AI Explored: How to Train AI to Work Smarter – A Proven Business Process
Podcast Information:
- Title: AI Explored
- Host/Author: Michael Stelzner, Social Media Examiner
- Description: This podcast is tailored for marketers, creators, and business owners eager to leverage AI. Join Michael Stelzner, founder of Social Media Examiner, as he unveils practical and actionable AI strategies to enhance your business operations.
- Episode: How to Train AI to Work Smarter: A Proven Business Process
- Release Date: December 10, 2024
Introduction
In this episode of AI Explored, host Michael Stelzner delves deep into the transformative potential of AI for businesses, particularly focusing on creating a custom GPT-powered dream team. Joined by expert AI consultant Kate Vandervoort, the discussion centers around a systematic approach to integrating AI into business processes to amplify productivity and impact.
Guest Introduction: Kate Vandervoort (00:39 – 02:13)
Kate Vandervoort, an AI consultant and founder of the AI Success Lab, brings over 15 years of experience in the nonprofit sector and a profound passion for merging technology with human-centric approaches. With a background in social work and extensive experience in social media marketing, Kate has been at the forefront of integrating AI into business strategies, long before the ChatGPT phenomenon became mainstream.
Notable Quote:
Kate Vandervoort [02:26]: "I've developed a really deep passion for the intersection between technology and humanity and really understanding how we can use technology to connect with people in better ways and to be more human."
The Upside of Creating Custom GPT Dream Teams (07:10 – 12:00)
Kate emphasizes the importance of aligning AI with individual business owners and their unique operations. She highlights that many marketers are merely scratching the surface by using generic AI prompts, leading to average outputs that fail to revolutionize their processes. Instead, she advocates for a tailored approach where AI serves as a thought partner, enhancing the unique strengths and expertise of each business.
Notable Quotes:
Kate Vandervoort [08:08]: "AI allows us to do that in a whole lot of different ways. But a lot of people are not using AI properly yet."
Michael Stelzner [11:40]: "Whether you are a business owner or whether you work for a business that you do not own... this can be an augmentation or enhancement of your existing skills."
Step-by-Step Process to Create a Custom GPT Dream Team
1. Conducting an AI Business Audit (15:12 – 20:30)
The first step involves a comprehensive audit of all business tasks to identify repetitive and time-consuming activities that AI can streamline. Kate recommends documenting tasks over a week or a month using spreadsheets or time-tracking apps to establish a clear baseline of where time is being spent.
Example:
Kate Vandervoort [18:11]: "One of the tasks they were doing was inputting handwritten feedback forms... taking six hours was reduced to 20 minutes with AI."
2. Aligning AI with Business and Personal Profiles (22:11 – 27:03)
Kate introduces the concept of foundation documents—strategic documents that detail the business owner’s background, business operations, market analysis, and customer personas. These documents serve as the backbone for training AI to understand and align with the specific needs and nuances of the business.
Notable Quote:
Kate Vandervoort [23:07]: "Create a document about who you are, how you like to work, your strengths, your weaknesses. AI is fabulous at filling the gaps around our weaknesses."
3. Uploading Foundation Documents to Custom GPTs (34:57 – 40:19)
Once the foundation documents are prepared, they are uploaded into the custom GPTs via the ‘knowledge files’ section. This allows each GPT to reference these documents, ensuring that the AI’s output is highly tailored and aligned with the business’s specific context.
Notable Quote:
Michael Stelzner [37:34]: "You can create lots of these custom GPTs as private or public... creating all sorts of different virtual team members."
4. Creating Specific Custom GPTs (40:19 – 47:52)
Kate illustrates how businesses can create multiple specialized GPTs to handle different functions, such as content creation for specific platforms (e.g., Facebook, LinkedIn) or acting as virtual advisory board members. These GPTs can mimic industry experts, providing strategic feedback and enhancing decision-making processes.
Example:
Kate Vandervoort [47:52]: "I create an advisory board that is a custom GPT... it's like having a mastermind without having to pay for access to all these people."
Practical Applications and Case Studies
Nonprofit Sector Transformation (18:11 – 19:58) Kate shares a case study of a large nonprofit organization where AI reduced the time spent on transcribing handwritten feedback forms from six hours to just 20 minutes. This significant time saving allowed the organization to focus more on core activities and client interactions.
Custom GPT Advisory Board (47:52 – 48:04) By creating a custom GPT that functions as an advisory board, Kate demonstrates how businesses can leverage AI to receive expert-level guidance without the high costs associated with consulting fees.
Notable Quote:
Kate Vandervoort [47:52]: "Every idea I have for my business, I can run it through the advisory board... AI is here to provide expert-level feedback."
Practical Tips for Implementing Custom GPTs
- Start Simple: Begin with documenting tasks and understanding where AI can make the most impact.
- Iterative Stacking: Create layered foundation documents that build upon each other to provide comprehensive context for AI.
- Use Structured Prompts: Adopt frameworks like the SNAP formula (Set the role, Name the task, Add the context, Preferred format) to create effective instructions for custom GPTs.
- Leverage AI as a Thought Partner: Instead of viewing AI as a task-outsource tool, use it to enhance your strategic thinking and decision-making processes.
Notable Quote:
Kate Vandervoort [45:34]: "You can apply any of the prompt structures... we created a really simple one, which is the SNAP formula."
Conclusion: Unlocking the Magic of AI Alignment (48:04 – End)
The episode wraps up with a compelling vision of AI’s role in augmenting human capabilities within businesses. By meticulously aligning AI with business-specific contexts through custom GPTs, companies can unlock unprecedented levels of productivity, creativity, and strategic insight.
Notable Quotes:
Michael Stelzner [46:17]: "You can create all sorts of different, quote, unquote, virtual team members. Now that will allow us all of a sudden to do very specific tasks."
Kate Vandervoort [48:19]: "We have a pretty cool AI success strategy process that is totally tailored to you, your role and your industry."
Key Takeaways
- Customization is Crucial: Generic AI prompts yield average results. Tailoring AI to your unique business needs leads to superior outcomes.
- Foundation Documents are the Backbone: Detailed documentation of your business operations, personal strengths, and market analysis is essential for effective AI alignment.
- AI as a Thought Partner: Viewing AI as an enhancer of your capabilities rather than a task-outsource tool can transform your business operations.
- Scalability and Flexibility: Custom GPTs can be adjusted and expanded as your business evolves, ensuring sustained value from AI integration.
For more insights and detailed strategies on leveraging AI for your business, be sure to follow AI Explored on your preferred podcast platform and visit Social Media Examiner for additional resources and show notes.
