AI Chronicles with Kyle James

In this episode of the AI Chronicles podcast, host Kyle James speaks with Kristi Broom, co-founder of Rising Tide Cooperative, about the integration of AI in business. They discuss the challenges and solutions of implementing AI, the importance of human-AI collaboration, and how AI can enhance marketing and messaging. Kristi shares insights on transforming work through AI, the mindset shift required for successful adoption, and the future initiatives of Rising Tide. The conversation emphasizes the need for effective change management and the potential of AI to free up time for more meaningful work.   Links:   Rising Tide Cooperative: risingtidecooperative.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Rising Tide Cooperative focuses on the intersection of AI and human skills. AI can optimize workflows but still requires human judgment. The name 'Rising Tide' symbolizes collaborative success in AI adoption. AI implementation began with simple chatbots and evolved to broader applications. Marketing and messaging have seen the most significant impact from AI. Training AI to reflect personal voice is crucial for effective communication. AI can automate tasks, allowing humans to focus on strategic initiatives. Change management is essential for successful AI integration in organizations. Employees should view AI as a tool for enhancement, not replacement. Future initiatives include further automation and onboarding processes using AI. Chapters (00:00:00) - Introduction to AI in Business(00:01:29) - The Rising Tide Cooperative: Background and Mission(00:03:28) - Implementing AI: Challenges and Solutions(00:06:07) - AI in Marketing and Messaging(00:07:52) - The Human-AI Collaboration(00:10:41) - Transforming Work: The Mindset Shift(00:12:37) - Future AI Initiatives at Rising Tide(00:13:50) - Conclusion and Resources

In this episode of the AI Chronicles podcast, host Kyle James interviews Brad Groux, CEO of Digital Meld, about the integration of AI in small and medium-sized businesses. They discuss Brad's journey from working at NASA and Microsoft to founding Digital Meld, focusing on how AI can help businesses streamline operations and compete with larger corporations. The conversation covers practical steps for implementing AI, the importance of data management, and the proactive use of AI in various business processes. Brad also shares insights on future initiatives and the challenges of bidding on government contracts.   Links:   Digital Meld: digitalmeld.io   GPT Trainer: Automate anything with AI -> gpt-trainer.com Key Moments: AI is a tool that can help small businesses compete with larger corporations. Understanding the context of AI is crucial for effective implementation. Starting with standard operating procedures (SOPs) is essential for AI integration. Automation can free up significant time for employees, allowing them to focus on growth. Proactive AI can lead to better outcomes than reactive AI. Data management is key to leveraging AI effectively. Small businesses have access to the same AI tools as larger organizations. Incremental progress in AI implementation can lead to significant ROI. The Rubicon model helps businesses capture and utilize data effectively. Building a culture of AI awareness is important for future success.  Chapters (00:00:00) - Introduction to AI in Business(00:01:39) - Brad Groux's Journey and Digital Meld's Origin(00:03:52) - Utilizing AI for Competitive Advantage(00:06:40) - Implementing AI: Starting with the Basics(00:08:45) - The Rubicon Model: Capturing and Utilizing Data(00:11:04) - Proactive vs. Reactive AI Solutions(00:13:26) - Future AI Initiatives and Government Contracts

In this episode of the AI Chronicles podcast, host Kyle James discusses the innovative AI startup Clausey with founders Austin Sun and Larry Galan. They delve into the challenges of contract management that inspired the creation of Clausey, the advantages of an AI-first architecture, and the importance of data security. The conversation also explores the differences between open source and closed source LLMs, the results seen by Clausey’s clients, and future initiatives focusing on agentic workflows to enhance efficiency.   Links:   Clausey: clausey.ai   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Clausey was founded to solve personal pain points in contract management. AI is integrated at the core of Clausey's product. The platform allows for multi-document context preservation. Data security is a top priority for Clausey. Open source LLMs can significantly reduce costs. User experience is crucial in AI product design. Clients have expressed a strong demand for effective contract management solutions. Agentic workflows will streamline repetitive tasks. The AI landscape is rapidly evolving with new models. Clausey aims to enhance automation in business processes. Chapters (00:00:00) - Introduction to Clausey and AI Implementation(00:01:44) - The Founding Story of Clausey(00:03:47) - AI-First Architecture in Clausey(00:06:39) - Preserving Context with AI(00:08:25) - Data Security and AI Usage(00:10:33) - Open Source vs Closed Source LLMs(00:15:32) - Results and Customer Insights(00:18:38) - Future AI Initiatives and Agentic Workflows

