When we launched the Agentic Bootcamp at SnapLogic, our goal wasn’t just to explain how AI agents work, it was to help people build them. In just two days, we gave participants the tools, frameworks, and hands-on experience to move from simple prompt-based experimentation to real-world automation.
Two standout participants from our partner IWConnect, Technical Consultants Gjorge Argirov and Andrea Ristevska, embraced the challenge and delivered a working agent that tackled a real operational pain point. In this post, they reflect on what they built, what surprised them, and how they’re taking these capabilities back to their clients.
Why did you attend the SnapLogic Agentic Bootcamp, and what were your initial impressions?
Gjorge
Before the bootcamp, most of us were only familiar with language models like ChatGPT through basic browser usage. We hadn’t explored real-world agent implementations.
What surprised me most was seeing how an agent could do more than just respond to prompts—it could execute multi-step logic, access tools, send emails, even extract structured data. That practical integration through SnapLogic was eye-opening.
Andrea
Exactly. We all use ChatGPT daily, but this showed how to operationalize it. The AgentCreator was a functioning assistant that could carry out complex tasks. That distinction became clear during the bootcamp.
What kind of project did you build during the bootcamp?
Andrea
We built a real-time Jira Vulnerability Management Agent. The goal was to reduce manual workload and improve communication between SnapLogic’s security team and their customer support.
Instead of someone having to check Jira manually and email updates, our agent pulled ticket data, summarized status, and could automatically send those summaries via email.
Gjorge
Yeah, the use case was driven by a bottleneck in communication. Security staff had to respond to a high volume of queries about ticket status. We streamlined this through automation. The agent could fetch, summarize, and respond in natural language—saving time and reducing human error.
Was this just a concept or a functioning product?
Gjorge
The agent was live. We built it with real APIs, connected it to real Jira data, and used a frontend built with Streamlit to trigger agent flows. SnapLogic managed the logic, and the agent could choose which tools to use depending on the user’s prompt. So yes—it was real and functional.
Andrea
We presented it to SnapLogic staff at the end of the training, and the feedback was positive. It wasn’t just theory—we delivered a product prototype built for an actual operational need.
Do you see potential applications of this for current clients?
Gjorge
Definitely. One example we explored was with one of our clients in the financial sector. The idea was to build an agent that could assess creditworthiness. You upload a few documents—bank statements, income declarations—and the agent makes a decision based on predefined banking criteria.
Andrea
That project was still a proof of concept, but it showed how versatile these agents could be. From summarizing support tickets to evaluating loan eligibility—it’s just a matter of defining the workflow and integrating the right tools.
What’s next? How do you plan to use this internally or with clients?
Gjorge
Internally, we’re planning a full rollout of this tech in June—an implementation for our own workflows. We’re also considering using voice interfaces powered by Eleven Labs to make the experience even more intuitive.
I see a great opportunity in using your voice to just talk to an agent instead of typing prompts.
Final reflections—what was the biggest takeaway?
Andrea
The bootcamp demystified “AI agents” for us. It wasn’t about abstract theory—it was about building something functional in 48 hours. We walked away with both confidence and practical knowledge ready to implement into our own use cases.
Gjorge
Exactly. The main takeaway was about where do we see this implemented and applied. If you can define a process, SnapLogic + LLMs can automate it.
That’s the future we’re building toward.
Ready to build your own agent?
This is just the beginning. The power of agentic automation isn’t theoretical – it’s practical, scalable, and already delivering value across industries. As we continue to push the boundaries of what’s possible with SnapLogic’s AgentCreator, partners like IWConnect will be key to helping enterprises make the leap from AI awareness to AI action.
Ready to move beyond basic prompts? Let’s bring real AI agents into production and start automating end-to-end workflows with confidence. Request a demo to see how AgentCreator can help you turn ideas into impact – fast.
