1. カテゴリ前
1.1. - Marketing with AI
1.1.1. - Prototyping
1.1.1.1. - Collaborated on refining a marketplace concept, leading to the creation of the BookShark brand with a distinct identity.
1.2. - Translation with AI
1.2.1. - AEI enabled translation across multiple languages, including Japanese.
1.3. - Goal Oriented
1.3.1. - Business use
1.3.1.1. - Experimenting with a concept aids memory and understanding, facilitating practical application and goal achievement in real-life or business contexts.
1.4. - Organizational Usage
1.4.1. - Coding with AI
1.4.1.1. - Company-wide use of co-pilot for coding and visuals.
1.5. - Documentation with AI
1.5.1. - Embed serivce
1.5.1.1. - Regularly uses Excel and PowerPoint, incorporating small refinements daily.
1.6. - Note taking
1.6.1. - Coding with AI
1.6.1.1. - AI tools facilitate sharing and collaboration, but are currently limited in development use, primarily aiding developers with specific tasks.
1.7. - Powerbalance
1.7.1. - AI is useful for enhancing research with additional insights, but relying solely on it can lead to generic outcomes; personal input is crucial for unique results.
1.8. - Downside
1.9. - Accesibility risk
1.9.1. - Concerned about future accessibility of online tools, fearing potential limitations due to reliance on server-based computing.
1.10. - Price issue
1.11. - Lower barrier
1.11.1. - Enhancement
1.11.1.1. - AI may lower technical barriers and enhance existing entrepreneurs' efficiency, but it hasn't significantly increased the number of new entrepreneurs.
1.12. - Opportunity
1.12.1. - AI facilitated access to new opportunities, enabling freelancers to easily generate and sell content, improving their market positions.
1.13. - Analyze
1.14. - Design with AI
1.14.1. - Experiment
1.14.1.1. - Time Efficiency
1.14.1.1.1. - AI accelerates the design and testing process, allowing for rapid experimentation and collaboration, reducing tasks that once took days to mere hours.
1.15. - Tools
1.16. - Coding
1.16.1. - Utilized various tools to streamline design and coding processes, with AI handling templates and manual input required for account setups, allowing focus on business logic and complex coding tasks.
1.17. - Legal
1.17.1. - Note Taking
1.17.1.1. - Frequently uses Notebook LM for analyzing articles, charts, and legal documents, and uploads meeting notes for follow-up actions.
1.18. - Transcript
1.19. - Uses notebook LM to generate transcripts by gathering information and preparing the final output.
1.20. - Recognizes AI's distinct style but chose not to engage with it in this instance.
1.21. - Forecast
1.22. - Automated pricing tool uses machine learning to adjust rates based on booking trends, updating multiple times daily; effective for larger rental portfolios, with potential for broader adoption.
1.23. - Needs of investment
1.23.1. - Long term
1.23.1.1. - Education
1.23.1.1.1. - Impressed by AI's data handling, the interviewee emphasizes the need for Estonia to invest in educational resources and infrastructure to keep pace with global advancements, particularly in AI and nuclear technology.
1.24. - Voice mode
1.24.1. - Natural
1.24.1.1. - Notifications are user-friendly, and voice technology has improved, aiding in educational support for children despite some language limitations.
1.25. - Replacement
1.25.1. - Needs of human
1.26. - Prototyping
1.26.1. - Core functionality of chat is operational despite some flaws and missing features.
1.27. - Contents creation
1.27.1. - Created a podcast using notebook lm, featuring a voice called "Mind, Matter, and Machines" available on Spotify.
1.28. - Contents creation
1.29. - Experiment
1.30. - Research with AI
1.30.1. - Monitors competitor websites for product changes and updates, finding it useful for tracking price changes and new market announcements.
1.31. - Risks
1.32. - Experiment
1.32.1. - Ownership
1.32.1.1. - Experimentation is necessary to ensure AI's effectiveness before making significant changes, as premature decisions can lead to failure.
1.33. - Social component
1.33.1. - Cognition
1.33.1.1. - Learning from discussions leads to new insights, and experience enhances problem-solving skills over time.
