"Walking into the 'Think Like an Agent' workshop, I was mostly curious. I'd heard of AI agents but hadn't thought much about using them in sales. But three hours in, I found myself laughing with my newly built Sales Report Analyst Agent like it was a colleague. The real 'aha' moment? Realizing agents can adapt to my language and rhythm—not the other way around.

My agent compiles weekly sales trends, flags outliers, and even suggests pitch adjustments. During one breakout, someone role-played as a skeptical CFO—I used my agent mid-demo to answer a live question. It nailed it.

The Breakout with AI team didn't just show us what's possible—they helped me see how to iterate, adapt, and make agents feel like part of the team. I'm now piloting the agent with my regional team and working with Breakout to add deal pipeline forecasting. Game-changing."

"Coming from a manufacturing background, I half expected this workshop to be tech jargon I wouldn't relate to. I was wrong. The energy in the room was contagious—and the hands-on style made it approachable. My 'aha' moment came during a role-play where a teammate simulated a sudden factory incident. I realized I could train an agent to log, triage, and pre-analyze safety incidents before they hit my inbox.

I built the 'Factory Incident Tracker Agent.' It pulls from inspection logs, correlates with shift schedules, and even generates near-miss alerts. During the agent-building lab, I paired with a product designer who helped me shape the UI flow. That collaboration? Priceless.

I'm now bringing the agent into our monthly safety audits and planning to connect it to our reporting dashboards. More than anything, I've gained confidence—I now feel ready to collaborate with AI, not fear it."

"Legal work is so context-heavy—I wasn't sure if agents could really help. But the 'Think Like an Agent' session made it crystal clear: it's not about replacing thinking; it's about amplifying it. My lightbulb moment was seeing how an agent could process massive contracts and highlight my red flag criteria.

I developed the 'Legal Brief Summarizer Agent.' It scans documents for standard clauses, summarizes in plain English, and checks against our compliance checklist. During a breakout, we simulated a time-pressured filing deadline—I deployed the agent, and it gave me a crisp, prioritized brief in under two minutes.

The workshop showed me how to design with AI, not just for AI. I'm already prototyping version 2.0 with added regulatory alerts and plan to co-develop it with Breakout's legal-focused team."

"I live and breathe pipelines, so I came to the workshop with a 'show me something useful' mindset. It didn't disappoint. My turning point was during a debugging role-play—I watched someone's agent spot a flaky test in real time and offer version-specific solutions. I knew I needed in.

My agent is the 'Deployment Optimizer Agent.' It monitors staging deployments, compares latency benchmarks, and suggests rollback conditions. I built it with a fellow QA lead—our collaboration merged CI insights with test coverage heuristics.

What stood out was how Breakout emphasized collaborating with the agent, not automating everything blindly. I'm now running weekly agent retrospectives with my team to tweak behaviors. Next step? Integrating it with our incident response playbook."

"I've been wrangling n8n workflows for the last 18 months—marketing automation, CRM syncing, even basic lead scoring agents. So I went into this workshop with a bit of skepticism. I walked out completely reoriented.

The 'aha' wasn't technical—it was conceptual. Seeing how other domains used agentic patterns cracked my thinking wide open. A DevOps engineer in my breakout sketched a validation agent that ended up inspiring my own build: a Creative Brief Synthesizer Agent. It pulls campaign goals, brand docs, and recent performance data, then outputs a brief draft that's 80% of the way there.

The performance lift? 100x is no exaggeration. What used to take hours of scattered Notion notes and Slack threads now starts from a smart baseline. The workshop helped me understand modularity—how agents can become Lego blocks. I'm already splitting this one into reusable n8n modules."

"I'm not new to automation. I've used Zapier, dabbled in Make, and recently explored AI agents for onboarding. But what this workshop did brilliantly was remove the guesswork. Instead of stringing things together and hoping they work, I left with the confidence to build intentional agentic flows.

My build? The 'Onboarding Buddy Agent.' It tracks progress across Slack intros, policy doc acknowledgements, and buddy check-ins—then flags at-risk new hires. What changed for me was realizing I could prototype live with structured input from my cohort.

We had a brilliant moment during a role-play where my agent gave a culturally aware nudge to a new hire's manager. It wasn't magic—it was just smart prompting and careful design. I'm now working with my People Ops team to embed this into our next onboarding sprint."

"This wasn't my first agent rodeo—but it was the first time I saw agent design approached like UX strategy. And that clicked. Instead of burying myself in prompt engineering hacks, I started thinking in terms of agent personas, decision boundaries, and trust curves.

I rebuilt my 'Doc Companion Agent'—previously a linear summarizer—into something more fluid. It now adjusts its tone based on doc type and prompts me with citation gaps. The modular breakout sessions were gold: I paired with a compliance officer and we mapped review logic for audit trails that I now use.

I'll say this: I didn't learn how to use agents. I learned how to compose them. And that's elevated my work—and how I talk about it with stakeholders."

"I almost didn't attend—I'm juggling a roadmap, two launches, and a pilot with an outsourced team. But this workshop gave me the closest thing I've had to a force multiplier in years.

My agent was rough when I arrived: a flaky feature spec writer that needed constant hand-holding. What I left with was a Spec Navigator Agent that reads Jira epics, pulls relevant Figma links, and proposes user stories. During one breakout, we tested real edge cases from my backlog and the agent handled them better than one of our junior PMs.

But the best part? I feel 10x more confident presenting this to my execs. I understand what's under the hood. That's what Breakout with AI nailed—empowering us not just to build, but to own agent design."