So What About AI Agents

We let an autonomous AI penetration testing agent run against our production application — and the results were unexpected.In this episode, we sit down with Grant McCracken from Dark Horse Security, who built Vulcan, an AI-powered pentesting agent capable of autonomously discovering vulnerabilities in real-world systems.Instead of traditional scanners or manual pentests, Vulcan ran continuously, explored the app like a human tester, and uncovered issues we hadn’t considered — including unexpected behavior in our AI workflows.We cover:How AI penetration testing actually worksWhy traditional scanners miss critical vulnerabilitiesWhat Vulcan found in our systemHow we fixed the issues it uncoveredThe future of continuous, autonomous security testingIf you're building with AI, deploying SaaS products, or working on secure infrastructure — this is a glimpse into what security will look like going forward.

In this conversation, Philippe Trounev and Jill Heinze (https://www.linkedin.com/in/jill-stover-heinze/) discuss the critical aspects of responsible AI governance, emphasizing the importance of stakeholder impact, human-centered design, and the balance between innovation and regulation. Jill shares her insights on the decision points organizations must consider when implementing AI, the role of governance in expediting development processes, and the necessity of understanding risk tolerance. They also explore the evolving regulatory landscape and the future of AI governance frameworks, highlighting the need for organizations to proactively address ethical considerations and user safety.takeawaysResponsible AI governance is essential for stakeholder impact.Organizations in regulated industries are more likely to invest in AI governance.Human-centered design is crucial for deploying AI responsibly.Understanding the risk profile of AI systems is necessary.Governance can expedite the development process when designed effectively.Organizations must assess their risk tolerance regarding AI use.Regulatory frameworks are evolving to address AI risks.AI governance should facilitate innovation rather than hinder it.Proactive governance can prevent potential litigation and rework.Engaging cross-functional teams is vital for effective AI governance.titlesNavigating the Future of AI GovernanceThe Role of Human-Centered Design in AISound Bites"AI governance is a design problem.""Every organization needs to ask these questions.""We need to surface the ground truth information."Chapters00:00Introduction to Responsible AI Governance02:56The Importance of Stakeholder Impact05:32Understanding AI Governance Decision Points08:13The Role of Human-Centered Design in AI10:57Balancing Innovation and Governance13:52Navigating Regulatory Frameworks16:47The Future of AI Regulation19:26Building Effective AI Governance Frameworks22:13Overcoming Objections to AI Governance24:56Conclusion and Resources for AI Governancehttps://www.docsie.io

In this episode, Erkang discusses the future of autonomous AI agents in the workplace, focusing on how they can enhance collaboration, offload tedious tasks, and serve as personalized assistants. He shares insights on building trust, managing context, and the technical challenges involved in creating truly autonomous AI partners.keywordsAI agents, autonomous AI, workplace productivity, collaboration, context management, AI privacy, AI tools, organizational AI, AI in business, AI innovationkey topicsAutonomous AI agents in the workplaceContext and memory management in AITrust, privacy, and security in AI systemsAI's role in collaboration and organizational knowledgeTechnical challenges in building autonomous AIguest nameErkangtitlesBuilding Autonomous AI Agents for the Future of WorkHow AI is Transforming Collaboration and ProductivitySound Bites"The next wave is AI helping us in collaboration""Ari caught a scam I totally missed""Ensuring reliability and trust in AI systems"Chapters00:00Introduction to Erkang and his AI journey01:05The evolution of autonomous AI agents02:20AI in collaboration and organizational overhead02:49Identifying bottlenecks in manual work04:19The concept of a continuous, context-aware AI agent05:31Meeting notes and actionable insights from AI07:55Autonomous actions and proactive AI assistance08:25Managing context and role-specific AI knowledge09:54Self-improvement and personalized coaching from AI11:16AI-generated work reports and reflections12:51Technical challenges in building autonomous agents14:09Trust, privacy, and security considerations15:46AI as a true employee and autonomous partner17:54AI detecting scams and protecting users autonomously19:49Technical architecture and decision-making in AI20:37Building full autonomy and subconscious memories21:16AI adapting to user habits and optimizing workflows22:30Tasks fully offloaded to AI and efficiency gains24:30Overcoming technical challenges and inconsistencies25:51Ensuring reliability, consistency, and deterministic actions27:19Future features: voice interaction and expansion28:41Getting started with Ari and AI adoption in organizationshttps://www.docsie.io

In this episode, Alex Zoller discusses the innovative use of AI agents in healthcare to improve patient engagement and access. His platform utilizes a multi-agent architecture to facilitate communication between healthcare plans and members, ensuring that patients receive personalized assistance in scheduling appointments and navigating the healthcare system. The conversation covers the challenges of maintaining context in voice interactions, the importance of compliance and validation, and the operational efficiencies gained through automation. Alex also shares insights on product management and the future of AI in healthcare, emphasizing the need for empathy and scalability in solutions.takeawaysAI agents can significantly improve healthcare access.Multi-agent architecture allows for more complex interactions.Empathy is crucial in healthcare communications.Compliance and validation are essential to avoid errors.Testing and simulation are key to agent performance.Agents can operate 24/7, enhancing patient engagement.Understanding existing workflows is vital for implementation.Healthcare solutions must be scalable and adaptable.Mistakes can be corrected in real-time by the system.Operational metrics show significant cost savings.titlesRevolutionizing Healthcare with AI AgentsThe Future of Patient EngagementSound Bites"Healthcare has zero tolerance for errors.""Quality is our top priority.""Empathy is a priority for healthcare."Chapters00:00Introduction to AI Agents in Healthcare02:46The Outreach Process for Annual Wellness Visits05:58Multi-Agent Architecture Explained08:35Navigating IVR and Provider Interactions11:33Ensuring Compliance and Quality in Healthcare14:26Handling Mistakes and Safeguards17:13Scaling and Cost Efficiency of AI Agents19:56Future Capabilities and Expanding Use Cases22:41Product Management Insights and Best Practiceshttps://www.docsie.ioJoin us on Discord https://discord.gg/pAUGNTzv