1.34. - Documentation with AI
1.35. - Data validation
1.35.1. - Quality Issue
1.36. - Tool selection
1.37. - Existing knowledge
1.37.1. - Powerbalance
1.37.1.1. - Do what you want
2. How can aspects of Entrepreneurial Resourcefulness (ER) be meaningfully augmented or automated using generative AI?
2.1. How can aspects of Entrepreneurial Resourcefulness (ER) be meaningfully augmented or automated using generative AI?
2.1.1. - Coding with AI
2.1.1.1. - Efficiency
2.1.1.1.1. - To innovate in tech, rebuild outdated systems with AI or leave the sector entirely; aiming to create a European tech infrastructure akin to major global platforms.
2.1.1.2. - AI and Copilot are extensively used in development alongside a developer.
2.1.2. - Marketing with AI
2.1.2.1. - Data Management
2.1.2.1.1. - Data Validation
2.1.2.2. - Image Generation
2.1.2.2.1. - Tool selection
2.1.2.3. - Used AI to draft newsletter ideas efficiently, later improved outputs with newer AI versions, finding advanced features like deep research invaluable for data-driven insights.
2.1.2.4. - Developed pricing algorithms and market infrastructure, organized a major tech conference, and revived a marketing management service, noting a renewed demand for human expertise in marketing despite initial AI-driven disruptions.
2.1.2.5. - Developing a commerce cloud platform to enhance e-commerce and loyalty programs using emerging technologies like web3 and AI, aiming to create sustainable, cost-effective business models and address inefficiencies in commerce logistics and data management.
2.1.2.6. - Provides step-by-step guidance for tasks like setting up Google Ads.
2.1.2.7. - AI has ability to check your website's SEO by entering the URL to see how search engines and LLMs interpret it, identifying any issues.
2.1.2.8. - I handle content creation, ad and cost optimization, PR, and research.
2.1.2.9. - Language tools ease writing challenges for non-native speakers.
2.1.2.10. - AI evaluates content against best practices, offering optimization recommendations.
2.1.2.11. - LLM analyzes Google ads data to optimize campaigns using top-performing keywords.
2.1.2.12. - In the beginning, Started using ChatGPT for website and content; now integrated into daily life.
2.1.2.13. - AI can optimize communication by timing messages to avoid spam, ensuring meaningful interactions with customers.
2.1.3. - Embed AI
2.1.3.1. - AI elements have been integrated into tools for years, often unnoticed, but recent generative models highlight their presence, shifting user behavior from traditional searches to AI-driven interactions.
2.1.4. - Data analyze with AI
2.1.4.1. - Initially, AI efforts focused on machine learning with curated data, but many companies lacked data awareness. By 2021, the focus shifted to supply chain protocols and games, with limited AI integration until JGPT's emergence in 2022.
2.1.4.2. - Utilizing AI to analyze extensive data from multiple stores, providing insights on optimal pricing and product offerings based on customer and geographic data.
2.1.4.3. - Image read
2.1.4.4. - Implemented a pricing experiment for rental properties using enriched event data and AI to optimize costs and adjust prices based on demand, aiming to balance profit and occupancy.
2.1.5. - Education
2.1.5.1. - The interviewee emphasizes the importance of a broad education to understand societal and financial systems, suggesting AI can enhance this understanding.
2.1.5.2. - Learning new skills is easier now, reducing the need for experts.
2.1.5.3. - Taught children to use AI for learning, emphasizing understanding over answers.
2.1.5.4. - Use AI to format essays and highlight errors for learning, acting as a personal teacher.
2.1.5.5. - People have different preferences. Her colleague dislikes reading but excels at processing auditory information, so she uses GPT or other LLMs for voiceovers, tailoring the tool to her needs.
2.1.5.6. - Uses AI to help children understand schoolwork and generate test questions, finding it effective for explaining complex topics.
2.1.6. - Private
2.1.6.1. - Her former colleague automated weekly orders based on consumption habits reduce the need for manual grocery management.
2.1.6.2. - Prefers private activities over mundane tasks like bill payments.
2.1.6.3. - Use AI as a search tool to become familiar with it before relying on it for work.
2.1.6.4. - I use custom GPTs for efficiency, managing allergies, and generating specific recipes. It's better than Google for search, writing, and reasoning, as I dislike lengthy data analysis.
2.1.6.5. - Meal planning for a family is repetitive and lacks creativity. AI can suggest meals based on preferences.
2.1.6.6. - An AI model was developed to automate grocery orders by analyzing a year's worth of purchase history.
2.1.6.7. - AI plans detailed family trips, considering preferences and travel limits.
