Learn more and connect with Logan Rivenes:

• Logan’s LinkedIn - https://www.linkedin.com/in/loganrivenes/
• Red Bike Marketing - https://redbikemarketing.com/
• Demand Gen Confidential Podcast - https://redbikemarketing.com/demand-gen-confidential/
• HR Bench Pulse Podcast - http://www.hrbench.com/resource/pulse

Landed a Job with AI Agents

“I’m of the opinion that out of the box is for amateurs.” – Logan Rivenes

When layoffs and market shifts put pressure on job seekers, Logan Rivenes, demand generation veteran and host of Demand Gen Confidential, turned to AI agents not just as a side project but as a lifeline. With 15 years of experience scaling pipeline for B2B companies, Logan knew how to work systems. What he did not expect was that building agents would land him his next big role at HRBench.

The DIY Mindset

Logan describes himself as a sales rep turned marketer with a love for tinkering. That do-it-yourself streak led him to push past “out of the box” defaults in both marketing automation and AI. Rather than rely on pre-built templates, he stitched together free tools like Clay, Apollo, and Google Sheets with Agent.ai webhooks to create a fully customized job-hunting workflow.

“Every post is basically a thousand applications… How am I gonna get through the noise?”

The Job Search Agent Stack

Logan’s system started with firmographic filters (HR tech, company size) in Apollo, cross-checked in Clay, then piped into Google Sheets. From there:

• Agent.ai webhook calls scanned job boards and company sites directly.
• A validation agent enriched company profiles with funding and context.
• Manual plus AI-assisted cover letter drafting layered personalization on top.

“The total company list was 5,000… whittled down to 10 or 15 good jobs I could apply for.”

This was not a spray-and-pray approach. It was targeted, systematic, and repeatable.

The Outcome

The process worked.

“I landed a gig through this AI builder.”

Logan joined HRBench, an HR data company, and immediately began applying lessons from agent building into his marketing workflows. For him, the takeaway was clear: agents are not abstract toys. They are practical leverage.

Lessons for Builders

Logan’s story highlights several principles that builders can carry into their own projects. First, agent design is about workflows, not lines of code. He compares building with Agent.ai to designing a HubSpot workflow or drawing a flowchart in Miro. Once you know the outcome you want, you can break the process into steps and link them together. That mindset lowers the barrier to entry for anyone who has ever worked with automation.

Another lesson is the importance of resourcefulness. Logan deliberately avoided expensive SaaS tiers by piecing together free versions of Clay, Apollo, and Google Sheets, then connecting them through simple webhook calls. It required more manual effort, but it also made the solution more accessible and replicable. He encourages builders to focus first on solving the problem with whatever is at hand, rather than waiting for perfect conditions or full-featured subscriptions.

Finally, Logan underscores the value of tinkering. Just as in his DIY home projects, he believes the biggest hurdle is choosing what to build and being willing to open the wall to see what is behind it. Some agents will stall, others will be clunky, but the act of trying creates learning. For Logan, playful side projects like an “AI general manager” for his fantasy football league sharpened the skills that later applied to professional work. The experimentation itself is the training ground.

Need Help Landing a New Job?

Logan is open to sharing the very agent he used for his job hunt.

“If you are in the job hunt or want the agent I used, just reach out and I’ll give it to you and teach you how to use it.”