Grounded in Ag - -: AI Panel

summary & bio

1 / 1

Artificial intelligence is rapidly changing the landscape of the agricultural industry, and this lesson offers an insider’s view into how AI tools are being integrated into day-to-day agricultural communications, marketing, and research. Whether you’re just getting started in ag or considering how technology might impact your career, this session illustrates how AI can streamline everything from press releases to risk management and public relations. The session highlights concrete use cases, demonstrates live tools, and addresses both the excitement and growing pains associated with adopting new technology in farming, ag business, and communications. People new to the agricultural industry will find this lesson especially engaging because it reveals not only the practical efficiencies gained by AI but also presents honest conversations about ethical concerns, data security, and how to balance AI’s capabilities with human creativity. The panel dives into real-life examples, such as customizing messaging for local markets, monitoring online risks, creating AI-powered summaries, and optimizing digital content to be discovered by both search engines and evolving AI platforms. **Key Topics & Moments:** - Overcoming overwhelm: Addressing the feeling of being inundated by AI and finding approachable entry points for beginners - Real examples of AI tools in ag communication, including Perplexity, CastMagic, and Descript - Using AI for efficient video transcription, content repurposing, and media writing - Building custom GPTs to automate large-scale, localized press release writing and internal messaging management - Integrating AI and social listening for real-time risk assessment and crisis communications - The impact of AI on search engine optimization (SEO) and zero-click searches in Google - Security considerations when working with AI tools, especially regarding proprietary or confidential client data - Panelists’ frank discussion of the limitations, biases, and occasional “hallucinations” of AI writing - Tackling organization-wide adoption of AI and managing buy-in with transparency and defined use cases - The importance of balancing technical optimization for AI with genuine, user-first human experiences - Tips and pitfalls related to using automated ad placements and the rise of AI-generated citations in online search --- ### Our Experts **Haley Banwart** Haley brings a unique perspective from both academic research and hands-on industry experience in agricultural communications. With advanced degrees in Ag Com from Iowa State and years of experience supporting local and national ag clients, she focuses on scalable content creation and leveraging AI to amplify—not replace—human creativity and outreach. **Casey Mills** Casey is a VP and Director of Social Media with a strong background in both digital strategy and practical ag experience. Having grown up in wheat country and worked closely with producer organizations, Casey specializes in integrating AI across various platforms to enhance research, communication strategy, and risk management for ag brands. **Kelly Stanze** As a Senior Discoverability Manager at a digital agency, Kelly’s expertise lies in making agricultural content findable on both traditional search platforms and evolving AI-driven engines. Her career spans social media, enterprise search for large companies, and freelance SEO work, making her a go-to specialist for optimizing both the technical and human sides of digital content. **Janice Person** Host and facilitator for this session, Janice is a seasoned communicator in the ag space who actively incorporates AI tools into her own workflow. She provides a “real-user” entry-level perspective, sharing her experience with popular AI apps and focusing on demystifying new technology for agricultural communicators and content creators.

Vocabulary & Definitions

1 / 1

Absolutely, I can help with that! Below is an alphabetized list of food production concepts and vocabulary used in this episode—terms that many Americans might not use routinely. Each word is defined as it was referenced or implied in the panel discussion. --- **1. Checkoff** - *Definition:* A program, usually commodity- or industry-wide (like beef or wheat), where producers contribute funds (often mandated) for collective marketing, research, and promotion. Mentioned in reference to “producer communications for the checkoff” and the limitations around how these communications are pre-approved. **2. Commodity** - *Definition:* A raw agricultural product that can be bought, sold, or exchanged, such as wheat, corn, or beef. While the exact word “commodity” wasn’t directly used, several speakers discussed specific sectors (like wheat, beef, or dairy) in the context of nationwide or coordinated marketing, which are typically referred to as commodities in agriculture. **3. Dairy Farmer** - *Definition:* A farmer specializing in the production of milk and dairy products, discussed in the context of interviews and examples (“two dairy farmers in Oklahoma, that’s Logan and Charles”). **4. Extension Services** - *Definition:* Organizations, often affiliated with universities, that provide research-based information and education (especially agricultural) to farmers and communities. Referenced as “major extension services seem to have more abundant resources on pork production…” **5. Grain Elevator** - *Definition:* A facility for storing bulk grain, typically used by multiple farmers/producers. Mentioned in “the grain elevator that my great grandfather helped build”. **6. Hallucination (AI Context)** - *Definition:* When referring to AI, a “hallucination” means the system produces information or text that sounds plausible but is actually invented or inaccurate. The term was used in reference to checking AI-generated agricultural content for accuracy. **7. Livestock** - *Definition:* Farm animals raised for commodities, such as meat, dairy, and eggs. Implied when referencing “diversified crop and livestock operation”. **8. Mastitis** - *Definition:* An infection of the mammary gland, usually in dairy cattle, often referenced in dairy farm contexts. Mentioned as a “vocabulary” term that might come up with AI-generated content for farming. **9. Media Backgrounder** - *Definition:* A prepared fact sheet or reference document (as opposed to a news release) given to journalists to provide context on an event or issue, referenced in the context of agricultural PR (“you need a media backgrounder, you need…or an invitation”). **10. Producer (in ag context)** - *Definition:* An individual or entity involved in farming or ranching, particularly one who grows crops or raises livestock for the market. (“Producer communications for the checkoff…”) **11. Rancher** - *Definition:* Someone who raises livestock, especially cattle, often on large tracts of land—referenced in “how do you do the assessment if you’re selling a cow, rancher, rancher”. --- Let me know if you'd like definitions for additional terms or need further breakdowns!

