Turning Curiosity About AI into a Successful Business

Introduction

• Real potential for a lucrative AI business in 2024.
• Presentation broken down into four chapters.
• Four successful AI businesses started by the presenter.

Chapter 1: Is Starting an AI Business Right for You?

Key Questions to Ask

• Is entrepreneurship right for you?
• Do you need to be a developer?
• How much time is required?
• Why choose AI over other models like SMMA or drop shipping?

Entrepreneurship Considerations

• Significant effort, time, and long-term commitment required.
• Challenges include total accountability for successes and failures.
• Personal experience narrated by the presenter - from humble beginnings to success in AI.

Developer Considerations

• No need to be a developer to start an AI business.
• Different AI business models can accommodate various skill levels.

Time Commitment

• Time investment varies from 1 to 12 hours per day, depending on the chosen model and desired outcome.

Why Choose AI?

• The AI space is booming with opportunities for significant, long-term gains.
• The chance to become an expert quickly compared to other fields.
• The objective to move from a spectator to an active participant in the market.

Chapter 2: The Five Types of Online AI Businesses

1. AI Consulting

   • Beginner-friendly, fast to start earning money.
   • Make money by bridging knowledge gaps and providing insights.
   • Learning and attracting clients discussed.

2. AI Education Business

   • High demand for AI education and training.
   • Creating info products like courses, eBooks, and communities.
   • Strategy to attract customers through content.

3. AI Agency

   • Helps businesses automate systems using AI.
   • Three tiers: No-code solutions, Low-code solutions, Custom-coded solutions.
   • High long-term potential and more complex but lucrative.

4. AI SaaS

   • High complexity and startup cost but enormous potential.
   • Combining AI with the SaaS model for recurring revenue.
   • Steps include idea generation, planning, development, testing, and maintenance.

5. AI Freelancing

   • For those with development skills, offering services as a freelancer.
   • High long-term potential, ability to transition to AI agency or SaaS.

Business Journey Mapping

• Consulting can transition to AI Education or Agency.
• AI Freelancing and Education can transition into SaaS.

Chapter 3: Core AI Business Skills

Prompt Engineering

1. Role Prompting
2. Shot Prompting
3. Task Context
4. Markdown Formatting
5. Model Settings

Understanding APIs

• Base URL, Endpoint, HTTP Methods, Headers, Parameters, Authentication, Response, Error Handling.

Tool Creation

• Creating AI tools and using them via web pages, agents, or APIs.
• Example walkthrough using Relevance AI.

AI Auditing

• Identifying AI opportunities within businesses.
• Conducting discovery calls and using an AI audit checklist.

ChatGPT Coding

• Leveraging ChatGPT for coding assistance and planning.
• Key uses: understanding terms, explaining code, writing scripts, planning approaches.

Content Creation (Optional)

• Valuable for attracting leads and establishing authority in the AI space.

Chapter 4: Step-by-Step Guide to Starting Your AI Business

• Presenter has built AI Liam, a personalized AI business coach to help you.
• AI Liam offers a structured and adaptive strategy tailored to your background, skills, and commitments.
• Onboarding process includes assessing your current situation and outlining the steps to start your business.
• Two versions are available: Free and Paid, providing access to resources and personal coaching.

Final Thoughts

• The time to start is now — take action and commit to your AI business journey.
• Utilize resources provided such as AI Liam, community forums, and educational videos.

Additional Resources

• Check out the link to AI Liam for personalized coaching.
• Join the free community for comprehensive resources including checklists and templates.