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Come to SaaStr AI Annual in May, and We’ll Teach You How to Build an AI VP of Marketing. For Real.

We get asked some version of this question 10x a week now: “Jason / Amelia, how do I actually build an AI agent that does real work? Not a chatbot. Not a demo. Something that actually runs part of my company.” There are 10,000 AI agent demos on YouTube. There are mass webinars where someone... Continue Reading

7 April 2026 at 09:47 am
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Come to SaaStr AI Annual in May, and We’ll Teach You How to Build an AI VP of Marketing. For Real.

In a world where artificial intelligence (AI) is increasingly becoming a vital part of businesses, many entrepreneurs and professionals are eager to integrate AI into their operations. However, the challenge lies in understanding how to build an AI agent that can perform real tasks, such as managing marketing efforts, rather than just demonstrating basic capabilities. This is where SaaStr AI Annual comes in, offering a unique opportunity to learn from experts and build a functional AI VP of Marketing from scratch.

The demand for practical AI solutions has skyrocketed, with SaaStr receiving inquiries about building AI agents that can handle real work ten times a week. While there are numerous AI demos available online, most of them are either simplistic chatbots or pre-built workflows that lack authenticity. The lack of transparent, hands-on guidance on creating AI agents that can run parts of a company has left many eager to learn how to do it themselves.

SaaStr AI Annual, taking place on May 12, aims to fill this gap by providing a real-time demonstration of building an AI VP of Marketing. Amelia, the Chief AI Officer at SaaStr, will step onto the stage with a laptop, a microphone, and 45 minutes, ready to build a functional AI agent right in front of the audience. This will not be a polished presentation or a slideshow of potential capabilities; instead, it will be a live, messy, and iterative process that showcases the decision-making and tool connections involved in creating an effective AI agent.

Amelia's demonstration will cover every aspect of the process, from the initial prompt to the final working agent. She will share the challenges faced during the iteration cycle and how they were overcome. This level of transparency is crucial, as it highlights the common mistakes made by those new to AI development and provides valuable insights into best practices.

In addition to building an AI VP of Marketing, SaaStr AI Annual will also teach attendees how to deploy AI Sales Development Representatives (AI SDRs), AI Business Development Representatives (AI BDRs), and AI Customer Success agents. These AI solutions have proven to be invaluable in transforming businesses, as evidenced by SaaStr's own experience. Over the past year, SaaStr has reduced its workforce from 20+ employees to just 3 humans while maintaining or increasing productivity through the deployment of 20+ AI agents. This shift has resulted in a significant increase in revenue, growing from a -19% year-over-year decline to a +47% year-over-year growth, with over $4 million in AI-driven closed revenue and much more in assisted revenue.

The event is not just about theoretical AI strategy; it's about practical, hands-on learning that equips attendees with the skills needed to deploy AI agents effectively. SaaStr AI Annual will help transform participants into Agentic Deployment Experts, enabling them to confidently integrate AI into their businesses without fear or anxiety.

In summary, SaaStr AI Annual offers a unique opportunity to witness the creation of a functional AI VP of Marketing in real time. Attendees will gain invaluable insights into the process of building AI agents, from the initial prompt to the final deployment. This event is not just another panel discussion on AI strategy; it's a chance to learn from industry experts and apply these skills to transform your own business. Don't miss the opportunity to join Amelia as she builds an AI agent from scratch and discover the secrets to successful AI deployment.

Source: SaaStr
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