2.1.6.8. - Prefers quick, satisfying meals under 30 minutes, enjoys Asian and Italian cuisine.
2.1.7. Brainstorming
2.1.7.1. - Brainstorming
2.1.7.1.1. - A child uses AI to generate new product ideas for a school marketplace, moving beyond previous successful projects to refine and innovate.
2.1.8. Communication
2.1.8.1. - AI improves email formatting but still requires human input for responses.
2.1.8.2. - Using ChatGPT as like as CRM to track journalist interactions; considering building a tool to monitor competitors. Current PR efforts are minimal.
2.1.8.3. - AI remembers personal details and tracks fundraising emails and meetings for efficient follow-ups.
2.1.8.4. - Human can't recall details from many conversations, but AI remember personal notes. I track communications and would integrate email, notes, and AI if needed.
2.1.8.5. - AI companionship could alleviate loneliness among the elderly.
2.1.8.6. - As a non-native English speaker, I find it very helpful for tasks like writing emails, as it enhances their quality.
2.1.9. Documentation
2.1.9.1. - Meeting notes are automated, enhancing efficiency, though some issues persist.
2.1.9.2. - Integrated AI tools like Notebook LM and Gemini in Google Workspace enhance document creation, showcasing AI's transformative potential.
2.1.10. - Research with AI
2.1.10.1. - Advancements in AI and 3D printing enable personalized treatment for rare diseases by replicating human tissue, surpassing traditional methods like using lab rats. Additionally, AI aids in stock market analysis by simulating expert strategies.
2.1.10.2. - Traditional Search
2.1.10.2.1. - Using LLMs for search simplifies tasks, offering relevant results faster than traditional search engines.
2.1.10.3. - Summarize
2.1.10.3.1. - Books can be summarized into key points, eliminating the need to read them entirely.
2.1.10.4. - Enjoys using AI for research.
2.1.11. - Translation
2.1.11.1. - Discussed Microsoft's Copilot, praised for language capabilities, despite personal preference for Apple.
3. How do entrepreneurs recognize the potential of generative AI, and how does this recognition influence its integration into entrepreneural activities?11
3.1. - Cognition
3.1.1. Necesarry Skill
3.1.1.1. - Creative thinking is essential as factual recall is less necessary with technology. Education still focuses on outdated methods. News and media are often misinterpreted as truth, but tools may emerge to validate content.
3.2. Integration with Border
3.2.1. Share the tasks
3.2.1.1. - The interviewee uses it to conduct research in areas where they can effectively direct inquiries.
3.2.1.2. - Humans are creative and innovative; repetitive tasks like copy-pasting may not be necessary.
3.2.1.3. - Used AI to draft newsletter ideas efficiently, later improved outputs with newer AI versions, finding advanced features like deep research invaluable for data-driven insights.
3.2.1.4. - AI can simplify certain tasks previously done by humans, though human involvement remains necessary for other tasks.
3.2.2. - Replace human
3.2.2.1. - AI is cost-effective by reducing the need for human hires.
3.2.2.2. I no longer require native English spearker and others, as everything can be accomplished with AI.
3.2.2.2.1. - A memorable story involves writing a press release with help of Native speaker.
3.2.2.3. - Overwhelmed by tasks, they considered hiring an assistant but now use a high-level tool instead.
3.2.3. Sotisphicated Undestanding
3.2.3.1. - Understand Limit of AI
3.2.3.1.1. - AI cannot replace the essential human relationships in entrepreneurship, such as engaging with customers and stakeholders.
3.2.3.1.2. Needs for Double check
3.2.3.1.3. - AI can't handle tasks like grocery shopping, but it manages my inbox. I seek a comprehensive solution but haven't found one yet.
3.2.3.1.4. - AI lacks creativity but can automate tasks, freeing our minds for creative pursuits.
3.2.3.1.5. - Table reading has improved over the past year, but image processing still needs work.
3.2.3.1.6. - AI lacks innovation and creativity, relying on existing knowledge, but there's potential for future development to create new solutions, requiring current users to guide it with expertise.
3.2.3.1.7. - AI is helpful but often produces excessive, meaningless content; specificity is needed for improvement.
3.2.3.2. Understand Suprior part of AI
3.2.3.2.1. - Increased efficiency allows for faster shipping and enhanced product offerings.
