Jordan Crawford – AI Agent Course

Proof of the course:

Agent Seven: AI-Powered Lead Generation

Introduction:

This document provides an overview of the “Agent Seven” course, which focuses on using AI agents to generate leads, primarily through web searches and public data analysis, contrasting it with traditional methods. The course aims to offer a cost-effective and context-rich alternative to standard lead generation techniques. The course will cost $299, and early purchasers will get a 30-minute consultation with the course creator for an additional $50.

Key Themes and Concepts:

1. Critique of Traditional Lead Generation Methods:

• The course begins by outlining common methods of lead generation such as using platforms like Apollo, ZoomInfo, and Ocean. These methods rely on databases, filtering by titles, and acquiring email addresses.
• While acknowledging the benefits of traditional methods (certainty in targeting, good user experience, speed of data extraction), the course highlights their significant drawbacks:
• High Cost: “You’re paying every single transaction… anywhere from pennies to 10 cents 30 cents they can get really expensive depending on the type of data you’re buying.”
• Lack of Context: Data is often title-based with no insight into why a lead is a good fit. “It doesn’t really know why is that lead good for you… they have the title so you really uh miss out on a lot of things.”
• Limited Sources: Information is sourced primarily from LinkedIn or single database providers.
• Potential for Public Data Duplication: Some providers republish data that is already available publicly.

1. The Agent 7 Framework:

• The core of the course revolves around a five-step framework, labeled “Agent 7,” which uses AI agents to find leads:
• Search: The course teaches how to build an AI agent to search the web for leads, including specifying parameters and prompts to ensure accurate results. The goal is to find public information about potential leads
• Insure: A second AI agent filters the results of the search to remove leads that don’t meet specified criteria.
• Validate: Database providers (e.g., LinkedIn) are used to validate the search and filter results and determine if the context uncovered is accurate. This step focuses on verifying that the lead actually works at the identified company and meets preliminary requirements.
• Enrich: The fourth step involves using various methods to find and validate phone numbers and email addresses of the qualified leads.
• Narrative: This crucial step uses an AI agent to structure and analyze all publicly available information to build context-rich narratives about the leads. The goal is to enable “personalization at scale” not by focusing on superficial details, but rather on the lead’s pain points. “This is about actually why do you think they own the problem that you solve and how are they thinking about it based on their public post…” The output is a text narrative which provides a foundation for tailored messaging.

1. Focus on Context over Superficial Personalization:

• The course emphasizes the importance of understanding the lead’s context and pain points rather than focusing on generic personalization tactics.
• The “Narrative” step aims to help users understand how leads think about their problems based on public posts, enabling more targeted messaging: “This is about actually why do you think they own the problem that you solve and how are they thinking about it based on their public post…”

1. AI as a Primary Tool:

• The course heavily utilizes AI agents for lead generation, particularly for searching, filtering, and narrative creation.
• The AI agents are not meant to supplant other providers, but to be used strategically, in conjunction with those methods, for better overall outcomes

1. Course Structure and Deliverables:

• The course is priced at $299 and includes:
• An overview video featuring Doug Bell and the course creator.
• Five videos detailing each step of the Agent 7 framework.
• Clay walkthroughs.
• The prompts used for the AI agents.
• Early purchasers will receive a 30-minute consultation with the course creator for an additional $50.

Key Quotes:

• “You’re paying every single transaction… anywhere from pennies to 10 cents 30 cents they can get really expensive depending on the type of data you’re buying.” (Cost of traditional lead gen)
• “It doesn’t really know why is that lead good for you… they have the title so you really uh miss out on a lot of things.” (Lack of context in traditional lead gen)
• “This is about actually why do you think they own the problem that you solve and how are they thinking about it based on their public post…” (Context driven approach)

Conclusion:

The “Agent Seven” course proposes a new approach to lead generation using AI agents to enhance the search process and build context-rich lead profiles. It argues against the limitations of traditional methods and advocates for a cost-effective strategy focused on understanding the needs and problems of potential leads using publicly available information. The course is presented as a way to achieve “personalization at scale” by delivering highly relevant narratives that serve as the foundation for tailored messaging. The course promises to provide practical skills, AI prompts, and processes to implement this AI-powered lead generation strategy.

Sales Page:_https://www.youtube.com/watch?v=5kWRVkHOywQ