In this episode of the AI Chronicles podcast, host Kyle James interviews Nate Smoyer, head of marketing at Lula, a proptech company revolutionizing property management through AI. They discuss Nate's journey into the real estate sector, the definition and evolution of PropTech, and how Lula is leveraging AI to streamline maintenance processes, enhance tenant and owner experiences, and reduce churn. The conversation highlights the importance of identifying pain points for AI implementation and showcases real-world examples of efficiency gains achieved through AI solutions. Nate shares insights on Lula's growth and future AI initiatives, emphasizing the company's commitment to improving property management through innovative technology.   Links:   Lula: lula.life   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Nate Smoyer's background in real estate sparked his interest in PropTech. PropTech is the intersection of property and technology, evolving with new innovations. Lula focuses on enhancing maintenance processes for property management companies. AI helps reduce the time spent on maintenance tasks, improving efficiency. Tenant and owner churn are critical issues in property management. Identifying pain points is essential for effective AI implementation. Lula has a network of 7,000 vetted contractors to streamline maintenance. The company has seen a 100% increase in intake without staff increases due to AI. Nate emphasizes the importance of communication and personality in maintenance processes. Lula is excited about future AI initiatives to further enhance property management.  Chapters (00:00:00) - Introduction to AI in Real Estate(00:01:30) - Nate Smoyer's Journey to Lula(00:03:44) - Understanding PropTech(00:05:54) - AI Applications in Property Management(00:10:25) - The Importance of Maintenance Management(00:13:16) - Reducing Tenant and Owner Churn(00:15:37) - Identifying Pain Points for AI Implementation(00:20:38) - Results and Growth at Lula(00:22:16) - Future AI Initiatives at Lula

In this episode of the AI Chronicles podcast, host Kyle James speaks with Chirag Kulkarni, CEO and founder of Taco, an AI-assisted organic search company. They discuss the evolution of search from traditional SEO to AI-driven strategies, the importance of optimizing content for large language models (LLMs), and how businesses can leverage AI to improve their search performance. Chirag shares insights from his journey in the SEO world, the challenges of implementing AI workflows, and the future of organic search in a rapidly changing digital landscape.   Links:   Taco: taco.co   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Chirag Kulkarni has a decade of experience in SEO and AI. Taco focuses on driving revenue through AI-assisted organic search. AI is changing the way businesses approach search and content creation. Companies need to optimize for both traditional search and LLMs. Understanding user intent is crucial for effective content strategy. AI can streamline tedious tasks, increasing efficiency in content production. Businesses should create content that answers specific user questions. The digital footprint of a business is becoming increasingly important. Organic presence on LLMs presents a significant opportunity for businesses. Testing and learning are essential for adapting to AI-driven search.  Chapters (00:00:00) - Introduction to AI and Taco(00:01:33) - Chirag Kulkarni's Journey in SEO(00:04:01) - The Evolution of Search: Traditional vs AI(00:06:24) - Integrating AI into Business Workflows(00:10:11) - Navigating LLMs and Search Queries(00:12:35) - Understanding Data Sources for LLMs(00:14:44) - The Future of Organic Presence in AI(00:19:30) - Strategizing for AI Search Success(00:21:05) - Conclusion and Resources

In this episode of the AI Chronicles podcast, host Kyle James interviews Garrett Rice, co-founder and CEO of Callings.ai, a startup revolutionizing the job search process through AI technology. They discuss the origin of Callings.ai, the challenges of the modern job market, and how AI can streamline the job search workflow. Garrett explains the step-by-step process for job seekers, the importance of networking, and the upcoming features of their platform that aim to provide hope and support for those in the job hunt.   Links:   Callings.ai: callings.ai   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Callings.ai was founded to address the pain points in the job market. The modern job market has changed drastically due to technology. AI can significantly accelerate the job search process. Networking is crucial for job seekers to succeed. The job application process is now a high-volume sales process. Customizing resumes for each job application is essential. Job seekers often need to apply to many jobs to get interviews. Callings.ai aims to simplify the job search workflow. The platform will soon offer AI-driven job searching capabilities. Job seeking can be a demoralizing experience, but action can help.  Chapters (00:00:00) - Introduction to AI Chronicles and Callings.ai(00:01:21) - The Origin Story of Callings.ai(00:03:16) - The Modern Job Market and AI's Role(00:08:15) - The Job Search Workflow and AI Integration(00:12:06) - Step-by-Step Process for Job Seekers(00:19:21) - Networking and Its Importance in Job Hunting(00:21:53) - Future Developments in Callings.ai(00:25:45) - Providing Hope for Job Seekers

