Introduction

Marketing teams can hire AI helpers that work like people, doing tasks from social posts to lead checks. You can build a big marketing machine with just one founder and many AI agents.

What’s the problem it solves?

Many startups and small teams need more time and skills than they have. AI agents let you hand off routine and complex work so you can focus on strategy and growth.

Quick Summary

Kyle Poyar explains how Jacob Bank of Relay.app built a marketing team of over 40 AI agents and one CEO. These agents handle everything from finding trending topics and writing posts to updating blog content and running email campaigns. Each agent follows clear instructions and often has a human review step.

The AI helpers fit into six key areas: social media, blogging and website, email, lead qualification, community, and partner programs. Some agents even coach on post timing or track competitor pricing. Because AI can dive into data and remember context, it can sometimes do tasks better than a junior hire.

By treating AI agents as team members, you create a stack of tools that match your own style and goals. With templates and simple setup, anyone can spin up agents for research, content drafts, outreach, and more, making a small team feel much larger.

Key Takeaways

• AI agents can act like hired helpers, not just basic automation.
• You only need clear instructions and review steps to get useful outputs.
• Agents work best when you split tasks into small, well-defined jobs.
• Spiky intelligence means AI can sometimes outdo an intern or entry-level hire.
• Building your own AI agent library lets you carry skills to new roles.

What to do

• List your marketing needs and break them into small tasks or workflows.
• Find or build AI agent templates for social posts, blog updates, and emails.
• Set up each agent with clear goals, data sources, and review points.
• Test agents in one area, tweak instructions, then expand to other functions.
• Keep a human in the loop to catch errors and refine agent behavior.
• Document your AI agent stack so you can reuse and improve it over time.

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