In this episode, Philippe Trounev interviews Rome Thorstenson, a software engineer and AI researcher, discussing the intersection of AI and cybersecurity. They explore the current state of code security, the role of AI agents in identifying vulnerabilities, and the challenges of trusting these systems. Rom shares insights from his research at NeurIPS and emphasizes the importance of proactive security measures for developers.takeaways80% of the code shipped to production is not secure.AI agents are increasingly used to analyze code for vulnerabilities.Security often takes a backseat to feature development.Evaluating the security of a code base is a complex task.Prompt injection poses significant risks for AI systems.Developers need to prioritize security in their workflows.Rafter offers tools to simplify security scanning for developers.Research in mechanistic interpretability can enhance AI security agents.The landscape of cybersecurity is evolving with AI advancements.Proactive security measures are essential to combat emerging threats.titlesAI's Role in Cybersecurity: A Deep DiveUnderstanding Code Vulnerabilities with AI AgentsSound Bites"AI writes most of the code.""80% of the code is not secure.""Prompt injection is a huge problem."Chapters00:00Introduction to AI Agents in Cybersecurity02:41The State of Code Security and Vulnerabilities05:10Building AI Agents for Code Analysis07:52Evaluating AI Agents and Benchmarking10:27Autonomous Feedback Loops in Cybersecurity13:07Trusting AI Agents for Security Fixes15:47Understanding Vulnerabilities and AI's Role18:42Real-World Examples of Vulnerability Detection23:25Navigating App Development Challenges24:32Getting Started with Rafter28:03Understanding Mechanistic Interoperability35:06Interpreting Model Features and Security37:49Top Security Practices for Developershttps://www.docsie.ioJoin us on Discord https://discord.gg/pAUGNTzv

In this episode, Philippe Trounev interviews Laurent Cohen from Getoblic, who discusses the deployment of 1.6 million voice AI agents. Laurent explains the transition from a SaaS model to an infrastructure layer, emphasizing the importance of data gathering and SEO strategies. He shares insights on unit economics, cost efficiency, and the monetization strategies for their voice AI services. The conversation also covers the workflow of AI agents, team structure, early success metrics, and competitive advantages in the voice AI market.takeawaysThe deployment of 1.6 million voice AI agents is a significant achievement.Shifting from a SaaS model to an infrastructure layer is crucial for scalability.Unit economics and cost efficiency are vital for sustainable growth.SEO should be handled in-house as it is the DNA of a company.Gathering data is essential for training AI agents effectively.Monetization strategies include offering free claims for businesses to engage with the platform.AI agents work in a structured workflow to handle customer inquiries.A small team can achieve significant results with the right automation.Early success metrics include claimed pages and minutes spent with voice agents.Building competitive moats involves leveraging unique data and insights.Sound Bites"We need to scale data.""Money is the enemy.""Let's help each other."Chapters00:00Introduction to Voice AI at Scale02:54The Shift from SaaS to Infrastructure Layer05:24Unit Economics and Cost Efficiency08:13SEO Strategies and Data Gathering11:07Monetization Strategies for Voice AI14:11Workflow of AI Agents16:50Team Structure and Automation19:40Early Success Metrics and Conversion22:19Building Competitive Moats25:07The Future of Voice AI and Marketing StrategiesJoin us on Discord https://discord.gg/pAUGNTzv

In this conversation, Michael Ullam, CEO of Tenki AI, discusses the intricacies of building AI agents, particularly in the context of prediction markets. He emphasizes the importance of understanding limitations, building trust with users, and the architecture of multi-agent systems. Michael shares insights on logging practices, avoiding overfitting, and the cost-effectiveness of predictions. He also touches on the long-term vision for Tenki AI, strategies for product launch, and the advantages of bootstrapping a startup. Throughout the discussion, he provides valuable advice for founders looking to navigate the AI landscape.takeawaysUnderstanding limitations is crucial for AI agents.Building trust with users is essential for success.Multi-agent systems can improve forecasting accuracy.Breaking down problems into subcomponents enhances performance.Logging practices are vital for system improvement.Avoiding overfitting is key to reliable predictions.Rapid feedback loops are beneficial in prediction markets.Validating demand before product development is important.Bootstrapping can be more efficient than seeking venture funding.Focus on solving real problems that you personally experience.titlesUnlocking the Power of AI AgentsBuilding Trust in AI SystemsSound Bites"What actually works when building agents?""Logging everything helps improve the system.""Validate demand before building your product."Chapters00:00Introduction to Tenki AI and Michael Ullam00:48Building Trust in AI Agents03:37Understanding Tenki's Multi-Agent Architecture06:56Challenges in Multi-Agent Systems10:16Logging and Evaluation Practices12:32Avoiding Overfitting in Predictions15:01Cost and Efficiency of Predictions17:23Long-Term Vision for Tenki AI19:09Common Playbook for Building AI Agents20:58Advice for Founders in AI Development30:40Opportunities in AI and Final Thoughtshttps://www.docsie.ioJoin us on Discord https://discord.gg/pAUGNTzv

SummaryIn this episode of So What About AI Agents Philippe Trounev and Dr. Craig Kaplan discusses the need for a new approach to AI safety and governance, emphasizing the importance of prevention in design and the concept of AI agents and collective intelligence systems. He highlights the role of ethics and morals in agentic society, the enforcement of ethics and morals in AI agents, and the purpose and values of AI agents. Dr. Kaplan also explores the blueprint for collective intelligence systems, problem-solving and coordination in multi-agent systems, transparency and accountability, decentralization of power, observation and reporting, and the role of values in AI systems. He concludes by discussing the relevance of Herbert Simon's ideas in AI research.takeawaysDemocracy in AI governance can enhance safety.AI agents can work together like a community.Ethics in AI must be enforced through safeguards.Collective intelligence can outperform individual expertise.Designing AI systems requires careful consideration.Transparency is crucial for AI agent interactions.Values from diverse individuals should shape AI behavior.The historical context of AI informs current practices.Short-term fixes are not sufficient for AI safety.Our online behavior influences future AI training.titlesBuilding Safe AI: A Democratic ApproachThe Future of AI GovernanceSound Bites"Two heads are better than one.""We need to think hard about design.""We should behave well online."Chapters00:00Introduction to AI and Superintelligence01:20Governance and Safety in AI05:30The Role of AI Agents in Society07:29Evolving Towards Agentic Democracy09:35Ethics and Morals in Agentic Society12:16Influence vs. Enforcement in AI Behavior15:52Blueprint for Collective Intelligence Systems19:39Human Traits in AI Collective Intelligence22:49Transparency and Accountability Among Agents25:25Decentralization and Power Distribution29:35Learning from Human Governance33:20Herbert Simon's Insights on AI and Morality36:42Key Takeaways for AI Governance

