Olga Topchaya, founder and CEO of Lapis AI Consultants, discusses the implementation of AI in small businesses and the challenges and considerations involved. She highlights the use cases for AI in various industries, such as information synthesis, cross-functional collaboration, and employee onboarding. Olga emphasizes the importance of starting slow and iterating when implementing AI solutions. She also shares her own experience of using AI in her marketing and content creation efforts. In this conversation, Olga Topchaya discusses various aspects of content creation and using AI tools to enhance the process. She shares her preferred methods for image selection and design, including using tools like Fotor. Olga also emphasizes the importance of building prototypes or MVPs to test ideas and gain traction. She highlights the significance of identifying the problem and goal before implementing AI solutions. Olga provides insights into staying informed about AI advancements and using AI to stay on top of information. She compares the features and benefits of ChatGPT and Claude. Finally, she discusses the challenges and evolution of AI models, emphasizing the need for iteration and risk-taking.

Takeaways

• Implementing AI in small businesses can be done by leveraging existing documents and data to automate processes and gain insights.
• AI can be used for information synthesis, cross-functional collaboration, and employee onboarding.
• When implementing AI, it is important to start with a specific use case and iterate on the solution.
• Building an AI assistant requires a degree of forgiveness and understanding that AI is not perfect. When using AI for content creation, it is helpful to write the content first and then select or create appropriate images to accompany it.
• Tools like Fotor can be used for design and image manipulation, allowing for customization and creativity in marketing content and assets.
• Building a prototype or MVP can help validate ideas and attract funding or customers before investing in a more robust SaaS product.
• Identifying the problem and goal is crucial when implementing AI solutions, as it helps determine the most effective approach and desired outcomes.
• Staying informed about AI advancements and using AI tools to stay on top of information can give businesses a competitive edge.
• Different AI models, such as ChatGPT and Claude, have unique features and benefits, and it is important to choose the one that best suits the specific needs and requirements.
• Setting custom instructions for AI models can help guide their responses and ensure they align with the desired tone and style.
• The field of AI is constantly evolving, and it is important to embrace iteration and take calculated risks to stay ahead in the technology landscape.

Chapters

00:00Introduction and Background

02:05Early Implementations of AI

03:08Current State of AI

04:37Implementing AI in Small Businesses

08:28Use Cases for AI in Business

11:24Moving Beyond Chat GPT

13:16Challenges and Considerations

15:00Building an AI Assistant

18:24Ideas and Execution in AI

20:17Using AI in the Speaker's Business

21:05Content Creation and Image Selection

23:20Using Tools like Fotor for Design

24:13Building a Prototype or MVP

25:13Identifying the Problem and Goal

26:29Using AI to Solve Business Problems

28:04Exploring Different AI Implementation Strategies

29:29Staying Informed and Learning about AI

30:57Using AI to Stay on Top of Information

32:39Understanding the Differences between ChatGPT and Claude

34:40Setting Custom Instructions for AI Models

36:06The Evolution and Challenges of AI Models

37:15The Importance of Iteration and Risk in Technology

38:35Wrap-up and Contact Information