In this episode of the AI Chronicles podcast, host Kyle James interviews Ryan Robinson, co-founder of RightBlogger, about the integration of AI in blogging and content creation. Ryan shares the backstory of RightBlogger, its tools designed to help bloggers create content more efficiently, and the importance of personalization in AI-generated content. The conversation also covers the process of transforming video content into blog posts, the benefits of repurposing existing content, and client success stories. Ryan discusses future AI initiatives for RightBlogger and emphasizes the importance of adapting to the evolving landscape of SEO and content marketing.   Links:   ryrob.com: ryrob.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: RightBlogger was born out of frustration with content creation. AI can optimize blog posts and streamline content processes. Personalization is key in AI-generated content. Video content can be effectively transformed into blog posts. Repurposing existing content can save time and enhance SEO. Client feedback highlights the ease of content repurposing with RightBlogger. Future initiatives will focus on leveraging LLMs for SEO success. Niche-focused content can drive more leads than broad keywords. AI tools can help create personalized marketing materials. Engaging with customers directly enhances the user experience.  Chapters (00:00:00) - Introduction to AI in Blogging(00:01:49) - The Birth of RightBlogger(00:03:59) - Integrating AI into Content Creation(00:06:21) - Personalization in AI-Generated Content(00:09:23) - Transforming Video Content into Blogs(00:13:56) - User Feedback and Tool Studio(00:15:52) - Future of AI in Blogging(00:20:29) - Conclusion and Resources

In this episode of the AI Chronicles podcast, host Kyle James interviews Gilad Bechar, CEO and founder of Moburst, a digital marketing agency that has successfully integrated AI into its operations. They discuss the evolution of Moburst from a mobile marketing consultancy to a comprehensive digital marketing agency, emphasizing the importance of niche expertise in acquiring high-profile clients like Google and YouTube. Gilad shares insights on the strategic acquisitions that have expanded Moburst's service offerings and the critical role of AI in enhancing business operations and client outcomes. The conversation highlights the necessity for agencies to adapt to the rapidly changing landscape of digital marketing and the innovative approaches Moburst is taking to stay ahead.   Links:   Moburst: moburst.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Moburst started as a mobile marketing consultancy in 2013. Niche expertise helped Moburst acquire high-profile clients. The agency evolved to offer a full range of digital marketing services. Acquisitions have expanded Moburst's capabilities beyond mobile marketing. AI is integrated into every aspect of Moburst's operations. The agency employs AI champions in each team to innovate services. Investing in AI is crucial for survival in the agency space. Moburst aims to provide a one-stop shop for digital marketing needs. AI tools help streamline processes and improve client outcomes. Continuous adaptation and innovation are essential for success.  Chapters (00:00:00) - Introduction to AI in Digital Marketing(00:01:28) - The Birth and Growth of Moburst(00:03:08) - Niche Expertise and Client Acquisition(00:09:46) - Strategic Acquisitions for Growth(00:14:28) - Implementing AI in Business Operations(00:20:14) - Future AI Initiatives at Moburst