3.2.3.2.2. - Recognizing its ability to accelerate processes, I appreciate how it enhances the speed of science and healthcare advancements.
3.2.3.2.3. - Trying new things becomes easier for those willing to give it a chance.
3.2.3.2.4. Awarenewss of Efficiency Booster
3.2.3.2.5. - Faster process
3.3. - Longterm View
3.3.1. Needs / Sugestion
3.3.1.1. - Training scientists in AI can accelerate innovation and solve data-related problems, offering hope for climate and other challenges.
3.3.1.2. My concern isn't about technology taking over, as that requires human intent, but rather how societies will adapt. I believe our leaders and politicians are not adequately considering this issue.
3.3.2. Adoption Curve
3.3.2.1. - Innovation occurs faster over time, but still requires patience.
3.3.2.2. - AI adoption follows a typical curve, starting with innovators and eventually reaching the majority. It takes time, similar to the internet, as society gradually adapts. Some may resist, like those who dislike mobile phones.
3.3.2.3. - Initial ideas about moving computers were sparked by others, but true innovation took decades, with robotics and AI still evolving; while some overestimate progress, practical applications remain limited to experts, as general users adapt slowly.
3.3.3. New Opportunity
3.3.3.1. Entrepreneurship with AI
3.3.3.1.1. - Businesses don't need to be unicorns; they can still benefit society and generate income.
3.3.3.1.2. - AI can teach various skills, but success depends on individual capability.
3.3.3.2. - AI is accessible to everyone.
3.3.3.2.1. - Consider diverse paths: start a small business, create solo AI projects, or tackle complex innovations, while staying informed by following industry leaders.
3.3.3.2.2. - Class barriers are easier to overcome now; less funding is needed to start a business, making me optimistic.
3.3.3.2.3. - AI will enable more small businesses to emerge, though most will remain modest in size, while a few may grow significantly with fewer resources; expertise will still be crucial despite AI's assistance.
3.4. - Enterpreneur Mindest
3.4.1. - Embrace life and new experiences, but be ready for less leisure if you feel compelled to constantly pursue them.
3.5. Barrier : Initial Fear
3.5.1. - Initially tested AI concepts in 2022 without much value, but saw significant benefits with GPT-3's integration into LinkedIn, alongside using tools like Grammarly and other marketing editors for enhanced text and data analysis.
3.5.2. - Skepticism
3.5.3. - Hype
3.5.3.1. - Skeptical about claims that engineers are unnecessary unless one can read code; lacks trust in the system, believing it remains unreliable.
3.6. Desire for Update
3.6.1. - Desires automated bill processing for efficiency.
3.6.2. - An integrated AI assistant is needed to streamline tasks, reducing the need for constant copy-pasting, similar to the voice-activated system in Iron Man.
3.6.3. - Desires an AI assistant to manage tasks like summarizing school communications and paying bills.
3.6.4. - AI tools struggle with accents, limiting their usefulness. I use Siri for reminders but desire a unified AI assistant.
3.7. Balanced perception between Optimism and pecism
3.7.1. - Optimism
3.7.1.1. - Optimistic about AI's future, it can improve war ethics and bring education and healthcare to underprivileged areas, enabling global innovation.
3.7.1.2. - Data leaks and identity theft can occur anywhere. We should teach children not to trust social media blindly. AI isn't inherently bad; like a knife, it can be used for good or harm.
3.7.1.3. - Perceives significant improvements in efficiency and knowledge through simplified fact-checking and reduced search time.
3.7.2. - Fear
3.7.2.1. - How to use
3.7.2.1.1. - I use technology daily and see its benefits, though some fear it. Attitude towards innovation is key; it's about how and who uses it safely.
3.7.2.2. - Cheating
3.7.2.2.1. - Teachers notice students using identical prompts, urging them to improve their originality.
3.7.2.3. - Dependency on AI
3.7.2.3.1. - Access to technology is limited for those without expertise, and pricing models may exploit dependency by starting cheap and becoming costly.
3.7.2.3.2. - Parents cautiously introduce young children to digital content, monitoring algorithmic influence and balancing with educational tools, while noting reduced computer time compared to past generations.
3.7.2.4. Potential Risks
3.7.2.4.1. Education systems must adapt to teach effective AI use, or cultural gaps will widen.
3.7.2.4.2. - The interviewee compares baking a cake without experience to estimating ingredients, highlighting the challenge of planning without prior knowledge.