summaryIn this conversation, Philippe Trounev and Mitchell Jones delve into the complexities of agentic payments and the necessary payment infrastructure for the evolving AI economy. They discuss the challenges faced by AI startups in managing payments, the importance of measurement and optimization in payment systems, and the future of agent-to-agent payments. The conversation highlights the need for budgeting controls and trust in agent networks, emphasizing the role of gateways in facilitating these processes.takeawaysAgentic payments require a clear understanding of costs and value delivery.Current payment infrastructures are inadequate for the needs of AI startups.AI startups must adapt their pricing strategies beyond traditional models.Using a payment gateway simplifies the integration of multiple AI models.Measurement is crucial for managing costs in AI operations.Budgeting controls are essential for preventing runaway costs in agentic systems.Trust and accountability are vital in agent-to-agent transactions.The future of payments will involve more automation and less human intervention.Experimentation with pricing models is now more feasible for startups.Building a robust payment infrastructure is critical for the success of AI applications.Keywordsagentic payments, payment infrastructure, AI startups, payment systems, budgeting, trust, agent-to-agent payments, LavaPayments, FinTech, AI economyChapters00:00 Understanding Agentic Payments02:28 The Role of Payment Infrastructure in AI05:21 Optimizing Payment Systems for AI Startups08:07 The Future of Agent-to-Agent Payments11:03 Budgeting and Control in the Agentic Economy13:50 Building Trust in Agent Transactions16:45 The Evolution of AI Agents and Payments19:25 Challenges in Agent Communication and Budgeting22:29 The Importance of Measurement in Payment Systems25:18 Future Use Cases for Agent Payments28:08 Final Thoughts on the Agentic Economy

In this conversation, Philippe Trounev and Paul Schmidt discuss the concept of agentic sales organizations, focusing on how AI can empower sales teams by alleviating mundane tasks and enhancing efficiency. They explore the role of sales research agents, essential tools for implementing AI in sales, and the importance of data hygiene. The discussion also covers the cost considerations for introducing AI and predictions for the future of sales technology.takeawaysAgentic sales organizations empower sales teams with AI tools.Sales research agents can save significant time for sales reps.Proposal agents help create polished presentations quickly.Personalization in outreach is key to engaging prospects.Data hygiene is essential for effective AI implementation.Sales teams should document processes for better AI output.Integrating AI should feel seamless for salespeople.Cost-effective solutions exist for implementing AI in sales.AI can help sales teams focus on high-value tasks.Domain expertise is crucial when selecting AI tools.https://www.docsie.ioJoin us on Discord https://discord.gg/pAUGNTzv

EP 48 – Agentic DevOps | Featuring Scott Rowlandson (NetOrca)In this episode, Philippe Trounev sits down with Scott Rowlandson from NetOrca to unpack one of the most urgent questions in technology today:We dive deep into the evolution of DevOps, the rise of AI agent orchestration, and how automation is reshaping engineering teams across regulated industries like financial services.Scott brings real-world experience from working in high-compliance environments—where automation isn’t just helpful… it's essential. Together, we explore:How automation is changing the DevOps landscapeWhy DevOps roles aren’t disappearing—but evolvingAI agents and the future of engineering workflowsReducing delivery times in complex tech stacksWhy regulated industries rely heavily on automation“Human-in-the-loop” DevOps modelsWhat skills DevOps engineers MUST develop to stay relevantAutomation will eliminate some manual DevOps tasks.But demand for skilled DevOps engineers is increasing, not shrinking.AI agents will drastically accelerate deployment, compliance, and operations.DevOps pros who embrace orchestration and automation will lead the next era.The future of engineering is hybrid: AI + humans working together.Is AI automation about to replace traditional DevOps roles?🔥 Key Topics Covered🎯 Main Takeaways

In this insightful conversation, Philippe Trounev and Padraic O'Reilly discuss the evolving landscape of compliance and automation in cybersecurity. They explore the challenges and opportunities presented by AI agents, the importance of quality assurance, and the role of human oversight in maintaining effective compliance systems. The discussion also touches on the future of agentic compliance and the balance between automation and human involvement.https://www.cybersaint.ioand https://www.docsie.ioJoin us on Discord https://discord.gg/ceKz5d4b

SummaryIn this conversation, Philippe Trounev and Daniel Horowitz discuss the evolving landscape of SEO in the age of AI. They explore how traditional SEO practices are being disrupted by AI search results, the importance of adapting strategies to focus on middle and bottom funnel content, and the necessity of building topical authority and internal linking structures. Daniel shares insights on best practices for optimizing for AI search, emphasizing the need for comprehensive and specific content, as well as the importance of schema markup. The discussion highlights the challenges and opportunities presented by AI in the SEO field, and the need for continuous adaptation to stay relevant.TakeawaysSEO has shifted to a fragmented search landscape due to AI.Top of the funnel content is becoming less effective.Internal linking is crucial for AI crawlers.Building topical authority is essential for visibility.Content must be specific and comprehensive to rank well.AI search results are easier to manipulate, leading to disinformation.User behavior is changing; quick answers are preferred.The visibility model is replacing traditional click-through models.Schema markup is increasingly important for AI search optimization.The role of SEO professionals is evolving to be more strategic. TitlesNavigating the New SEO Landscape with AIThe Death of Top Funnel SEO StrategiesSound bites"Top of the funnel is basically dead.""You need to build topical authority.""Less is more for AI crawlers."Chapters00:00 Introduction to AI and SEO Strategies11:52 Building Middle and Bottom Funnel Content Strategies21:55 Implementing Best Practices for AI SEO27:31 The Future of SEO and AI IntegrationKeywordsAI, SEO, search optimization, digital marketing, content strategy, AI search, visibility model, schema markup, internal linking, topical authority