In this episode of the AI Chronicles podcast, host Kyle James speaks with Amanda Cupido, founder of Lead Podcasting, about her journey in the podcasting industry and how she has integrated AI into her business. Amanda shares her experiences from starting her first podcast in 2010 to launching her company during the pandemic. They discuss the importance of host coaching for new podcasters, the various AI tools being used in podcast production, and the benefits of AI for translation and multilingual podcasts. Amanda also highlights the results and cost savings achieved through AI implementation and shares her vision for the future of AI in the podcasting industry.   Links:   Lead Podcasting: leadpodcasting.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Amanda Cupido has a background in journalism and radio. Lead Podcasting was launched during the pandemic in 2020. Host coaching helps new podcasters find their voice. AI tools like Adobe Enhance improve audio quality. AI is used for translation in multilingual podcasts. AI implementation has led to cost savings for clients. AI can streamline podcast production workflows. The future of podcasting includes integrated AI translation tools. AI will enable more creative possibilities in podcasting. Amanda's personal project includes creating a podcast in Russian.  Chapters (00:00:00) - Introduction to AI in Podcasting(00:00:57) - Amanda Cupido's Journey in Podcasting(00:03:04) - First Steps in Podcast Production(00:06:45) - The Importance of Host Coaching(00:09:08) - Integrating AI into Podcasting(00:13:32) - AI for Translation and Accessibility(00:18:56) - Results and Impact of AI in Podcasting(00:22:14) - Future of AI in Podcasting

In this episode of the AI Chronicles podcast, host Kyle James interviews Cole Vandee, founder of Inboxing Engine, about the transformative role of AI in business, particularly in email marketing. Cole shares his journey from struggling with multiple businesses to successfully scaling Inboxing Engine through data-driven email strategies. He discusses the integration of AI into their operations, emphasizing the importance of data analytics and the potential for AI to automate and enhance marketing efforts. The conversation highlights the future of AI in business, the need for companies to adapt, and the competitive edge that AI can provide.   Links:   Inboxing Engine: inboxingengine.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Cole Vandee's journey includes multiple business failures before finding success in email marketing. Data-driven email strategies can significantly increase open rates and revenue. AI is becoming essential for automating repetitive tasks in business operations. The integration of AI can help businesses scale without the need for extensive human involvement. Cole emphasizes the importance of not settling for industry averages in marketing metrics. AI can provide insights and recommendations based on data that humans may overlook. The future of business will require a push-button AI solution to remain competitive. Entrepreneurs must evolve to focus on solving new problems rather than getting bogged down in daily tasks. AI can help unlock new opportunities for business owners to innovate and grow. The separation between successful businesses and those struggling will widen as AI adoption increases. Chapters (00:00:00) - Introduction to AI in Business(00:01:28) - Cole Vandee's Journey to Inboxing Engine(00:03:48) - The Power of Email Marketing(00:08:55) - Integrating AI into Email Strategies(00:15:23) - The Future of AI in Business Operations(00:20:18) - Conclusion and Call to Action

In this episode of the AI Chronicles podcast, host Kyle James interviews Peter Murr, founder of CourseAgent AI, about the integration of AI in course creation. Peter shares his journey from founding MeLearning to developing CourseAgent, a tool designed to streamline the process of creating online courses using AI. The conversation covers the workflow for creating AI-driven courses, the importance of contextualizing learning, and the impressive results seen from testing the platform. Peter also discusses future developments, including automated course updates and the challenges of image generation in AI.   Links:   CourseAgent: courseagent.ai   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: CourseAgent AI aims to simplify course creation using AI. The workflow for creating courses involves understanding the target audience and course complexity. Contextualizing learning scenarios enhances engagement and relevance. AI can significantly reduce the time required to create courses. The importance of detailed prompting in AI for effective course design. Future developments include automated course updates and refresher courses. Image generation remains a challenge in AI-driven content creation. The platform allows for personalized learning experiences. Feedback from users helps refine the course creation process. AI can transform traditional training methods into more efficient solutions. Chapters (00:00:00) - Introduction to AI in EdTech(00:00:58) - The Journey of CourseAgent AI(00:04:52) - Workflow for Creating AI-Driven Courses(00:11:18) - Contextualizing Learning for Better Engagement(00:15:06) - Testing and Results of CourseAgent AI(00:20:50) - Future Developments and AI Initiatives(00:23:29) - Conclusion and Resources