Related Websites & Organizations

1 / 1

Certainly! Drawing on the panel discussion—which covered AI tools, digital strategy, PR, risk management, and content development for agriculture—here are 15 highly trusted websites and specific pages within them, each valuable to professionals and communicators in the agricultural industry. These pages are selected for their relevance to the kinds of research, data-driven insights, communications, policy, digital best practices, and audience engagement discussed by the panel. --- **1. USDA National Agricultural Statistics Service (NASS) – Quick Stats Database** https://quickstats.nass.usda.gov/ An essential resource for up-to-date and historic agricultural data, NASS Quick Stats allows users to access and download a vast collection of crop, animal, and economic statistics for U.S. agriculture—ideal for analysis, reporting, and building credible content. **2. Ag Data Commons (USDA ARS)** https://data.nal.usda.gov/ A comprehensive repository of agricultural research data funded by USDA, supporting transparency, reproducibility, and AI-driven content development. Robust metadata supports easy search and integration into PR or digital projects. **3. Land-Grant University Extension Services Locator (NIFA/USDA)** https://nifa.usda.gov/land-grant-colleges-and-universities-partner-website-directory Find direct links to every U.S. state’s land-grant university extension program—trusted for fact sheets, extension bulletins, and expert-driven educational content on everything from livestock to commodity marketing. **4. CropScape – NASS Cropland Data Layer** https://nassgeodata.gmu.edu/CropScape/ Interactive visualization of U.S. cropland, helpful for mapping, localizing stories, and developing AI/PR content referenced by the panel’s best practices for engaging audience niches. **5. eXtension Foundation – Learning Network** https://connect.extension.org/ A collaborative digital space for ag professionals—find training, toolkits, and models for audience engagement and communication with the ag sector’s most trusted educators. **6. American Farm Bureau Federation – Issues and Insights** https://www.fb.org/issues/ Explores policy stances, advocacy insights, and factual backgrounders relevant to current events, giving communicators reliable source material for framing industry statements and campaigns. **7. Perplexity AI – Use Case Examples (Agriculture Focus)** https://www.perplexity.ai/ Perplexity was discussed as an AI research tool in the transcript. While the homepage is here, users can delve into agriculture-specific queries and see accurate, source-attributed answers, useful for fact-checking or research. **8. AgriMarketing – News & Analysis** https://www.agrimarketing.com/news.php Timely, curated industry news and trend analysis for agribusiness, agtech, and digital marketing, which can be repurposed for social media, PR, and content strategy work. **9. NAWG (National Association of Wheat Growers) – Issues & Insights** https://www.wheatworld.org/issues/ Details critical wheat industry advocacy, including health trends, misinformation counter-strategies, and enrichment campaigns—matching panel case studies on wheat industry communications. **10. Beef Checkoff – Research & Resources** https://www.beefboard.org/resources/ A collection of research summaries, consumer trends, and communication guidance for beef promotion—of direct relevance to the risk-mitigation and messaging strategies discussed. **11. Dairy Extension (Penn State) – Resources for Communicators** https://extension.psu.edu/animals-and-livestock/dairy Fact sheets, videos, and trainings for dairy communication, animal health topics, and consumer education with extension-backed credibility. **12. Center for Food Integrity – Research Library** https://foodintegrity.org/research/ Features audience trust research, communication strategies, and messaging templates on food and ag issues—a robust foundation for campaigns or AI-driven content creation. **13. North American Meat Institute – Education & Resources** https://www.meatinstitute.org/ht/d/sp/i/262/pid/262 Access key data, regulatory updates, and training modules supporting compliance, messaging, and consumer trust for red meat communications. **14. Kansas State University Ag Communications – Media Resources** https://www.k-state.edu/media/newsreleases/news-list/agriculture/ A trusted source for press releases, expert contacts, and backgrounders on Midwest ag, reflecting best practices for media relations. **15. Agrilife Learn (Texas A&M Extension) – Online Courses for Communicators** https://agrilifelearn.tamu.edu/ Offers professional development courses and modules focused on ag communications, rural issues, and audience engagement, supporting upskilling as AI transforms the landscape. --- *These resources were curated to align with the transcript’s focus on responsible information sourcing, up-to-date research, digital strategy, and the evolving role of AI and data in agricultural communications. They serve as primary inputs for anything from media campaigns to knowledge-base training for staff, as referenced by the panelists throughout the session.*

✍️ Quiz

1 / 1

Absolutely! Here is a 10-question quiz based on the content of the AI Panel transcript you provided, along with an answer key and rationale for each question. --- **AI Panel Quiz** **1. What was the main reason all panelists joined the session via Zoom?** A) They preferred remote work B) They had scheduling conflicts C) It allowed them to share their own computer screens to show different AI tools D) They were located in different countries **2. Janice Person described her position on AI use as:** A) Completely overwhelmed and avoids it B) Uses a few tools, relies heavily on some C) Avoids technology altogether D) Only uses AI for entertainment **3. What unique feature does Perplexity (as described by Janice) offer over regular ChatGPT?** A) It only answers yes/no questions B) It provides all sourcing and references for its information C) It creates videos automatically D) It doesn’t require prompts **4. According to Janice, what is a key factor in getting better results from AI tools?** A) Using the default settings B) Feeding as much detailed and relevant information as possible C) Running the tool at midnight D) Not telling it about your business needs **5. Which tool is used by Janice to process video and audio content, and then pull out custom outputs (titles, summaries, etc.)?** A) Gemini B) Cast Magic C) Canva D) Claud **6. In Casey Mills’s example, what was an important insight when using AI to play the role of an industry detractor during messaging strategy work?** A) AI refused to do it B) AI gave outdated responses only C) AI developed a realistic adversarial playbook and helped challenge “defense-only” thinking D) AI only gave positive feedback **7. What daily process did Casey Mills’ team automate with a custom GPT for risk management in social media?** A) Generating random content B) Checking weather updates C) Assessing the online “risk” level for posting as an agricultural checkoff D) Scheduling paid ads **8. Haley Banwart described a custom GPT built to help her PR team create:** A) Social media memes B) Personalized outreach scripts C) Multiple localized versions of a press release with different regional details D) Press conference videos **9. According to the panel, how do AI-powered search engines like Google’s new features impact organic traffic to websites?** A) They always increase website traffic B) They have no effect on SEO C) AI overviews and zero-click searches mean many users get their info without clicking a link D) They only show paid results **10. What security practice did panelists advise when using AI platforms with sensitive client information?** A) Always use the free version B) Never use passwords C) Use paid (subscription) versions and ensure data is not used for training D) Share client info freely online --- ### **Answer Key & Rationales** **1. C** *Rationale:* The panelists joined via Zoom so each could share from their own computer to demonstrate individual AI tools. **2. B** *Rationale:* Janice said she uses some tools and relies on a few heavily—not all-in, but not overwhelmed. **3. B** *Rationale:* Janice highlighted that Perplexity provides sources along with its answers, which sets it apart. **4. B** *Rationale:* She emphasized that the more context and relevant detail given to AI, the better and richer the response. **5. B** *Rationale:* Cast Magic was Janice’s tool for turning video/audio into transcripts, titles, summaries, and other custom outputs. **6. C** *Rationale:* Casey used AI to model a detractor, which led to insightful adversarial strategy and more critical thinking than only “defense” communications. **7. C** *Rationale:* His team created a custom GPT that checked the “risk” level each day for social posting—returning a DEFCON-style rating and advice. **8. C** *Rationale:* Her custom GPT generated tailored press releases for 60+ regions by swapping out local details while keeping standard language. **9. C** *Rationale:* Kelly discussed that AI overviews and zero-click searches often mean users don’t click through to sites, impacting organic traffic. **10. C** *Rationale:* Multiple panelists stressed the importance of using paid versions that don’t use your data for training, as opposed to free/public-facing AIs. --- Let me know if you’d like more in-depth questions or a shorter “true/false” format!

speakers

1 / 1

Based on the provided transcript, the speakers included in this video are: 1. Janice Person (Host; pronouns: she/her) 2. Haley Banwart (Guest) 3. Casey Mills (Guest) 4. Kelly Stanze (Guest) Let me know if you need more details about each speaker or their roles!

1️⃣ One Sentence Summary

1 / 1

AI tools transform ag communications: real use cases, challenges, opportunities.

Conclusion

1 / 1

In this panel discussion, we explored how AI is transforming communications and content creation within agriculture and beyond. Panelists demonstrated practical AI applications, such as using custom GPTs to automate press release generation and risk analysis for social media, and shared tips for optimizing web content to be discoverable by both search engines and AI-driven platforms. We also discussed important considerations around security, organizational buy-in, and the balance between technological efficiency and human creativity. These insights highlight the evolving role of AI as a powerful tool to enhance workflow while remaining mindful of its challenges and opportunities in the communications landscape.