KeywordsAI projects, hype vs reality, return on investment, success metrics, narrow use casesSummaryIn this conversation, Ammar Bhaisaheb discusses the critical aspects of initiating AI projects, emphasizing the importance of distinguishing between hype and reality. He advocates for a focused approach, where projects are defined by narrow use cases and measurable goals. The conversation highlights the necessity of modeling return on investment before embarking on any AI initiative, ensuring that projects are viable and worth the investment of time and resources.TakeawaysThe very first chat with clients is to separate hype versus reality.AI projects should be approached with a scalpel, not a will.Success in AI requires a narrow, super use case.Clear goals must be measurable for AI projects.Modeling return on investment is crucial before coding.Projects should aim for a three to five X return on investment.If a project can't deliver ROI, it's not worth pursuing.Focus on measurable outcomes to ensure project success.Narrow use cases lead to better-defined AI projects.Invest time only in projects that meet ROI criteria.TitlesNavigating the AI Hype: A Practical ApproachThe Scalpel Method: Precision in AI ProjectsSound bites"Separate the hype versus reality in AI.""Pick a narrow, super use case.""Clear goal that you can actually measure."Chapters00:00 Introduction to AI Agents and Their Impact00:07 Choosing the Right Use Cases for AI Agents00:43 Data: The Foundation of AI Success

John Brazier spent 25 years leading Oracle's technical documentation team, managing 394 books translated into 10+ languages. Today we discuss why AI-generated documentation fails at enterprise scale, the $12M translation problem, and why technical writers are evolving into "Knowledge Orchestrators."🔑 Key Topics:- Why enterprise documentation requires human wisdom, not just AI knowledge- The $500K cost of translating a single 500,000-word manual- How one comma can trigger a $40,000 retranslation- Revenue recognition regulations that make AI documentation illegal- The future role: Knowledge Orchestrator vs Technical Writer📊 Quick Stats:- 394 books in Oracle's documentation library- $12M initial translation cost for 6-product logistics suite- 500,000 translatable words per book- Translation costs: $0.06-$0.30 per word⏱️ Timestamps:00:00 Introduction02:28 The Scale of Documentation at Oracle04:41 Translation Challenges ($12M Problem)09:29 Knowledge vs Wisdom in Technical Writing16:36 The Future of Technical Writers31:39 Why Human Oversight Is Non-Negotiable#TechnicalWriting #AI #Documentation #EnterpriseAI #FutureOfWork

KeywordsAI, government contracts, agentic AI, compliance, certifications, small business, technology, security, federal government, entrepreneurshipSummaryIn this conversation, Philippe Trounev and Cordell Robinson discuss the burgeoning field of agentic AI and the significant investment the US government is making in this area. They explore the steps entrepreneurs need to take to sell AI agents to the government, including navigating the registration process, understanding compliance and certification requirements, and the lifecycle of government contracts. Cordell shares insights on the types of AI solutions in demand, the importance of security, and the advantages of partnering with established firms to access government contracts. The discussion emphasizes the potential for small businesses to thrive in this niche market as the government increasingly seeks innovative AI solutions.TakeawaysThe US government is heavily investing in agentic AI.Entrepreneurs must register their businesses on sam.gov to sell to the government.Compliance with NIST 800-171 is crucial for DoD contracts.The certification process can take several months, so start early.Government contracts often require a competitive bidding process.Selling existing products may involve customization for government needs.Security audits are essential for government contracts.Partnerships can enhance credibility and access to government opportunities.There is a growing demand for AI solutions in government, especially in security.Small businesses have a unique opportunity to enter the government contracting space.TitlesUnlocking Government Contracts for AI SolutionsNavigating the Complex World of Government ContractingSound bites"You have to register your business on sam.gov.""You can bid on contracts for the government.""NIST 800171 is your in-house security audit."Chapters00:00 The Rise of Agentic AI in Government02:56 Navigating Government Contracts: The Basics05:17 Compliance and Certifications for Small Businesses08:17 Bidding on Government Contracts: The Process11:00 Partnerships and Accelerating Government Sales13:43 Financial Aspects of Government Contracts16:43 Security Requirements for Government Products19:29 The Advantages of Selling to the Government22:02 Identifying High-Demand Use Cases24:50 Cost and Competition in the Government Contract Space

KeywordsAI, video analytics, security, Vault AI, incident detection, privacy, technology, company culture, future of AI, Igor OlteanuSummaryIn this episode, Igor Olteanu, co-founder of Vault AI, discusses the transformative impact of AI-powered video analytics on physical security. He shares his journey from military service to tech innovation, the technology behind Vault AI's solutions, and the importance of real-time incident detection. Igor addresses privacy concerns, highlights the effectiveness of their technology, and shares notable success stories. He also reflects on the cultural insights gained from his time at Google and how they influence the company culture at Vault AI. Finally, Igor offers his thoughts on the future of AI in security and encourages listeners to embrace innovation.TakeawaysIgor transitioned from military to tech due to a passion for innovation.Vault AI focuses on real-time incident detection in educational spaces.The technology uses geolocation and 3D mapping for accuracy.AI validation is complemented by human oversight to reduce false positives.Privacy concerns are addressed by clarifying existing camera usage.The effectiveness of AI allows for 100% camera monitoring.Notable incidents include detecting medical emergencies and bullying.Company culture emphasizes direct communication and innovation.Igor's military background aids in understanding security needs.The future of AI in security will see increased adoption and trust.TitlesTransforming Security with AI: Igor Olteanu's JourneyReal-Time Threat Detection: The Future of SafetyChapters00:00 Introduction to Vault AI and Igor's Journey02:49 The Technology Behind Vault AI's Video Analytics05:12 Real-Time Incident Detection and Response08:02 Privacy Concerns and Customer Objections10:50 Effectiveness of AI in Security13:41 Notable Incidents and Success Stories16:47 Cultural Insights from Google to Vault AI19:24 Building a Strong Company Culture22:00 The Future of AI in Security24:47 Final Thoughts and Encouragement

KeywordsAI agents, agentic society, culture, ethics, workforce, education, technology, future generations, automation, human-AI interactionSummaryIn this conversation, Philippe Trounev and Duri Chitayat explore the transformative impact of AI agents on society, culture, and the workforce. Duri shares his insights on how AI can be integrated into company culture, the challenges of teaching AI about human culture, and the implications for future generations growing up in an AI-driven world. They discuss the ethical responsibilities of AI developers and the need for a robust educational framework to prepare for a future where AI plays a central role in our lives. The conversation emphasizes the importance of trust, ethics, and adaptability in navigating the evolving landscape of technology and society.TakeawaysDuri Chitayat emphasizes the need for AI to adapt to human culture.AI agents can fundamentally change business models and operations.Understanding cultural nuances is crucial for effective AI integration.The future workforce will require new skills and adaptability due to AI.Ethics in AI development is essential to prevent negative societal impacts.Trust will become a key factor in human-AI interactions.Education systems must evolve to prepare children for an AI-driven world.Diversity of skills will be important for future job security.Cognitive decline can occur if we rely too heavily on AI.A balance between technology use and human interaction is necessary.TitlesNavigating the Agentic RevolutionAI Agents: Redefining Business and CultureSound bites"Agents must adapt to our culture""We might lose autonomy with AI tools""Prepare for a genetic society"Chapters00:00 Introduction to Agentic Society02:50 Cultural Integration of AI Agents05:25 The Role of AI in Corporate Culture08:12 AI and the Next Generation10:37 Future Workforce and Education13:36 Ethics in AI Development16:04 Preparing for a Genetic Society