In this episode of the AI Chronicles podcast, host Kyle James interviews William Hollis, founder and CEO of Raise AI, a company that leverages AI to streamline capital raising in real estate. Hollis shares his journey from a self-taught software engineer to a successful entrepreneur, emphasizing the importance of coaching and collaboration in achieving business success. The conversation delves into how Raise AI utilizes AI tools to enhance investor communication, automate processes, and improve overall efficiency in capital raising. Hollis also discusses future initiatives for the company, including an AI-driven investor relations tool that aims to connect investors with opportunities more effectively.   Links:   Raise AI: theraiseai.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Raise AI uses AI to streamline investor communication. William Hollis's journey began with a fascination for technology and real estate. Joining a mastermind helped Hollis learn effective capital raising strategies. Coaching can significantly enhance personal and professional results. AI tools can increase the number of investor calls booked by 30-50%. Hollis transitioned from offering free services to charging clients for his expertise. AI is used at every step of the capital raising process at Raise AI. The importance of accountability in mastermind groups is crucial for success. Future AI initiatives include an investor relations tool connected to multiple opportunities. The rising tide of AI will benefit all clients of Raise AI. Chapters (00:00:00) - Introduction to AI in Real Estate Capital Raising(00:02:10) - William Hollis: Journey to Founding Raise AI(00:05:53) - The Importance of Masterminds and Coaching(00:09:28) - Transitioning from Free Work to Paid Services(00:11:01) - Leveraging AI in Capital Raising(00:14:48) - Results and Impact of AI Tools(00:16:38) - Future AI Initiatives at Raise AI

In this episode of the AI Chronicles podcast, host Kyle James interviews Jim Edwards, the owner of CopyAndContent.ai, about the integration of AI in content creation and sales copy. Jim shares his journey of developing a software platform that utilizes AI to streamline the writing process, emphasizing the importance of personal storytelling and the common pitfalls businesses face when implementing AI. He discusses the building blocks of effective sales copy and how AI can enhance rather than replace human creativity. The conversation concludes with insights into the future of AI in content creation and the importance of maintaining a personal touch in marketing efforts.   Links:   CopyAndContent.ai: copyandcontent.ai   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: AI can significantly reduce the time needed to create content. The building block approach to writing sales copy is essential. Common mistakes include relying solely on AI-generated content. Adding personal stories enhances the effectiveness of marketing. AI should be seen as an accelerator, not a replacement. Understanding your audience is crucial for effective copywriting. Avoid using generic prompts; specificity is key. The integration of voice AI can enhance content creation. Personal experiences add unique value to content. Continuous iteration and improvement are vital in AI applications. Chapters (00:00:00) - Introduction to AI in Business(00:01:28) - The Journey of CopyAndContent.ai(00:03:19) - Implementing AI for Content Creation(00:07:26) - Building Blocks of Effective Sales Copy(00:11:24) - Common Mistakes in AI Utilization(00:15:04) - The Importance of Personal Touch in AI Content(00:17:58) - Future of AI in Content Creation

In this episode of the AI Chronicles podcast, host Kyle James interviews Courtney Kos, founder of Prévoir, an AI-driven planning tool for the fashion industry. They discuss how Prévoir leverages computer vision and machine learning to help fashion brands analyze product performance, optimize assortments, and forecast trends. Courtney shares insights on the challenges faced by fashion brands in data analysis, the onboarding process for Prévoir, and the future of AI in fashion analytics.   Links:   Prévoir.ai: prevoir.ai   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Prévoir was founded to address the lack of fashion-specific data analysis tools. Many fashion brands still rely on Excel spreadsheets for inventory planning. Computer vision has significantly improved, making data analysis easier and cheaper. User interface design is crucial for effective data presentation. Brands can onboard Prévoir in about 30 minutes, streamlining the integration process. Contextual data is essential for understanding sales performance. Fashion brands are looking to keep teams leaner amidst industry challenges. Prévoir is currently in beta, gathering feedback from pilot brands. AI can automate reporting processes for fashion brands. Internal data is the primary driver for fashion planning, not just external trends. Chapters (00:00:00) - Introduction to AI in Fashion(00:01:49) - The Birth of Prévoir(00:02:00) - Identifying the Need for AI(00:04:52) - Implementing Computer Vision in Fashion(00:08:10) - Onboarding Process for Brands(00:10:40) - Results and Feedback from Clients(00:12:23) - Future AI Initiatives at Prévoir(00:15:58) - Conclusion and Resources