🔑 Key Session Themes

1 / 1

Sure! Here are the key themes discussed in the panel, each summarized in 7 words or fewer: 1. AI adoption across different professional roles 2. Overwhelm and curiosity around AI integration 3. Practical AI tools for content creation 4. Custom GPTs for workflow efficiency 5. AI in risk analysis and social media 6. Search engine changes due to AI 7. Website optimization for both AI and humans 8. Training AI for specialized industry applications 9. Security and confidentiality in AI usage 10. Ethical considerations and self-regulation with AI

🔥 5 Conceptual Takeaways

1 / 1

Absolutely! Here are **five key themes** that emerged during the AI Panel, along with a main conceptual takeaway for each: --- ### 1. **Widespread Adoption and Varied Comfort Levels with AI** **Main Takeaway:** AI is becoming ubiquitous in professional settings, but individuals and organizations are at very different stages of adoption and comfort. There’s a mix of overwhelm, curiosity, tentative experimentation, and full integration across the panel and likely the audience as well. --- ### 2. **Use Cases: Efficiency, Content Creation, and Risk Management** **Main Takeaway:** AI offers practical value by streamlining repetitive tasks, generating tailored content, and synthesizing large amounts of information. Real-world examples included press release generation, risk analysis, regulatory compliance, and social listening. The right approach depends heavily on understanding the context, goals, and audience. --- ### 3. **The Importance of Prompt Engineering and Training Custom Tools** **Main Takeaway:** The effectiveness of AI tools relies heavily on the quality of the input and ongoing refinement (“prompt engineering”). Panelists emphasized building custom GPTs, feeding them relevant data/documents, and continuously tweaking instructions and prompts for more accurate, contextually relevant outputs. --- ### 4. **Transparency, Ethics, and Data Security Concerns** **Main Takeaway:** Ensuring ethical AI use and protecting sensitive data is top of mind, particularly when dealing with client or proprietary information. The panel discussed differences between free and paid AI tools, the importance of privacy settings, and clear team guidelines—along with appropriate human oversight and transparency with stakeholders about when and how AI is being used. --- ### 5. **AI’s Impact on Search, Content Discovery, and User Experience** **Main Takeaway:** AI is not only changing how content is created but also how it is surfaced and discovered online, especially through search engines like Google (AI overviews, zero-click search, SEO implications). There’s a need to balance optimizing for both AI and human users, ensuring accessibility, relevance, and trustworthiness to remain visible and valuable in a changing digital landscape. --- **Overall, the main conceptual message is:** AI is a powerful, rapidly evolving tool that can enhance productivity and creativity—but realizing its value requires intentional integration, transparency, thoughtful prompt design, and continual adaptation to new challenges in data security, ethics, and user engagement.

📚 Timestamped overview

1 / 2

00:00 Navigating AI for Business Showcases

07:53 Video Editing & Transcript Tools

15:24 AI-Driven Wheat Marketing Strategy

17:24 Shifting to Offense in PR Strategy

26:50 AI Integration for Brand Management Tools

27:58 Building a Customized Chat Account

39:10 Custom GPT for Localized Releases

42:23 AI Tools for Marketing Messaging

48:12 "From Ag Chat to SEO Freelancer"

51:53 The Phenomenon of Zero Click Search

56:41 Google's AI Impact on Advertising

01:06:56 "Compliance Bot for Finance Clients"

01:07:41 "Creative Compliance Tools"

01:13:45 GPT Dependency and Self-Regulation

01:19:23 Securing Organizational Buy-In for AI

01:29:17 "Free vs. Paid AI Tools"

01:30:31 Understanding Custom GPTs

01:36:14 AI Integration in Search Engines

01:41:31 Group Picture Proposal

🎞️ Clipfinder: Quotes, Hooks, & Timestamps

1 / 4

Haley Banwart 00:33:03 00:33:13

Viral Topic - Embracing Diverse Perspectives in AI: "I do think it is really important to acknowledge that we do all bring different lenses and perspectives to AI based on the work we do and the different experiences we've had."

Haley Banwart 00:35:03 00:35:18

Preparing Students for an AI Future: "I do think it's also important for us to be thinking about not only how are we integrating AI into our workplace, but also what skills do we need to be preparing the future generation of bad communicators to be really successful in an AI driven future."

Haley Banwart 00:35:46 00:35:57

AI as a Powerful Assistant for Small Teams: "I think AI has huge potential, especially in those small team environments to be a really powerful assistant, whether that's performing administrative tasks or even repurposing content."

Haley Banwart 00:37:59 00:38:07

Viral Topic: How AI is Revolutionizing PR Workflows: "For the second year in a row, we were actually tasked with sending out 60 plus versions of a press release across a five state geography."

Haley Banwart 00:38:24 00:38:38

Viral Topic: Automating Tedious Work with AI
Quote: "And the first year that we did this project, we actually built all of those out manually, which you can imagine was a very painstaking process for writing, reviewing, and then manually uploading all of those into our distribution system."

Haley Banwart 00:39:31 00:39:48

Viral Topic: How AI Streamlines Press Release Localization: "And so the solution was a custom GPT again to build just those variable parts of the release. And I was able to do that by giving it those specific prompts as well as uploading documentation that essentially made the GPT serve as a database based on region."

Haley Banwart 00:40:20 00:40:45

Viral Topic: AI and Team Collaboration Revolutionize PR
"But the best part I think for me about this GPT in particular, is it also opened up accessibility to my team so I could actually share this GPT with other people on the PR team or even beyond that. And we could all be simultaneously working together to create these different release versions. And it fell on no one person's shoulders to get all those 60 plus versions created."

Haley Banwart 00:41:58 00:42:21

Viral Topic: Transforming Organizational Messaging with AI
Quote: "we essentially created one that would be trained on all the relevant source material. So it essentially became a living resource library that we could plug in all the inputs and then as we were developing the messaging, quickly pull from past examples and kind of weave together, you know, that cohesive narrative using the right brand, voice and tone."

Haley Banwart 00:43:13 00:43:35

Viral Topic: Revolutionizing Marketing with AI

"Probably the one that's a little more differentiated to us at Meeks is something called sam, which stands for Simulated Audience Mindset. And this is a relatively new AI power tool that we, our Data Science and Strategy team has rolled out to help agricultural marketers test and refine messaging. So it essentially simulates a farmer in real time."

Haley Banwart 00:44:30 00:44:40

Viral Topic: AI Voice Cloning in Marketing
Quote: "we actually cloned one of Our team members voices and so it presents an opportunity to, you know, have a more affordable option for some of our clients instead of hiring talent."