SummaryIn this episode, Philippe Trounev and Grant McCracken discuss the evolving landscape of cybersecurity, particularly focusing on the role of agentics and AI in enhancing security measures. They explore the implications of new attack vectors like prompt injection, the potential for agent-to-agent attacks, and the innovative approach of agentic pen testing. Grant shares insights on how AI can improve the efficiency and effectiveness of security testing while emphasizing the importance of foundational cybersecurity practices. The conversation highlights the balance between leveraging advanced technologies and maintaining robust security protocols.TakeawaysCybersecurity is evolving with the introduction of agentics.Fundamentals of cybersecurity remain crucial despite new technologies.68% of data breaches originate from human error.Prompt injection is a significant new attack vector.AI can identify existing vulnerabilities but not create new ones.Agentic pen testing offers continuous, fatigue-free testing.Contextual vulnerabilities are better identified by AI.AI pen testing could reduce costs compared to human testers.Dark Horse aims to make cybersecurity solutions accessible.AI compute costs are high but expected to decrease over time.TitlesThe Future of Cybersecurity: Agentics and AIUnderstanding Cybersecurity in the Age of AISound bites"68% of data breaches start at the human layer.""Prompt injection is a new attack vector.""Agentic pen testing can run 24/7 without fatigue."Chapters00:00 Introduction to Cybersecurity and AI Agents01:42 Changing Attack Vectors in Cybersecurity03:44 Human Layer Vulnerabilities and AI's Role07:13 Prompt Injection and Offensive Strategies11:26 Agentic Systems and Security Risks12:58 Agent-to-Agent Attacks and Communication Risks17:03 Agentic Pen Testing: A New Approach21:33 Cost Efficiency of Agentic Pen Testing24:48 Exciting Developments in AI Pen Testing27:53 Future of Agentic Pen Testing and Market Potential

SummaryIn this episode, Philippe Trounev interviews Bobbie Chen, a product manager at Stytch, about the challenges and solutions related to AI agents, particularly in the context of security and fraud prevention. They discuss the concept of agentic experience, the importance of effective authentication methods, and the need for businesses to protect themselves from bad bots. Bobby shares insights on implementing agentic solutions, navigating compliance issues, and the future of fraud prevention in an increasingly automated world.TakeawaysAI agents have unique needs that differ from human users.Agentic experience is crucial for effective interaction with AI.Security measures must evolve to protect against bad bots.Device fingerprinting is a key tool in identifying fraudulent activity.CAPTCHAs are becoming less effective against sophisticated attacks.Shadow banning can be an effective strategy against spammers.Integrating agentic solutions can be quick and efficient.Compliance with regulations like GDPR is essential for businesses.The future of fraud prevention will require constant adaptation.Understanding attack vectors is vital for effective security measures.TitlesNavigating the World of AI AgentsThe Importance of Agentic ExperienceChapters00:00 Introduction to AI Agents and Security Challenges02:51 Understanding Agent Experience05:24 Agent Authentication and Security Risks08:03 Identifying Good and Bad Agents10:38 Defending Against Malicious Bots13:22 Real-World Impacts of Agentic Attacks16:07 Implementing Agentic Solutions18:52 Future of Fraud Prevention and Agentic Technology21:47 Navigating Privacy and Compliance Issues24:29 Final Thoughts on AI Agents and Security

KeywordsAI, drug discovery, Pauling.AI, language models, FDA approvals, automation, inhibitors, in silico experiments, agentic prompts, healthcareSummaryIn this conversation, Javier Tordable from Pauling.AI discusses the innovative approach to drug discovery using AI and language models. He explains the mission behind the company, the challenges of FDA approvals, and the automation of literature reviews and simulations. The discussion also covers the importance of inhibitors in drug discovery, the differences between in silico and wet lab experiments, and the need for adaptability in AI models. Tordable emphasizes the significance of the mission in improving healthcare and the potential for partnerships in the drug discovery process.TakeawaysPauling.AI aims to shorten drug discovery time significantly.AI-generated drugs follow the same FDA approval process as traditional drugs.Language models excel at reviewing and summarizing prior research.Automation of initial simulations can save weeks of work.Most drugs developed are inhibitors, which block specific biological processes.In silico experiments are a focus for Pauling.AI, differentiating from wet lab experiments.The risk of hallucinations in AI requires careful management in drug discovery.Adapting to rapid changes in AI models is crucial for success.Human-initiated interactions guide the AI agents' processes.The mission of drug discovery is to improve lives, not just profit.Sound bites"Most drugs are inhibitors.""We focus on in silico experiments.""Human-initiated interaction is key."Chapters00:00 Introduction to Agentic Drug Discovery02:15 The Role of AI in Drug Discovery04:55 Current State of AI-Driven Drug Development07:25 Challenges in Drug Discovery and AI Integration10:04 Optimizing AI Agents for Drug Discovery12:53 Human-AI Collaboration in Drug Discovery15:39 Future of AI in Drug Discovery18:13 Insights and Best Practices for Building AI Agents21:10 The Economics of Drug Discovery23:41 Conclusion and Future Directions

