accuracy, consistency, and usefulness * How embeddings, cosine similarity, and scoring can help evaluate results * Where automated evaluation works — and where humans still need to stay in the loop By the end, you’ll have a practical mental model for treating LLMs less like magic and more like systems you can test, measure, and improve. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.

You can sleep in on the Sesquicentennial (observed), we’re shifting to the following Friday. But join the local UX community for a chat and some biscuits to catch up. If you were in CA for Figma Config, tell us all the lines and you can tell me how I can animate an SVG without coding it by hand, and why I’d even want to. Thanks to the team at Nationwide of supporting the group.

**Practical Curiosity: Learning from Everyday Data** How do we actually get better at utilizing our day-to-day data? Fancy dashboards and complex models might look nice and draw attention, but that’s not where most of us spend our time. In fact those shiny outputs frequently sit unused, while the real insights are drawn from the analyst’s daily practice. Sometimes it’s as simple and as powerful as noticing that a segment is shrinking, a channel is underused, or certain links keep getting all the clicks. There’s many different places that the spark of insight can come from, but you have to keep your head in the data and know where to look. In this session, we’ll explore real-world examples of how segmentation, testing, and click behavior can uncover practical digital marketing opportunities. You’ll leave with inspiration for your own use cases, along with a few simple ways to ask better questions, spot meaningful patterns, and make smarter decisions without overcomplicating it. **About Our Speaker:** [Elaine Armbruster](https://www.linkedin.com/in/elainearmbruster/) is a Director of Digital Experience at the [American Diabetes Association](https://diabetes.org/), where she focuses on using data and insights to create smarter, more effective digital experiences. A lifelong Columbus resident, she has built her career in email marketing and the broader digital user journey, and is finding she most enjoys working in the messy middle where systems, data, and big ideas don’t quite line up yet. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

We're planning a hands-on technical session focused on building AI solutions in ServiceNow - think skills, agents, and real-world use cases. If you’re curious about AI on the platform, RSVP now and stay tuned for more details. Let's build together!