❇️ Key topics and bullets

1 / 1

Here’s a comprehensive sequence of topics that were covered in your AI panel transcript, with each main topic and its related sub-topics listed below for clarity: --- ### 1. Introduction and Panel Structure - Unique setup using Zoom for panelist computer sharing - The panelists’ approach to showcasing individual AI tools and use cases - Setting expectations about diverse takeaways rather than a uniform learning outcome ### 2. Audience Poll & Understanding AI Engagement - Gauging the room on AI overwhelm and curiosity - Quick survey: from AI novices to experts - The variety of ways participants currently interact with AI ### 3. Janice’s AI Tools & Workflow - Personal experience with AI and transition from overwhelm to productive use - **Perplexity** - Transition from ChatGPT to paying for Perplexity - Using it for tailored content creation (e.g., demo reels for classes/business) - Importance of providing detailed context to enhance AI output - **Cast Magic** - How it transcribes, summarizes, and generates video titles from content - Data privacy: applying AI to user content without sharing externally - Streamlining content workflow and repurposing for various formats - **Descript** - Generating short-form social videos from long-form content - Automated captioning and branding customization - Output fitting for platforms like TikTok and Instagram - Prompt-writing importance and targeting audience understanding ### 4. Casey Mills: AI for Research, Communication Strategies & Risk Analysis - Professional and agricultural background context - Workshop with the Wheat Foods Council: using AI to streamline strategy and research - **AI Tools Compared for Research:** - ChatGPT, Perplexity, Gemini, Copilot - Evaluating varying outputs (health claims about wheat) - **Role-playing with AI:** - Using AI to simulate detractor arguments - Mapping negative strategies and then counteracting with positive campaigns - Identifying gaps in existing content (e.g., lack of info on enriched wheat products) - **Content Strategy Innovations:** - Coordinating national wheat associations to create content that addresses identified gaps - Playing offense, not just defense, in industry communication - **AI for Social Media Risk Analysis:** - Problem: outdated social media messaging amid fast-changing online environments - Building a custom GPT ("Saint Beef Temp Checker") for daily risk assessments - Inputs: news, past issues, stakeholder dynamics - Output: DEFCON-level risk rating for posting - Team workflow: manual vs. potential for API automation - Adapting and refining AI instructions for accuracy and relevance - Team acceptance and workflow integration ### 5. Haley Banwart: AI for PR & Content Creation - Agricultural and academic background influencing AI perspective - Role at MEG and focus on long-form content and media outreach - Participation in agency’s “GPT Collaborator Group” (aka “AI Outlaws”) - **Custom GPT Case Studies:** - *Press Release Generator* - Problem: high-volume customized local press releases - Solution: GPT produces only variable elements, not whole releases - Team collaboration and productivity gains; results in increased media placements - *Strategic Messaging GPT* - Trained on extensive internal/client materials for brand-consistent messaging - Used to develop talking points, market-conditioning messages, and scalable updates - **Other Agency Use Cases:** - “Simulated Audience Mindset” tool (SAM) for testing messages with a virtual “farmer” - Bulk content generation (e.g., 400+ recipe descriptions) - Video AI for converting stills/motion, voice cloning - AI for data analysis and onboarding resources ### 6. AI Security, Confidentiality & Best Practices - Concerns about feeding sensitive company or client info into AI models - Importance of using paid/enterprise tools with data protection features - Organizational guidelines and transparency about when AI is used - Discussion on responsible data handling and risk awareness ### 7. Kelly Stanze: AI’s Impact on SEO, Digital Marketing & Search - SEO/search engine background and agency/consultancy transition - **Google AI Overviews in Search:** - Rise and mechanics of AI-generated overviews in Google results - Personalization of feed, “zero click search” phenomenon, and link inclusion - Impact on organic and paid search strategies - **LLM Search Engines & Optimization:** - Increasing share of searches happening within AI tools (ChatGPT, Perplexity, etc.) - Methods to “depersonalize” search (incognito mode) - Limitations and unpredictability of optimizing for AI-driven search vs. traditional SEO - **Technical/Content Optimization for AI:** - Structure: headers, alt text, content organization for improved crawlability - Desired content types: research, Q&A, timeliness, PR/backlinks - The balancing act: optimizing for AI (bots) while keeping human user focus - Accessibility and SEO overlap - **Generative AI Content Quality & Limitations:** - Examples of hallucination and odd outputs (headshots, EM dashes) - Choosing the right AI tool for the use case (e.g., ChatGPT vs. Canva for images) - Building and leveraging custom GPTs for repetitive or compliance-driven tasks ### 8. Real-World Implementation: Culture, Adoption & Disclosure - Strategies for organizational buy-in and overcoming internal resistance - The significance of open communication about AI use (“dirty secret” syndrome) - Examples of disclosure practices for AI-generated/coproduced content - Competitors and industry norms as drivers for AI adoption ### 9. Cautions, Risks & Future Considerations - AI “making people dumber” discussion: critical thinking, self-regulation, and balance - Recognizing limitations: risk of hallucinations, over-dependence, and loss of nuance - Security concerns with free vs. paid models; user data as product - Closing thoughts: AI as an amplifier for human creativity (not a replacement) ### 10. Open Q&A and Participant Contributions - Technical and jargon clarifications - Further detail on specific tools, security practices, and practical workflow - Audience sharing of experience and perspectives --- This outline captures the progression and depth of the panel discussion, showing how the conversation flowed from introductory comments and tool demonstrations to advanced use cases, search/digital marketing impacts, ethical/privacy considerations, and pragmatic team or cultural adoption.