KeywordsAI news, investment, governance, AI companions, market dynamics, technology trends, AI deployment, valuations, regulatory landscape, business intelligenceSummaryIn this episode of So What About AI, Philippe Trounev discusses the latest developments in AI news, focusing on significant investments, the challenges of AI deployment, the rise of AI companions, and the shifting focus of venture capitalists from artificial general intelligence (AGI) to return on investment (ROI). The conversation highlights the complexities of AI governance, the societal implications of AI companionship, and the regulatory landscape affecting AI technologies.TakeawaysCognition AI raised $400 million at a $10.2 billion valuation.95% of enterprise AI pilots fail, indicating a significant challenge in deployment.97% of AI deployments globally lack proper governance.AI companions are becoming a concern for governments due to their increasing prevalence.Venture capitalists are shifting their focus from AGI to ROI, emphasizing profitability.Companies are increasingly buying AI solutions rather than building them in-house.The AI market is experiencing a peak hype phase, with significant investments flowing in.OpenAI's job platform aims to teach humans to work alongside AI.Mistral's $1.3 billion investment reflects the growing intersection of hardware and AI.The regulatory landscape is becoming more complex, particularly in the EU.Sound bites"OpenAI launches a job platform.""95% of enterprise AI pilots fail.""AI agents are at peak hype."Chapters00:00 AI News Overview04:50 Governance and Regulation in AI09:32 Data Breaches and Security Concerns

keywordsAI agents, enterprise implementation, pharmaceutical sector, SAP, ChatGPT, employee training, AI adoption, technology consulting, Infosys, automationsummaryIn this conversation, Philippe Trounev interviews Patrick Rayes, a senior principal at Infosys Consulting, about the implementation of AI agents in enterprise settings, particularly in the pharmaceutical sector. They discuss the challenges faced during AI adoption, the importance of human intervention, and the approval processes required in regulated industries. Patrick shares insights on employee training and the top-down approach necessary for successful AI integration, as well as managing expectations and misconceptions about AI capabilities.takeawaysAI implementation in enterprises requires a top-down approach.Human intervention is still necessary in AI processes.Approval processes in regulated industries are crucial for AI adoption.Employee training and education are key to successful AI integration.AI agents can simplify complex workflows and processes.Managing expectations about AI capabilities is essential for stakeholders.The pharmaceutical sector has specific requirements for AI implementation.A centralized interface enhances user experience with AI tools.Consulting firms play a vital role in guiding AI adoption.Companies must adopt AI with the same urgency as the internet.titlesNavigating AI Implementation in EnterprisesThe Role of Human Intervention in AISound Bites"AI is getting big right now.""Human intervention is still required.""AI agents simplify complex processes."Chapters00:00Introduction to AI Agents in Enterprises02:19AI Implementation in Pharmaceuticals and Banking04:43Challenges and Lessons Learned in AI Adoption07:01Human Intervention in AI Processes09:37Real-World Examples of AI Implementation11:02Approval Processes for AI in Regulated Industries12:45Comparing AI Tools: SAP Jewel, ChatGPT, and Gemini15:21Employee Adoption and Training for AI Systems18:03Impact of AI on Workflows and Efficiency20:41Managing Expectations Around AI Capabilities23:24Consulting Strategies for AI Transformation26:10Safeguarding Proprietary Knowledge in AI28:56Key Takeaways for Successful AI Implementation

In this episode, Ginny Delaiter, founder and CEO of BDS Digital Agency, discusses the intersection of user experience (UX) and artificial intelligence (AI) in marketing. She emphasizes the importance of integrating AI into UX design while maintaining a human-centered approach. The conversation explores how AI can enhance user experience, the need for accessibility in AI-driven designs, and the evolving landscape of UI/UX as AI becomes more prevalent. Ginny shares insights on best practices for adapting websites for AI agents and the importance of educating users about new technologies.takeawaysUser experience should be the center of the product.AI gives us open doors to do faster work and better work.We need a human interloop in the process of UX design.Blocking the agent means losing traffic and visibility.Agents are smarter than traditional search engines like Google.UX strategies need to be done by humans, not just AI.Don't say no and refuse everything new; adapt to change.A good website should be understood by both people and AI.UX is all about education and guiding users through the experience.We need to think about different personas in UX design.

In this episode of What About AI Agents, host Philippe Trounev sits down with Sofiya Eremenko, founder of the agency Aimly, to discuss the practical, and sometimes surprising, reality of implementing AI at scale. Sofiya shares her hard-earned insights from working in the vibrant but complex GCC (Gulf Cooperation Council) region. She dives into her own "failure experience" with a client-facing AI agent that was meant to automate sales follow-ups. The key lesson? Cultural nuances and different dialects, like those found across the Arab world, are too complex for current AI models to handle effectively. Sofiya learned that a polite "Insha'Allah" from a client doesn't mean a follow-up is necessary—it can be a subtle "no." Instead of a full-automation "autopilot," Sofiya’s team found success by building an internal AI "copilot." This agent acts as a powerful knowledge base, helping sales managers quickly get complex product details without needing to consult with different teams. This system reduced the time to respond to a client from an entire day down to a single hour, proving that the most effective AI solutions often support human work rather than replace it. Tune in to hear more of Sofiya’s insights, including her advice on selling AI solutions by focusing on the "wow effect" of simple use cases and the critical importance of extensive testing to safeguard against unexpected outcomes. Want to be a guest on What About AI Agents? Send Philippe Trounev a message on PodMatch, here: https://podmatch.com/hostdetailpreview/17345406908669558d25580e0#AI #AIAgents #SoftwareDevelopment #Innovation #HR #Technology #Podcast #Enterprise #Podmatch

In this episode of What About AI Agents, host Philippe Trounev sits down with Casey Marquette, CEO of Covenant HR, to explore a game-changing solution for the recruiting industry. Marquette, a former C-suite executive from tech giants like Cognizant and CVS Health, reveals how his company is tackling one of the biggest frustrations in hiring: the endless stream of unreviewed applications and the silent treatment candidates often receive.He introduces Scout, an AI agent so powerful it acts as an HR force multiplier. Imagine a recruiter that screens resumes in 2.2 seconds and works 24/7, ensuring every single applicant gets a fair shot. Marquette explains how Scout handles the entire recruiting cycle, from technical pre-screening to scheduling, freeing up human recruiters to focus on what they do best: building relationships.This isn't just about efficiency it's about a new, more ethical way to hire. Marquette addresses the skepticism around "talking to an AI" and argues that providing consistent, valuable feedback is far better than ghosting a candidate. Tune in to discover how Covenant HR is not only making recruiting faster and smarter but also more humane, proving that the future of hiring is here, and it's powered by AI.Want to be a guest on So What About AI Agents? Send Philippe Trounev a message on PodMatch, here: https://podmatch.com/hostdetailpreview/17345406908669558d25580e0#AI #AIAgents #SoftwareDevelopment #Innovation #HR #Technology #Podcast #Enterprise #Podmatch