In this episode of the AI Chronicles podcast, host Kyle James speaks with Zac Engler, Chief AI Officer at C4 Tech Services, about the practical applications of AI in business. They discuss Zac's journey in the AI field, the importance of understanding AI's impact on productivity, and the psychological implications of AI interactions. Zac shares insights from his upcoming book, 'Turning on Machines,' which explores the evolution of AI and its potential future. The conversation also covers the process of implementing AI in organizations and the significant productivity gains that can be achieved. Finally, they touch on the future of AI and robotics, emphasizing the need for businesses to adapt and prepare for the changes ahead.   Links:   Bodhi AI: bodhiai.io   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: AI is a transformative technology that can enhance business efficiency. Understanding practical use cases of AI is crucial for businesses. Zac Engler has been involved in AI since before its mainstream popularity. The book 'Turning on Machines' explores the historical and future implications of AI. AI can significantly reduce time spent on tasks like note-taking and transcription. C4 Tech Services offers tailored AI training for businesses at different stages. Productivity gains of 10-20% can be achieved with effective AI integration. The psychological impact of AI interactions is an important consideration. Businesses need to strategize their AI rollout to maximize benefits. The future of AI could lead to significant societal changes, both positive and negative. Chapters (00:00:00) - Introduction to AI Chronicles and C4 Tech Services(00:01:29) - Zac Engler's Journey in AI(00:05:39) - The Concept of 'Turning on Machines'(00:11:22) - Implementing AI in Businesses(00:19:19) - Future of AI and Robotics

In this episode of the AI Chronicles podcast, host Kyle James speaks with Dave Benton, CEO of Metajive, about the integration of AI in their digital design business. They discuss the origin of Metajive, the challenges and successes of implementing AI, and the differences between lazy and engaging AI usage. Dave shares insights on the results of AI implementation, how it supports creative processes, and future initiatives for AI within the company. The conversation highlights the evolving landscape of AI in business and the importance of leveraging technology for innovation.   Links:   Metajive: metajive.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Metajive started from a series of fortunate contracts rather than a traditional job. AI is being used at Metajive to enhance creative processes and productivity. The difference between lazy and engaging AI usage can significantly impact outcomes. AI can support team members in areas where they may lack expertise. Implementing AI can lead to better quality outputs than traditional methods. The importance of building relationships and networking in securing opportunities. AI tools are evolving, and businesses must adapt to leverage them effectively. Future initiatives include automating internal operations and enhancing client services with AI. AI is seen as a transition in technology, similar to past shifts in the industry. The conversation emphasizes the excitement and potential of AI in shaping the future of business. Chapters (00:00:00) - Introduction to AI in Business(00:01:31) - The Origin Story of Metajive(00:04:28) - Implementing AI at Metajive(00:07:34) - Lazy vs. Engaging AI Usage(00:10:59) - Key Results from AI Implementation(00:17:59) - Future AI Initiatives at Metajive

In this episode of the AI Chronicles podcast, host Kyle James speaks with Bri Leever, CEO of Ember Consulting, about the integration of AI in community building. They discuss the challenges of monetizing communities, the importance of understanding community models, and how AI can enhance efficiency and member engagement. Bri shares insights on the differences between education-centric and connection-centric communities, and how AI can play a pivotal role in both. The conversation wraps up with resources for listeners to learn more about community building and AI implementation.   Links:   Ember Consulting: emberconsulting.co   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Ember Consulting was founded to help brands build communities. AI can improve efficiency in community management. Understanding the community model is crucial for monetization. Paid communities are gaining acceptance as skepticism towards free communities grows. AI can help members find information faster and more effectively. Connection-centric communities focus on networking and relationships. Education-centric communities provide structured learning experiences. AI can facilitate meaningful connections between community members. The first month of community engagement is critical for retention. Bri's podcast, Dear Bri, offers valuable insights into community strategy. Chapters (00:00:00) - Introduction to AI in Community Building(00:03:05) - The Birth of Ember Consulting(00:05:18) - Understanding Community Models(00:09:01) - Implementing AI at Ember Consulting(00:14:35) - Revenue Strategies for Communities(00:20:49) - AI's Role in Education vs. Connection(00:26:16) - Conclusion and Resources