3.7.2.5. - Copyright issue
3.7.2.5.1. - Data validation
4. Strategic Approach
4.1. - Try and Error
4.1.1. - Learned through trial and error.
4.1.2. - Successful individuals often lack an "off switch," driving their continuous pursuit of goals.
4.1.3. - Fast Iteration
4.1.4. - Improved models now process data more effectively, offering features like real-time news updates and automated tasks, enhancing user experience with access to the latest information.
4.1.5. - Conducted an AI-related experiment, resulting in a prototype development.
4.1.6. - Adopts a trial-and-error approach, revisiting tools as they mature; prefers Visual Code for its improved features despite using alternatives like Cursor.
4.1.7. - Fail fast
4.2. - Early-adoption
4.2.1. - I remember my location. It was launched in November, and I began using it approximately two weeks post-release. That's quite fast.
4.3. - Prototype
4.3.1. - Enhanced features now offer automatic follow-up questions, legal references, and content control, while new tools and UX visualizations improve user experience and efficiency.
4.3.2. - Experimentation with AI remains consistent, involving building, prototyping, and market validation, but AI now simplifies prototype creation, exemplified by a bookstore marketplace that uses AI for pricing and listing books efficiently.
4.3.3. - Utilizes AI for efficiency and business applications, such as generating diverse mock-up versions.
4.3.4. - Discovered AI tools can prototype UX for government projects, using GPT to create specialized agents and visualizations, streamlining development without diverting from core missions.
4.4. Experiment
4.4.1. - Experiment
4.4.1.1. - Catch up cost
4.4.2. - Explores new models briefly for experimentation and revisits them when applicable to real business needs.
4.4.3. - Experimented with AI in podcast production using Adobe Podcast Studio, exploring its potential impact and capabilities.
4.5. - Iteration
4.5.1. - Small companies can now operate efficiently with fewer people due to faster iterations and easier access to external resources.
4.5.2. - Fast iteration
5. How do key enablers shape entrepreneurs’ cognition and behavior in the adoption of generative AI?
5.1. Own Technical background
5.1.1. - Tech discussions from the early 2010s reflect a long journey from theoretical ideas by pioneers like Lovelace to science fiction visions by writers like Asimov, highlighting the gradual adoption of innovations.
5.1.2. - Assisted in expanding a long-running Estonian robotics expo globally, leading to involvement in AI trends and initial attempts at building an AI search engine in 2019.
5.1.3. - Early exposure to GPT through an interview with an OpenAI founder at a tech event in 2017, recognizing the emerging significance of AI.
5.1.4. Requirement
5.1.4.1. - Navigating between different experiences, sometimes humorous, sometimes not, requires adaptability.
5.1.4.2. - AI tools enhance efficiency but require expertise for optimal results; professionals can create high-quality content faster than manual methods, though most users lack this proficiency.
5.2. Select Insightful Source
5.2.1. - Influencer
5.2.1.1. - Reaching expertise in tech requires time, but following key influencers and insightful newsletters can accelerate learning; however, building substantial businesses in AI demands more than just surface-level understanding.
5.2.2. Social Media
5.2.2.1. - Finding reliable tech news is challenging; traditional sources now prioritize popular or sponsored content. Many rely on newsletters and social media platforms like X for the latest updates, following tech leaders and innovators for early insights.
5.2.2.2. - Prefers X for quick updates, with LinkedIn as a secondary source, and emphasizes following balanced tech-focused content.
5.2.2.3. - Prefers real-life conversations for deeper thinking, uses Twitter for popular discourse, finds LinkedIn too polished, and values YouTube for educational content, especially on AI, while avoiding short-form videos due to their time-consuming nature.
5.2.2.4. - Prefers social media for staying updated on trends and timing actions before they become widespread.
5.2.2.5. - No longer reviews everything immediately to save time, uses AI tools for note-taking and summarizing during commutes.
5.3. Achieve First success
5.3.1. - Achieving initial success boosts confidence and encourages further use of AI
5.3.2. - Explores various AI tools like Co-pilot, Cursor, Winsorf, and ZED for coding and project deployment, while also using platforms like Versal and Croc for building and hosting projects, including game development with AI-generated audio.
5.4. Prompt Engineering
5.4.1. - Be specific and emulate styles for effective communication.