questions

1 / 1

Absolutely! Here is a Q&A-style summary listing the questions that were asked during the panel—by both panelists (on behalf of the audience) and audience members themselves—along with the answers that were provided. All information here is taken directly from the transcript you provided. --- ## Q&A Summary from the AI Panel ### Q1: For CastMagic and Descript, can you do a landscape video or does it have to be portrait? **Asked by:** Kelly Stanze **Answered by:** Janice Person **Answer:** Yes, you can do landscape videos. Occasionally, you may need to drag things over a bit, but the system will generally line it up as it thinks it should. --- ### Q2: How much upfront effort does it take to set up CastMagic (for prompts and look/feel)? **Asked by:** Haley Banwart **Answered by:** Janice Person **Answer:** Setting up the look and feel in CastMagic is relatively quick, as you're feeding in your content and instructing it via prompts. The way you write the prompts and organize them really matters. For example, specifying the target audience (e.g., “new to agriculture”) helps tailor the output appropriately. --- ### Q3: For your custom GPT (Beef Temp Checker), does someone have to manually run it each day or can it be scheduled? **Asked by:** Kelly Stanze **Answered by:** Janice Person **Answered by:** Casey Mills **Answer:** You still have to click a button each day to run the check; it isn’t fully automated yet. Most AI tools still require prompting, but the process is simplified to a single button click with defined instructions about sources. --- ### Q4: Are there ways to integrate AI risk-checking/checks into other tools (e.g., social listening, brand reputation management)? **Asked by:** (Audience, as paraphrased by Kelly Stanze) **Answered by:** Kelly Stanze **Answer:** Yes, most modern AI tools have APIs that allow integration into third-party tools, such as social listening suites or reputation management platforms. It’s also possible to set up automation using coding languages like Python or SQL for custom workflows. --- ### Q5: When you program a custom GPT, do you just enter prompts or is there a more advanced setup? **Asked by:** (Audience/Panel, paraphrased by Cody) **Answered by:** Casey Mills **Answer:** It’s a lot of refining prompts and instructions until the tool gives consistent, reliable results. You add descriptions, custom instructions, knowledge files (background docs), and keep updating as you use it more. Sometimes, you even get the AI to help you write its own instructions. --- ### Q6: How did your team react to the introduction of the daily risk-checking AI tool? **Asked by:** Kelly Stanze **Answered by:** Casey Mills **Answer:** They were very open to it, especially after experiencing a painful incident where a tweet blew up unexpectedly. If a tool is at least 85% correct with its risk predictions, that’s already much better than before. The tool is used as part of daily routine content checks. --- ### Q7: (From audience) How do you create custom AI for your clients, and how do you handle data safety/confidentiality? **Asked by:** Audience member **Answered by:** Haley Banwart **Answer:** Custom GPTs are created using the paid version of ChatGPT, which allows for secure, in-platform data handling that does not push information into the public Internet. Data privacy is a priority, and only select platforms are used after internal vetting. --- ### Q8: (From audience) Is there a way to get unbiased Google search results, not tailored based on search history? **Asked by:** Audience member (unspecified, but responded to by Kelly Stanze) **Answered by:** Kelly Stanze **Answer:** You can achieve more objective results by using an “Incognito” window (in Chrome) or similar private browsing mode, which ignores your stored browser data and preferences during the search. --- ### Q9: If your website is optimized for AI (LLM) search, do you need to do anything differently for the user/human front-end experience? Or can it be “back-end” only? **Asked by:** Molly (paraphrased) **Answered by:** Kelly Stanze **Answer:** Good technical optimization and accessibility help both AI and users. Over-optimizing for AI at the expense of human experience is not recommended. Most best practices for search (like proper heading structure, alt text, accessible formatting) are good for both. --- ### Q10: What is a custom GPT and how hard is it to set one up? **Asked by:** Kelly Stanze (asked the audience for clarification) **Answered by:** Kelly Stanze **Answer:** A custom GPT is a recurring function within ChatGPT: like creating a reusable Word doc for a specialized task. They can be tuned and trained for specific workflows and are pretty easy to create with the paid version of ChatGPT. --- ### Q11: (From audience) What AI tool do you use to check the authenticity or “humanness” of written content? **Asked by:** Brandi (paraphrased) **Answered by:** Kelly Stanze **Answer:** You can actually use ChatGPT itself: instruct it to check for indicators of AI-authored content. Crafting a clear prompt asking for an authenticity audit is the key. --- ### Q12: (From audience) Have you run into cases where you can’t trust the vocabulary or accuracy of what AI gives back? What do you do about that? **Asked by:** Audience member, Carol (paraphrased) **Answered by:** Janice Person, Kelly Stanze, Haley Banwart, Casey Mills **Answers:** - You have to provide good context prompts, supply trusted resources, and specify desired vocabulary and tone (e.g., for a “dairy farmer using veterinarian terminology”). - AI “hallucinates” sometimes, like a child making things up. Always check results for errors or mismatches. - For client bots, repeated testing, refining, and uploading reference documents (brand standards, key terminology, legal docs) are necessary to keep outputs reliable. - Paid versions and custom instructions are recommended for quality; free tools are much less dependable. --- ### Q13: (From audience) How do you get organizational buy-in for using AI tools, especially if people are skeptical or concerned? **Asked by:** Audience member **Answered by:** Casey Mills **Answer:** Be upfront about using AI and clearly communicate the use cases, security measures, and boundaries. Present value through demos and by outlining safeguards. Competitors and detractors are already using these tools, so it’s important not to fall behind. Outline usage policies and ensure transparency. --- ### Q14: What’s the difference between free and paid AI (e.g., ChatGPT) regarding security? **Asked by:** Janice Person (paraphrased from conversation flow) **Answered by:** Casey Mills, Kelly Stanze, Janice Person **Answers:** - Paid versions of ChatGPT allow you to toggle off data use for model training, keeping your content private. - Free versions use your data to train the model and your information could “leak” later. - When handling anything confidential (news, client data, etc.), always use the paid/secure versions and avoid freeloading tools. --- ### Q15: (From audience) Are there any differences in how AI interacts with alternative search engines, like DuckDuckGo? **Asked by:** Audience member (paraphrased) **Answered by:** Kelly Stanze **Answer:** All major search engines are building in AI layers—some more visibly than others. Even non-mainstream engines (e.g., DuckDuckGo, Baidu) will be incorporating AI modes. Google is the leader, but Bing is most used by current LLMs like ChatGPT and Perplexity. --- ### Q16: What are the differences among various large language model tools—e.g., ChatGPT, Claude, PI? **Asked by:** Janice Person **Answered by:** Kelly Stanze **Answer:** They’re all slightly different: - **ChatGPT** is the largest, most feature-rich, and “smartest” due to its vast data set. - **Claude** (by Anthropic) is more focused on ethics and morality. - **PI** is tuned for emotional intelligence and human-like conversation. Choose based on your specific needs: technical, ethical, or conversational. --- If you’d like a more streamlined FAQ or a grouping by topics (e.g., security, practical use, search/SEO, organizational adoption), let me know!

🌟 3 Fun Facts

1 / 1

Sure! Here are three fun facts from the panel: 1. One panelist’s wife was a cheese influencer for the Wisconsin Cheese Board, and they used to host cheese parties. 2. Panelist Kelly Stanze generated a headshot using AI, but ChatGPT hilariously changed her outfit and even her facial features—Canva did a better job! 3. At one agency, they formed an AI interest group called the “GPT Collaborator Group”—but they prefer calling themselves the “AI Outlaws.”

🎒 Session Worksheet

1 / 1

**AI Panel Worksheet: Exploring Practical Uses and Impacts of AI** This worksheet is designed to help you reflect on and reinforce the key ideas discussed in the AI Panel. Use the prompts and activities to deepen your understanding of artificial intelligence tools, their real-world applications, and important considerations for their responsible use. --- ### 1. Knowledge Check: Key Tools and Concepts Match each tool or concept with its correct description. (Fill in the blanks) A. **Perplexity** B. **CastMagic** C. **Descript** D. **Custom GPT** E. **Zero Click Search** F. **Hallucination (AI context)** 1. _____: An AI tool that provides answers along with sourcing, similar to ChatGPT but with more cited references. 2. _____: An AI-powered platform used for audio and video content—providing transcriptions, summaries, and key takeaways. 3. _____: A tool that creates short social videos from existing content and automatically adds captions and branding. 4. _____: A tailored version of an AI chatbot or assistant, built for a specific use case with custom instructions or data. 5. _____: When an AI tool generates information that isn’t accurate or makes up details not found in the provided context. 6. _____: A search result that provides answers directly without requiring the user to click through to a website. --- ### 2. Short Answer: Reflection and Application Answer these questions using information from the panel. Write your thoughts in a few sentences. **a.** How can specifying audience and context in your AI prompts improve the quality of the results you get? Give an example from the panel. **b.** What are some advantages of using tools like CastMagic and Descript for content creators, especially those working with video and audio? **c.** Why is it important to give AI clear instructions and, in some cases, multiple data sources or sets of guidance? --- ### 3. Discussion: Challenges and Ethics Discuss with a partner or write your own answers. **a.** The panelists talk about security and privacy concerns when using AI tools. What are some best practices organizations should use to protect sensitive information? **b.** AI tools can sometimes make people more productive—but there’s a risk of over-reliance. What are some ways to make sure you’re using AI to amplify your own creativity and skills, rather than letting it replace your critical thinking? --- ### 4. Scenario Practice Read the scenario and answer the questions. *You are part of a small communications team tasked with creating personalized press releases for different regions. Your team considers using AI to speed up the process.* **a.** What are some steps you might take, based on the panel’s experiences, to set up your AI to handle this task effectively and safely? **b.** After running your press releases through the AI, what should you do before sending them out to ensure quality and accuracy? --- ### 5. Quick Quiz Circle True or False. a) You should never use AI tools to work with any personal or confidential information, even if you pay for a secure version. True / False b) Custom GPTs can be passed among team members to collaborate on projects more efficiently. True / False c) AI always knows the context and user’s needs, so giving background info isn’t necessary. True / False d) AI-generated search results are already changing how people find and access information online, making traditional website visits less common. True / False --- ### 6. Vocabulary Builder Define the following terms as used in the AI Panel: 1. Persona (in AI strategy) 2. Prompt Engineering 3. DEFCON rating (in the context of AI reporting) 4. API (as mentioned for integration with other tools) --- **BONUS ACTIVITY:** Experiment with an AI tool you have access to (such as ChatGPT, Perplexity, or Descript). Try customizing a prompt for your needs, or review one piece of content it produces. What worked well, and what would you change next time? --- **End of Worksheet** Use this sheet to guide your learning or as a jumping-off point for team discussions about incorporating AI responsibly and effectively!

