Today on the Salesforce Admins Podcast, we talk to Daryl Moon, Founder of CertifyCRM.com.

Join us as we chat about how curiosity and a test-first mindset can help you get the most out of Agentforce Vibes.

You should subscribe for the full episode, but here are a few takeaways from our conversation with Daryl Moon.

Fishing and the art of AI maintenance

Daryl came into tech as a generalist who did a bit of everything: hardware, software, networking, whatever needed doing. One fateful day, however, he took on a contract to import some spreadsheets into a CRM and ended up as the de facto Salesforce Admin for his organization.

Just like everyone else, Daryl has spent the last year trying to get his head around AI and how to separate the smoke and mirrors from the actual potential value. A keen fisherman, his mind was blown one day when he used AI to summarize the fishing reports from his local bait and tackle shop and immediately went out and caught six fish.

How Daryl got started with Agentforce Vibes

On one of his trips to the local boat ramp, Daryl decided to throw on the ol' Salesforce Admins Podcast, where he happened to catch our episode about Agentforce Vibes with Josh Birk. He was already planning to work on a video about new Apex features in Spring '26, so he figured he'd give Agentforce a shot.

Daryl decided that the best way to learn about Agentforce Vibes was to try to build something simple that he was already familiar with. He spun up a developer org and asked the AI to build a Lightning Web Component for open opportunities, and while there were several things about it that didn't quite work as intended, he was impressed with how Agentforce Vibes would take things step by step using the plan and act modes.

What to build first with Agentforce Vibes

In order to learn more about building in Agentforce Vibes, Daryl decided to take it a step further. What would happen if he tried to build an entire application? He ended up getting most of what he asked for, though the AI got stuck on building a few automations. Most importantly, it got him 80% of the way there for 10% of the time investment.

Daryl's biggest piece of advice for any admin trying to learn Agentforce Vibes is to start by building something you already know. AI is a tool like any other, so work with something familiar so you can properly judge how well it's working.

Make sure to listen to the full episode for more from Daryl about how he learned Agentforce Vibes. And don't forget to subscribe to the Salesforce Admins Podcast to catch us every Thursday.

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Full show transcript

Mike: Welcome to the Salesforce Admins Podcast. This week I am joined by Daryl Moon, retired fishing enthusiast, but that's not what we're talking about. He is a longtime Salesforce pro who recently dove into Agentforce Vibes and he's going to bring us along for the ride. So from tinkering with lightning web components to building a full-on job seeker app, Darryl shares how his curiosity and a test first mindset helped him explore this new AI tool. And of course, we talk about some unexpected challenges of token limits, but that's going to happen when you're learning something. So if you've ever wondered whether Agentforce Vibes is worth your time, this episode is for you. And with that, let's get Daryl on the podcast. So, Daryl, welcome to the podcast.

Daryl Moon: Thanks, Mike.

Mike: I'm very excited to have you on, especially after you posted on LinkedIn that you decided to jump in feet first into vibe coding, so I definitely want to talk about that. But before we get to that, I'd love to learn a little bit more about Daryl Moon. So, Daryl, tell us, how did you get started with Salesforce and what got you into vibe coding?

Daryl Moon: Yeah. Look, I'll try and keep it short and sweet. But basically, I was working overseas and then returned to Australia in 2014. And obviously, was looking for a job because I'd been away for 10 years. And the IT industry, during that time, had changed a lot. I was a bit of a generalist, I'd done a bit of everything. A bit of application development, a bit of hardware, software, networking. So I came back to this environment where the job roles were very specialized and I was finding it a bit hard to find a role that really fitted me. So I managed to find this one that was a contract just for a couple of weeks to fix up some spreadsheets and I thought, "Excel, I can do that." And that turned out to be fix up some spreadsheets that had all this data that they're importing into a CRM. A CRM, which at the time wasn't Salesforce, it was another product. And this other product had some gaps in it and it turned out to be a bit of vaporware. When we started talking about opportunities, while that was something that they were going to build. So they had the account and the contact functionality, but opportunities were something off in the future and that was a bit of a concern. And it really came to a head when we wanted to raise some issues that we had with the existing functionality and discovered that this company was actually using Sales Cloud or Service Cloud to record these issues that we had. Our CEO at the time was a former Salesforce customer. Cut a long story short, we did a pivot and we switched to using Salesforce and I became the defacto accidental admin.

Mike: It happens quite a bit.

Daryl Moon: Yeah. So the next thing was, well, how does this Salesforce thing work? We had a partner that we were working with and they were great, and they were helping do some of the heavy lifting. But also, being able to work with those consultants, I was able to start and learn my way around the admin side of things. Of course, this was about 2014, 2015, just before we had Trailhead. So it was a bit of a learn and discover as you go, until Trailhead came out, until I got hold of some resources. There was fairly limited YouTube content around at the time, but there was some really helpful posts from people like Steve Mo and Jennifer Lee, and people like that, some of those. Jennifer's obviously joined your team, and Cheryl Feldman at the time. So yeah, that was the early days when I got started.

Mike: Wow. So you've grown up on the platform for a lot of the time that I've been at Salesforce. This last, I would say, year-and-a-half, two years since AI has come, how has your learning and what you work on the platform changed since that?

Daryl Moon: I've been a bit of a critic of the whole AI movement and the value of it, certainly at the start. But I would have to say probably over the last six months or so, I've been starting to see that there's a little bit more beyond just the smoke and mirrors and there is actually some value there. Just to give an example, I'm a really keen fisherman. Now that I'm retired from full-time work, I can spend a bit of time doing that. I get these emails once a week from one of the local tackle shops and they tell me, for our four local rivers, what people have been catching, and where they've been catching, and when and what tackle they're using. And over a course of 12 months, I've got 50-odd emails and I thought, "It'd be great if I can grab all that content and summarize it, and maybe I can learn something."

Mike: Yeah.

Daryl Moon: So I cut and paste them all into one document, throw it into ChatGPT and said basically, "Summarize that for me." And it came back with a really great summary, and I went out fishing that weekend and caught six fish applying the knowledge that I'd got from that. So that was a bit of a turning point where I'm thinking, "Hang on, that's one thing it's really good at." Because it's a bit like weather forecasting, there's no black and white, true and false, 100% guarantee, but if it points you ...