In this episode of What About AI Agents, host Philippe Trounev sits down with Yaakov Sash, Founder & CEO of CASSO.ai With a vast background in FinTech as the founder of Novospir and a director of credits, Yaakov Sash discusses how his platform helps turn raw ideas into perfect, AI-ready specifications. He makes a crucial distinction between "vibe coding" for quick prototypes and the disciplined approach needed for production-level applications, highlighting the risks of unvalidated, AI-generated code, especially in sensitive sectors like healthcare. Yaakov's insights point to a future where the role of developers evolves from writing code to validating it, with platforms like CASSO.ai providing the necessary blueprints and accountability. Don't miss this practical and future-focused conversation on the evolution of AI coding and the new paradigm of software development. Like, comment, and subscribe for more AI deep dives.#AI #AIAgents #SoftwareDevelopment #Coding #Innovation #FinTech #Technology #Podcast #VibeCoding #Enterprise #Podmatch

Tune in to a compelling episode of "What About AI Agents,", host Philippe Trounev sits down with Chris McNulty, Chief Marketing Officer at Synozur Alliance and a former Director of Product Marketing at Microsoft. McNulty, who has extensive experience with products like SharePoint and Co-Pilot, shares his insights on the evolving landscape of AI and the transition from product leadership to his current role in management consulting.McNulty's conversation with Trounev begins with his decision to leave Microsoft after a decade to co-found Syntagr, a management consulting firm focused on business strategy. With a team primarily composed of ex-Microsoft and ex-Accenture professionals, the firm helps clients navigate a variety of business challenges, with a significant focus on AI. However, he remains skeptical about a universal discovery mechanism for agents, stressing the need for high-quality, trusted agents before they can effectively and securely communicate with each other.#AI #AIAgents #BusinessStrategy #Innovation #SaaS #Technology #Podcast #Governance #ProductMarketing #GTM #Podmatch

Tune in to a compelling episode of "What About AI Agents," where host Philippe Trounev sits down with Jonathan Kvarfordt, Head of GTM Growth at Momentum.io and founder of GoToMarketAI Academy. Kvarfordt, who teaches people real business impacts using AI, shares his deep expertise on the evolving landscape of AI.The conversation kicks off with Kvarfordt's unique journey into AI, stemming from a decade in sales and enablement. He recounts his early exposure to AI technology and how the release of ChatGPT two and a half years ago spurred him to launch GoToMarketAI Academy, recognizing that most people weren't utilizing AI to its full potential.Kvarfordt dives into the hyper-competitive AI market, emphasizing that companies with small teams are achieving remarkable success by focusing on intuitive and simple user experiences. He argues that this focus drives a "viral network effect," leading users to enthusiastically recommend tools like Lovable and Cursor.A central theme is the debate between vertical and horizontal AI solutions. While horizontal tools can achieve broad adoption, Kvarfordt champions the verticalized approach for many SaaS founders, especially those with limited resources. He posits that deep understanding of a specific persona's problems allows for more tailored solutions and significantly less competition in "blue ocean" vertical markets.#AI #AIAgents #GoToMarket #PromptEngineering #Automation #SaaS #BusinessStrategy #Innovation #Podcast #Podmatch

Tune in to a compelling episode of "What About AI Agents," where host Philippe Trounev sits down with Kristin Zhivago, President of Zhivago Partners and author of "Roadmap to Revenue," named a Forbes Top 6 marketing and sales book. Kristin, a seasoned revenue coach for decades, dives into the critical mistakes companies make when implementing AI. She highlights how automating broken processes or relying on tribal knowledge can lead to a 50% credibility loss and widespread frustration. The conversation stresses that AI agents are not "hands-free" and often make promises on a company's behalf that simply aren't true. Kristin shares a striking example of AI fabricating experience in avionics for her agency, underscoring the vital need for human oversight and rigorous quality assurance, especially since "the whole business world is in beta mode right now." A central theme is the "customer's truth." Kristin champions the importance of understanding customers' true desires, concerns, and questions, revealing that the messaging companies send out often misses the mark. She advocates for external, anonymous customer interviews to uncover these nuances, contrasting them with AI's current inability to grasp such deep human insights. As AI wipes out entire industries, Kristin shares her personal journey of pivoting her own business multiple times due to tech disruptions. She advises entrepreneurs to focus on "what isn't changing" for their customers and to leverage AI to amplify existing core competencies, rather than abandoning them. The episode also touches on the evolving landscape of search, with AI's conversational nature offering a more advisory role compared to traditional search engines.#AI #AIAgents #Revenue #Marketing #Sales #CustomerCentric #BusinessStrategy #Innovation #Podcast #Podmatch

Tune in to the latest episode of "What About AI Agents," featuring Raj Singh, VP of Product for New Products at Mozilla! 🎧Join Philippe Trounev as he dives into Raj's extensive experience, from building companies like Pulse (acquired by Mozilla) and Tempo AI (acquired by Salesforce) to his current role leading the launch of Soloist.ai, Mozilla's high-powered AI website builder. Raj shares insights into the massive transformation of the internet due to Generative AI and agentic workflows, highlighting how the sheer volume of AI-generated content is changing search and content consumption. The conversation explores the shifting landscape of content creation, emphasizing the critical role of "vibe creation" and how it's democratizing fractional expertise across various fields, from engineering to design.Raj introduces his "95% rule," a crucial framework for understanding AI's current capabilities: AI is often 95% accurate, and designing user experiences around this assumption is key. This concept is perfectly illustrated by Solo, Mozilla's AI-powered website builder, which generates the first draft of a website, allowing small business owners to then personalize it. The discussion underscores that while AI significantly augments human productivity, the human element for taste, review, and finalization remains essential, particularly for production-ready solutions.#AI #AIAgents #GenerativeAI #ContentCreation #Vibe #Expertise #Website #Business #Entrepreneurship #Innovation #podcast #Podmatch

Tune in to the latest episode of "What About AI Agents" featuring Dustin Jensen, AI Growth Strategist at AIAsystem! 🎧Join Philippe Trounev as he dives into Dustin's extensive experience, from over 20 years in marketing and sales to his current role as founder of AIAsystem. Dustin shares how his "workflow discovery" approach helps companies identify and implement AI-powered agent systems. Learn about AIAsystem's upcoming "ADAPT Framework," a five-stage program designed to bridge the AI adoption gap for enterprises, guiding them from assessment to talent transformation. The conversation highlights the critical need for subject matter expertise (SME) in building effective AI, explaining how AIAsystem converts seasoned professionals into "AI Growth Strategists."#AI #AIAgents #AIAsystem #BusinessGrowth #WorkflowAutomation #ADAPTFramework #SubjectMatterExpertise #VoiceUI #Entrepreneurship #Innovation #Podmatch