blog post by Janice

1 / 1

**Discovering AI for Agriculture: Making Sense of the Latest Tech Tools with Grounded in Ag** At Grounded in Ag, our mission is to simplify the complexities of agriculture—especially for those who are new to the industry. Each of our courses builds a bridge between newcomers and the real-world insights needed to thrive in crop and livestock sectors. In this blog, we’re recapping our latest lesson: an engaging panel discussion on Artificial Intelligence (AI), tailored specifically for ag professionals navigating cattle, crops, and beyond. ## Why AI Matters in Beef & Crop Production Let’s face it: technology is moving fast, and nowhere is that clearer than in AI. If you’re new to agriculture—whether your world is wheat fields or cattle ranches—the talk about AI can feel overwhelming. Our lesson on AI broke down the “buzz” and went deep into practical, relatable examples from panelists working directly with beef and crop producers. It’s all about cultivating that foundational knowledge we prioritize at Grounded in Ag. ## Courses Ready When You Are—Even with AI Onboarding new employees in the ag industry isn’t just about learning *what* we do, but *how*—and *why.* With AI, there’s both excitement and confusion: Which tools should you use? How do you make sure sensitive data stays private? Our course material includes demos and step-by-step guides that help you cut through the jargon, just like the panelists did with tools such as Perplexity, CastMagic, and Descript. The lesson illustrated how these tools can quickly generate usable content for farm communication, streamline routine tasks for beef checkoff programs, and even strategize better responses to public challenges facing wheat and beef sectors. Shortening the learning curve isn’t just about passing on information—it’s about giving you a safe space to experiment and ask questions. Our “AI in Ag” lesson revealed that it’s okay to feel overwhelmed, and that discovering the right questions to ask is what gets you moving forward, whether you’re optimizing cattle market messaging or producing crop extension materials. ## Created with Connections in Mind Grounded in Ag is about more than just online content. Our AI panel was unique: Every speaker, from beef promotion experts to crop communications strategists, shared *how* they use AI, not just *that* they use it. The session encouraged everyone to think about what works for their slice of agriculture—because every enterprise, from dairy to wheat, is a little different. Our discussion prompts and real-world demonstrations (even some troubleshooting mishaps shared by Janice Person, our host!) encourage managers and new hires to discuss how emerging tools fit with the realities of beef and crop operations. As one panelist pointed out, “understanding how to put information in really does reward you with better information on the output.” That’s why we pair our course content with ongoing discussions and community check-ins. ## Community & Content that Engages—Insights Beyond the Lesson The ag industry is built on trust, reputation, and adaptability. Our courses—whether focused on cattle, crops, or industry communications—go beyond the basics. The AI panel highlighted practical risk management (using custom GPTs for reputational monitoring on social media), efficiency hacks (automating press release drafting for multi-county wheat projects), and even cutting-edge search strategies so your farm, ranch, or agribusiness can stand out online. In typical Grounded in Ag style, our panelists didn’t shy away from tough questions—including data security, the real risks of automation and AI “hallucinations,” the impact on critical thinking, and even the nuts and bolts of optimizing your web presence for AI searches. We’re proud that our offerings create space for newcomers and ag leaders alike to learn together, laugh at the occasional AI-generated headshot gone awry, and discover how technology can actually *deepen* the trust and credibility that agriculture is built on. ## Ready to Get Grounded? If you’re new to agricultural communications, or eager to plug into the next big shift in cattle, crops, or ag marketing, Grounded in Ag is your launch pad. Our lessons are designed to meet you where you are—whether you feel lost in a “sea of overwhelm” or you’re eager to customize your own AI tool for the farm. Connect with our course community, join a live session, or bring your trickiest questions to our next SME panel. Because in the end, being grounded in ag means being ready for anything—including the fast-paced world of AI.

🔖 Social Media Post

1 / 1

Curious about how AI is actually being used in real-world communications, not just talked about? In this panel, a group of professionals from different backgrounds come together to show the practical side of artificial intelligence—how they're using it to make their work easier, smarter, and sometimes even more creative. You’ll get a glimpse into tools, custom solutions, and the surprises (and headaches) that come with embracing new tech. Whether you’re feeling overwhelmed by AI hype or simply wondering where to start, this session explores honest perspectives, actionable examples, and the realities behind the buzz—all without the jargon or lofty promises. Dive in to see how AI is changing the landscape and maybe, find a path that fits your own work style.