In this episode of the AI Chronicles podcast, host Kyle James speaks with Dan Nestle, founder of Inquisitive Communications, about the integration of AI in public relations and communication services. Dan shares his journey from corporate communications to starting his own AI-powered consultancy, the challenges faced in content creation, and the tools he utilizes to enhance client engagement. The conversation also explores the future of AI in business, the importance of training, and the innovative initiatives Dan is developing to further leverage AI in communications.   Links:   Inquisitive Communications: be-inquisitive.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: Dan Nestle emphasizes the importance of a strong personal brand in the age of AI. AI tools can significantly streamline content creation processes. Understanding client needs is crucial before introducing AI tools. Notebook LM is a powerful tool for content creators to synthesize information. AI can save time and improve the quality of client communications. Training employees on AI usage is essential for innovation. The future of AI in communications will focus on niche, high-quality content. Dan's methodology, the Executive Influence Engine, is designed to enhance client engagement. AI can help solopreneurs manage their time and content more effectively. The need for effective prompting skills in AI usage will continue to grow. Chapters (00:00:00) - Introduction to AI in Communications(00:02:34) - The Origin Story of Inquisitive Communications(00:05:19) - Leveraging AI for Content Creation(00:10:33) - Tools and Strategies for AI Implementation(00:13:55) - Client Success Stories and Results(00:17:21) - Future Directions and Innovations in AI(00:19:58) - Training and Development in AI Usage

In this episode of the AI Chronicles podcast, host Kyle James speaks with Darren Darnborough, co-founder of WeAudition, about the integration of AI in the entertainment industry, particularly in the audition process. They discuss how WeAudition provides a platform for actors to connect with scene partners on demand, the challenges of using AI in a traditionally hesitant industry, and the potential benefits of AI for actors and producers alike. The conversation highlights the importance of AI in streamlining processes, enhancing performance, and providing valuable insights for actors preparing for auditions.   Links:   WeAudition: weaudition.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: WeAudition is a platform that connects actors for auditions. AI can help actors research roles and understand character depth. The acting industry has been slow to adopt AI technologies. AI can expedite coding and feature updates for digital platforms. Actors often need another actor to rehearse lines with. Feedback from experienced actors can improve audition tapes. AI can assist in contract analysis for actors. Using AI can save time in the audition preparation process. WeAudition aims to solve the problem of finding scene partners. AI can provide insights into directors and production styles. Chapters (00:00:00) - Introduction to WeAudition and AI in Entertainment(00:01:29) - The Evolution of Auditions and WeAudition's Role(00:06:11) - Integrating AI into WeAudition's Operations(00:11:08) - The Future of AI in the Entertainment Industry(00:16:30) - Conclusion and Resources for Actors

In this episode of the AI Chronicles podcast, host Kyle James speaks with Andy Crestodina, co-founder and CMO of Orbit Media Studios, about the integration of AI in digital marketing. They discuss the evolution of Orbit Media, the impact of AI on SEO and marketing strategies, and how businesses can effectively implement AI to improve their processes. Andy shares insights on addressing common concerns about AI, the importance of gap analysis, and the future of AI initiatives in marketing.   Links:   Orbit Media Studios: orbitmedia.com   GPT Trainer: Automate anything with AI -> gpt-trainer.com   Key Moments: AI is transforming the way marketers approach content creation and SEO. Identifying gaps in marketing strategies is crucial for improvement. Training AI on specific target audiences enhances its effectiveness. AI can be used for persona-driven gap analysis to improve content. Marketers should focus on using AI to find deficiencies rather than just efficiencies. Custom GPTs are becoming a valuable tool for marketers. AI can help improve conversion rates and lead generation. The integration of AI into workflows can streamline processes. Understanding the impact of AI on traffic and engagement is essential. Continuous experimentation with AI tools is necessary for success. Chapters (00:00:00) - Introduction to AI in Marketing(00:01:19) - The Journey of Orbit Media Studios(00:03:08) - Impact of AI on SEO and Marketing(00:04:56) - Concerns and Questions Surrounding AI(00:07:13) - Using AI for Targeted Solutions(00:08:38) - Workflow Integration of AI(00:11:06) - Results from AI Implementation(00:13:24) - Identifying Gaps for Improvement(00:15:57) - Future AI Initiatives and Custom GPTs(00:17:48) - Conclusion and Resources