5.4.2. - Early experimentation with prompts led to successful deep research.
5.5. - English Proficiency
5.5.1. - English proficiency aids in using LLMs, but developing models for smaller languages is crucial. Investing in LLM education is essential as tools evolve.
5.6. Faster Iteration
5.6.1. I don't want to have like a paid version of every LLM.
5.6.2. - Paid ChatGPT is preferred for ease of use, while free Claude is better for human-like copywriting but struggles with document reading. Providing specific data improves AI-generated content.
5.6.3. - Early prototypes were made with Actuar, offering basic functionality and faster feedback, leading to more efficient and focused business operations.
5.6.4. - Prototypes are tested with AI before full production, reflecting a shift in business thinking to gain quicker feedback.
5.7. Motivation of saving cost & Time
5.7.1. - Because even if it's like the best researcher on the world, they would ask like what you want to get out of it. So you need to have your goals very well organized and you can prompt it too. With AI, you can do way faster and cheaper.
5.8. Peer Affect
5.8.1. - She began using GPT from day one and provided me with guidance. I recall she conducted the first internal training in January 2024.
5.8.2. - Friends mentioned it, prompting me to try it, though I was initially unsure of its use. Eventually, I began using it extensively, including GPT, for about a year.
5.8.3. - Openness to new experiences may depend on one's mindset, with influence from family, friends, or influencers making adoption easier.
6. How do key blockers prevent entrepreneurs’ cognition and behavior in the adoption of generative AI?
6.1. - Tool selection time
6.1.1. - Primarily uses Grok for tasks, occasionally reverting to GPT for images, and relies on team engineers for technical work; notes that many smaller agents became obsolete after new model releases, though some still hold value.
6.1.2. - Chat GPT is widely known and trusted, despite some hesitancy due to associations with Elon Musk against Grok
6.1.3. - Recognizes there is much more to learn and explore in AI.
6.1.4. - Need to decide on experimentation to control costs and ensure business value.
6.2. - Limitation of AI
6.2.1. - Tested various tools claiming to handle all marketing and development needs.(But not)
6.3. - Cost challenge
6.3.1. - Server capacity issues may lead to increased prices or reduced functionality.
6.3.2. - High electricity costs during winter are unaffordable, especially after investing in electric heating systems.
6.3.3. - Initially accessed AI models through LinkedIn due to paywalls, but began relying more on XAI's Grok integrated into X, as it offered unrestricted queries similar to ChatGPT.
6.3.4. - Access to early AI technologies like DALL-E in 2021 was limited and costly, restricting use to large companies, while others observed from the sidelines.
6.3.5. - Limited access to free resources or services.
6.4. - Skepticism
6.4.1. - Connected with AI a decade ago while developing a supply chain startup, despite initial skepticism from developers.
6.4.2. - Optimistic users tend to use it more, while skeptics often don't use it at all, making it difficult for them to judge its effectiveness.
6.4.3. - I am convinced that technological change will outpace human adaptation. While skepticism from non-tech individuals is understandable, it's surprising when tech-savvy people dismiss it as mere hype.
6.5. - Regulation
6.5.1. - Faced challenges with on-prem AI, explored automation tools for email and calendar, envisioning a future where AI handles scheduling and logistics seamlessly.
6.5.2. - Initially uncertain about its success, the release of GPT-2 in 2019 inspired the development of a search engine to manage personal and company data, but challenges arose due to data curation and government restrictions on using non-on-premise tools.
6.6. Fear of addiction
6.6.1. - Technology frees up time, but it's crucial to use it wisely to avoid negative effects like social media addiction, which can lead to mental health issues. Teaching children about responsible use is important, though they are generally creative with diverse interests.
6.6.2. - Unaware of their heavy usage, they consider it normal.
6.7. Lack of the skills
6.7.1. - Lacks skills to build an advanced assistant, unlike a peer who could do it quickly.
6.8. Poor prompt
6.8.1. - Early models were limited by lack of prompting resources. In 2024, we pivoted and adopted Stack AI, integrating various models for our product. Thanks to Kadri's foresight, we became heavy users.
6.9. Unclear Data Policy
6.9.1. - Some AI can be unreliable due to updates, requiring detailed prompts for effective content creation. That was very annoying to interviewee.
6.9.2. - Trust issues exist with voice messages, similar to email security concerns, but people adapt over time.