💭 Lesson Memo

1 / 1

**Memo to Viewers: Key Takeaways and Concepts from the AI Panel Discussion** Dear Viewers, I am delighted to present a comprehensive summary and reflection on the recent AI Panel session hosted by Janice Person, featuring Haley Banwart, Casey Mills, and Kelly Stanze. This insightful discussion offered a wealth of practical knowledge, examples, and considerations regarding the adoption and integration of AI within agricultural communications, PR, and digital marketing spaces. Below, I have distilled the essential concepts and actionable insights from the session for your continued learning and application. --- **1. The Ubiquity and Impact of AI** - The session began with a candid acknowledgment that AI is rapidly permeating nearly every aspect of business and daily operations. It is both a tool of efficiency and a subject of debate, particularly concerning its impact on our work, privacy, and even cognitive skills. - Panelists encouraged attendees to embrace curiosity and experimentation while navigating the sometimes overwhelming and evolving AI landscape. **2. Demonstrating Practical AI Tools** - The panelists shared several concrete, real-world examples of how various AI tools can drive tangible value: - **Perplexity**: Used for advanced research and content synthesis, providing not just responses but source citations, making it especially useful for validating information and gathering nuanced insights. - **Cast Magic**: Streamlines video and audio editing, generating transcripts, pull quotes, titles, and summaries from content—saving hours of manual work and enabling multi-channel content repurposing. - **Descript**: Facilitates the generation of social video snippets, tailored to platform requirements and branding, and allows bulk creation of short, contextually-relevant video pieces. **3. Building and Customizing AI Systems** - Panelists explored the development of **custom GPTs** (Generative Pre-trained Transformers) tailored to specific organizational needs, such as: - Automating the production of dozens of localized press releases while maintaining core messaging fidelity. - Synthesizing large volumes of internal data for consistent and timely strategic communications. - They emphasized the importance of methodical prompt engineering and the iterative refinement of AI outputs, highlighting that well-structured inputs yield more accurate, relevant, and creative results. **4. AI in Issues Management and Risk Analysis** - AI can assist in daily risk assessments for publishing sensitive content, such as monitoring social sentiment and creating dynamic dashboards that flag emerging risks and provide actionable recommendations for communication strategies. - Integrating AI with existing social listening and brand reputation tools is now possible via APIs and custom programming, significantly enhancing organizational agility and preparedness. **5. The Double-Edged Sword of Generative Tools** - While AI offers vast efficiency gains, the panel underscored its limitations—AI can hallucinate (fabricate information), default to generic outputs, or misunderstand nuanced tasks unless supplied with detailed context and constraints. - Human review remains non-negotiable, particularly where accuracy, compliance, or brand safety are concerned. **6. SEO and Discoverability in the Age of AI** - AI is reshaping digital search—tools like Google’s AI Overviews and large language models (LLMs) such as ChatGPT and Perplexity are altering how web content is surfaced and consumed. - Best practices in content structure (e.g., proper use of header tags, alt text, Q&A sections, timely updates) are becoming even more critical for AI and search engine discoverability. Technical soundness and clear information architecture help websites remain relevant as zero-click searches and LLM-powered answers become more prevalent. - AI tools favor data-rich, cited, and recent content, challenging communicators to optimize for both human users and ever-evolving digital algorithms. **7. Security, Confidentiality, and Ethical Considerations** - Confidential data should *never* be shared with free AI models; paid services offer enhanced privacy, limiting information exposure. - Disclose where and how AI tools contribute to your communication outputs, ensuring transparency and trust both internally and externally. - Monitor the ongoing legal, ethical, and regulatory developments shaping responsible AI use. **8. Organizational Culture, Change, and Adoption** - Successful AI integration requires organizational buy-in, clear guidelines, and open communication about use cases and safeguards. - Demonstrations, pilot projects, and frame-working around competitor and industry trends can facilitate adoption and lower resistance. **9. AI as an Amplifier, Not a Replacement** - AI should be viewed as a tool to amplify human creativity, expedite routine tasks, and reveal new insights—not as a replacement for critical thinking or expert judgment. - Self-regulation and strategic discretion are essential to avoid overreliance, complacency, or loss of core skills. **10. A Call to Continuous Learning** - AI is evolving at unprecedented speed. Embrace lifelong learning, experimentation, and interdisciplinary collaboration to remain agile and informed in this dynamic landscape. --- **Final Thoughts** This panel illuminated not only what is possible with today’s AI tools but also the strategic mindset and vigilance required to harness their full value. As you move forward, consider how AI can support your objectives while remaining conscious of its boundaries and the need for human oversight. Let curiosity, caution, and a commitment to quality guide your AI journey. Warm regards, *Prof. [Your Name]* [Department or Affiliation, if needed] --- **P.S.** For further exploration, review specific tool documentation (Cast Magic, Perplexity, Descript, ChatGPT) and consult your organization’s IT or compliance team regarding privacy and security requirements before deploying AI solutions at scale.

🧲 Lead Magnet

1 / 1

**Promotional Post:** 🚀 Ready to Get Ahead with AI in Agriculture & Communications? 🚀 Struggling to keep up with the explosive growth of AI tools? Want to SEE how industry experts are actually using AI (not just talking about it)? We’ve rounded up some of the most innovative professionals in ag comm, digital strategy, and content creation for a practical, behind-the-scenes AI panel. Watch as these experts share their real-world tools, use cases, and game-changing hacks for staying sharp and effective in a world where AI is becoming essential. 🔍 What You’ll Discover: - The best AI tools for content, video, and PR—and how to use them securely - Tips for leveraging custom GPTs, boosting productivity, and protecting your data - How to get your website and messaging ready for the coming flood of AI-powered searches - Real stories of integrating AI into team processes and agency workflows - Insights on balancing creative strategy, authenticity, and smart automation Don’t get left behind. Find out what’s working RIGHT NOW in AI for communicators, agencies, and ag industry pros—and see the future of content, PR, and digital engagement. 👉 Download our FREE Lead Magnet below to get the highlights, actionable tips, and tool recommendations straight from the panel! --- **Lead Magnet: "AI in Action: The Ag & Communications Power Panel Playbook"** Unlock the exact tips, tools, and workflows our panelists are using to simplify content creation, streamline PR, and future-proof their digital strategies. **You’ll Get:** ✅ An exclusive summary of top AI tools used (with real examples: Perplexity, Cast Magic, Descript, ChatGPT custom GPTs & more) ✅ Step-by-step workflows for content repurposing, social media risk assessment, and media outreach ✅ Secret prompts & prompt engineering tips that deliver BETTER, more relevant AI outputs ✅ Pro strategies for keeping your data safe and secure while leveraging AI’s power ✅ Website & SEO checklist for staying visible and relevant as search moves toward “AI first” ✅ BONUS: Our panel’s best practices for building team buy-in and evolving your AI strategy Get your free copy now and be the person everyone comes to for AI advice! 👉 [Download "AI in Action: The Ag & Communications Power Panel Playbook"](####) (*Insert your actual download link*) --- **Ready to lead the charge, not play catch-up? Download your playbook and start transforming how you work with AI—no jargon, just practical steps you can use TODAY.*** #AIPanel #AgComms #DigitalStrategy #AIinAg #ContentCreation #PRTools #AIPlaybook

🎓 Lessons Learned

1 / 1

Certainly! Here are 10 lessons covered in the event, based on the transcript, each with a short title and a brief description: 1. **Navigating AI Overwhelm** - Addressing common feelings of overwhelm and introducing different levels of AI familiarity within the professional community. 2. **Personal AI Tool Adoption** - Insights into individual panelists’ favorite AI tools and how real-world results fuel further experimentation. 3. **Effective Prompting Techniques** - The importance of precise instructions and context for improving AI-generated results in written and multimedia work. 4. **AI for Content Creation** - Streamlining press releases, summaries, and video edits using platforms like Cast Magic, Descript, and Canva AI tools. 5. **Custom GPTs in Practice** - How creating and training custom GPTs for repetitive communication tasks boosts efficiency while maintaining accuracy. 6. **AI for Risk Management** - Using AI, like custom GPTs, for real-time risk and sentiment analysis in industries with dynamic public communication needs. 7. **Optimizing Content for AI** - The impact of Google’s AI overviews and zero-click searches on web traffic, content structure, and digital strategy. 8. **AI in Team Collaboration** - Forming cross-functional AI groups to experiment, share, and scale insights and tools across an agency or organization. 9. **Security and Data Privacy** - Key differences between free and paid AI tools, and best practices for protecting confidential or client data. 10. **Balancing Human and AI Input** - Encouraging critical thinking, self-regulation, and ethical considerations when integrating AI, ensuring human creativity is amplified, not replaced.

repetition-edit

1 / 1

Absolutely! Here’s a condensed and focused outline you could use as a script to keep your visitors engaged, based directly on the provided transcript. This version selects only the most essential topics and removes repetitive or overly detailed sections, creating a streamlined, high-impact script. --- **AI Panel: Condensed Script Outline** **1. Introduction & Purpose** - Welcome & quick intro (Host: Janice Person) - Purpose: Share practical, real-world use cases of AI in agricultural communications - Note on format: Panelists joining via Zoom, showcasing their tools, possible tech hiccups **2. The State of AI Adoption (Host)** - Quick poll/acknowledgment of varying comfort levels with AI: overwhelmed, curious, already using, or fully integrated - Emphasize: Take away what fits best for your needs **3. Janice’s Top AI Tools & Learnings** - Briefly introduce three key tools: - **Perplexity:** Like ChatGPT, but with sources and more context-aware - **CastMagic:** Transcribes videos, generates takeaways, titles, summaries. Good for privacy and repeatable workflows. - **Descript:** Makes social-ready video clips with captions - Key insight: Quality of input leads to better output—be specific, define your audience (use cases: class demo reels, video summaries) **4. Panelist Case Study Highlights** - **Casey Mills – Research & Risk Management with AI** - Using AI for industry research, role-playing detractors, building proactive PR - Created the “Beef Temp Checker” GPT: Daily scan of industry news to assess communication risk, customizable, knowledge file-based - Core benefit: Real-time, team-friendly risk assessment for social content - **Haley Banwart – AI for Content & Scale** - Agency-wide AI Collaborator group approach - Created custom GPTs for: - Generating localized versions of press releases (cutting workload, minimizing error) - Building messaging libraries from various input sources—used for talking points, change management - Other uses: Simulating customer mindsets, copywriting at scale, onboarding resources - **Kelly Stanze – AI’s Impact on Search & Reputation** - How Google and search are being transformed by AI Overviews, zero-click searches - What matters now: Content structure (headings, Q&A), accurate alt text, marking up data - Technical best practices still crucial; build for humans first, optimize for AI second - Distinction between AI models (ChatGPT, Claude, Gemini) and how their search preferences affect discoverability **5. Key Tips & Cautions** - Importance of prompt engineering—be specific, clear, and repeat - Security: Always use paid, protected versions of AI tools for sensitive content; free versions may use your data to train their models - Transparency: Disclose when AI is used in content creation where appropriate - AI isn't magic—always human review and self-regulation needed - Ethical and accessibility implications of AI-generated content **6. Q&A & Wrap-Up** - Address common questions about authenticity detection, tool recommendations, organizational adoption, and best practices - Closing messages: AI is a tool to amplify, not replace, human creativity. Embrace experimentation, stay secure, and always keep the end user in mind. **7. Thank You & Connect** - Thank panelists and audience - Encourage further conversation and resource sharing --- **Suggestions for the Speaker/Panel:** - Use case studies as real-world hooks, not process walkthroughs—show outcomes and benefits - Limit demos to quick “before and after” snapshots where possible - Invite live Q&A at the end, not throughout, to keep audience energy up - Consider using interactive polls or asking for a show of hands to keep viewers engaged along the way Let me know if you’d like this converted into a direct, narrative script or need specific timing cues!

repetition

1 / 1

Yes, there are a few sections in the transcript where the panelists revisit similar topics or ideas, creating some degree of repetition. Here’s an overview of those areas, along with which version is more complete or compelling: **1. Custom GPTs and AI Use Cases** - **Topics Repeated:** Explanation of custom GPTs, how they're built, and their use in agency/client settings. - **Where It Occurs:** - Casey Mills discusses creating a custom GPT for risk analysis in social media management and detailed step-by-step how it was improved and fed with custom instructions. - A bit later, Haley Banwart covers her agency's approach, using custom GPTs for generating press releases and strategic messaging, also emphasizing team collaboration and updates. - Again, Kelly Stanze briefly circles back to the concept of custom GPTs when clarifying for the audience what they are, offering to show how to build one, and tying it into agency workflow. - **Which Version is Best:** Casey’s explanation is the most in-depth, providing details on the iterative process (“keep refining and refining,” using knowledge files, and giving specific examples with screenshots). Haley gives strong practical examples but is a little lighter on process detail. Kelly offers a concise summary aimed at helping newcomers understand the concept. If you want a step-by-step or strategic explanation, Casey’s is your best bet. **2. Security & Privacy Issues with AI Tools** - **Topics Repeated:** Concerns around client confidentiality and organizational hesitancy toward AI tools; distinction between paid and free versions for security. - **Where It Occurs:** - Audience members directly ask about data safety and the difference between free and paid GPT tools. - Both Haley and Casey weigh in on this more than once, detailing how they secure client information (use of paid GPT, data toggles, reading user agreements, etc.). - Janice Person also contributes her own pragmatic standards about what she’d input into an AI and emphasizes team transparency. - **Which Version is Best:** Casey provides specific tactics for securing data (toggle explanation, on differences between free/paid versions), so his contributions are the most actionable. Haley adds clarity by speaking to agency policy. Janice’s examples are user-focused but less technical. **3. Team Buy-in and Adoption of AI** - **Topics Repeated:** Getting teams and organizations on-board with using AI and how to address concerns. - **Where It Occurs:** - A direct question is posed about organizational buy-in and the perception that AI is a “dirty word.” - Casey gives a comprehensive answer, offering steps to address concerns, how to be transparent, and the value in demonstrating best practices. - Janice and others reinforce the importance of being up-front and transparent, but mostly echo Casey’s approach. - **Which Version is Best:** Casey’s initial answer is most complete, giving stepwise advice and real-world context about competitor use, risk of non-adoption, and sample frameworks. **4. SEO, H1 Tags, Website Structure, and AI’s Impact** - **Topics Repeated:** The importance of technical SEO, website headers, content structure, and optimizing for both AI and people. - **Where It Occurs:** - Kelly gives an in-depth section on AI search (Google, Bing, etc.), zero-click searches, schema, header tags, and how to format for both AI and humans. - A follow-up clarification from the audience prompts Kelly to explain H1 tags again in plain language. - There’s further discussion and questions on whether to optimize the backend for AI specifically and the principles of designing for bots vs. humans. - **Which Version is Best:** Kelly’s initial, detailed section provides comprehensive industry insights, trends, and actionable techniques. Her clarifications are useful for less technical listeners, but the main section is more compelling for understanding current best practices. **5. Trust, Hallucinations, and Prompt Engineering** - **Topics Repeated:** Reliability of AI output, prompt design, and how to check/verify results. - **Where It Occurs:** - Several panelists (especially Janice, Kelly, and Casey) discuss hallucinations, prompt writing, and the necessity of reviewing and refining AI-generated content. - They reemphasize (each with their own flavor) that effective AI use is heavily reliant on detailed and iterative prompts, and that checking for errors is essential. - **Which Version is Best:** Collectively, these insights reinforce each other. Casey’s comparison to “a child who wants to be loved” is especially effective at making the concept approachable, while Janice gives practical steps about context prompts and Kelly adds examples with compliance bots. **Summary:** The transcript does have some repetition—but often, it’s used to clarify, expand, or reframe a concept for a new context or audience member’s question. For anyone looking for the most thorough explanations of: - **Custom GPTs/process:** Go to Casey. - **Security and privacy:** Casey’s and Haley’s practical details. - **SEO/technical website optimization:** Kelly’s main section. - **Team buy-in:** Casey’s initial organizational buy-in answer. - **Trust and hallucinations:** All panelists, but Casey for the most relatable analogy. If you need direct quotes or want the exact locations of these sections, let me know!

What is Castmagic?