🎙️ Tune in to the latest episode of "What About AI Agents" featuring Yohann Abittan, founder of NewMail AI and founding partner at Armada Builders! 🎧Join Philippe Trounev as he dives into Yohann's extensive experience as a product manager, including his early work at Auto AI leveraging Siri's IP for speech-to-intent technology in contact centers. Discover how Yohann's insights from building no-code AI platforms for Fortune 500 companies led him to identify email as a vast, untapped source of unstructured data. Yohann shares the journey of NewMail AI, an AI executive assistant that moves beyond smart inboxes to become a platform deploying private, proactive, and personalized AI agents. Learn how NewMail AI creates detailed business and linguistic profiles from your emails, using "in-context learning" rather than traditional RAG to deliver highly relevant assistance. The conversation also explores the evolving landscape of AI agents, the shift towards domain-specific AI, and the crucial role of high-quality, curated data in building truly effective AI solutions. Yohann offers invaluable advice for aspiring entrepreneurs, emphasizing humility, self-belief, and the importance of solving genuine problems. #AI #AIAgents #NewMailAI #ProductManagement #Entrepreneurship #Startup #Innovation #EmailAI #LLMs

🎙️ Tune in to the latest episode of "What About AI Agents" featuring Richard Kedziora, a veteran in digital health and AI and the CEO of Estenda Solutions! 🎧Join Philippe Trounev as he delves into Richard's 30+ years of experience in leveraging technology to improve patient health and wellness. Discover how the explosion of healthcare data is paving the way for groundbreaking AI applications, from ambient note-taking during doctor visits to AI agents assisting in faster and more accurate diagnoses of complex conditions like lupus. Richard also shares his insights on the potential of AI in medical education, the surprising capabilities of large language models as digital companions, and the crucial considerations for building trustworthy AI in a sensitive field like healthcare. #AI #AIAgents #DigitalHealth #HealthTech #MedicalAI #Startup #Innovation #Podmatch

Featuring Vinod Kumar, CEO and Co-founder of Syntheum AI https://www.syntheum.ai/🎙️Join Philippe Trounev, Founder of Docsie.io and videodokuta.com, for a fascinating discussion on the evolution of e-commerce and the role of AI agents! 🎧In this engaging episode of "What About AI Agents," Vinod Kumar shares his journey from a 12-year tenure at Salesforce to becoming a startup founder in the AI-driven merchandising space. He highlights how Synthesium AI is leveraging machine learning and large language models to automate the "robotic work" of merchandising, allowing human merchandisers to focus on higher-value strategic tasks. Vinod also offers unique insights into the differences between running a physical business (like his coffee shop) and a digital AI company, and he envisions how voice agents and personalized digital interactions could transform the customer experience in physical retail spaces. ⁠#ai⁠ ⁠#AIAgents⁠ ⁠#ECommerce⁠ ⁠#Merchandising⁠ ⁠#RetailTech⁠ ⁠#StartupJourney⁠ ⁠#Innovation

Featuring Chase Friedman, Managing Partner at Alpine Anchor🎙️Join Philippe Trounev, Founder of Docsie.io and videodokuta.com, for a deep dive into the dynamic world of AI agents! 🎧In this insightful episode of the "So What About AI Agents" podcast, Chase Friedman of Alpine Anchor emphasizes the foundational work required for successful AI agent adoption, particularly within SMBs. He highlights that a clear understanding and documentation of existing processes are essential before implementing AI. Without this groundwork, businesses risk creating AI solutions that don't align with their operations or solve their specific needs. Discover practical insights on how SMBs can strategically integrate AI to drive efficiency and growth. #ai #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Nicole Hilgenkamp, Senior leader at Cargill🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this insightful episode of the So What About AI Agents podcast, Nicole emphasizes that successfully integrating AI agents in complex organizations requires careful planning. Documenting process flows, ensuring data accuracy, and having robust knowledge management systems in place are crucial prerequisites. Jumping in without this foundation can lead to inaccurate or incomplete agent responses, hindering adoption.#ai #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI #Podmatch

Featuring Cheryl Cunningham, Founder and CEO of HURO AI🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this insightful episode of the What About AI Agents podcast, host Philippe Trounev welcomes Cheryl Cunningham, CEO of Huro AI. Cheryl, a seasoned entrepreneur with 25 years of experience and the former co-founder of DM Sam Darling, delves into Huro AI's mission to democratize Artificial Superintelligence (ASI). She passionately explains their innovative approach of distributing this technology through existing telecom infrastructure, envisioning a future where everyone, regardless of their tech-savviness, can access the power of AI.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI #Podmatch

Featuring Ivan Vislavskiy, Founder of Comrade Digital Marketing Agency🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this insightful episode of the What About AI Agents podcast, host Philippe Trounev welcomes Ivan Wisławski, CEO and co-founder of ComRA Digital Marketing. With 18 years of experience in the digital marketing landscape and as a previous founder of GrowLowFirm, Ivan shares his deep expertise and reveals how ComRA is leveraging the power of AI agents in their daily operations. Don't miss Ivan's thoughts on the balance between AI-generated content and the crucial human touch, and his exciting vision for the future of AI agents in the marketing world.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI #Podmatch

Featuring Grady Teske , Founder of Tides🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this episode, Philippe Trounev speaks with Grady Teske, the founder of Rising Tides, a fractional CMO, and a serial entrepreneur with experience building companies like Dstaff and Contango Digital. Grady shares his insights on integrating AI into growth marketing strategies, building effective teams with AI agents, and his vision for creating customer-focused conversation environments. Tune in to learn about practical AI applications in research, automation, and fostering meaningful customer interactions.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Anthony Franco, Chief Launch Architect at Launch Partners🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this episode, Anthony brings his extensive experience building six successful businesses and leading Cosmero to over $12.5 million in annual recurring revenue to the forefront of the AI revolution. Join them as they delve into the critical topic of how organizations can move beyond simply "using" AI to becoming truly "AI-first." Anthony shares the foundational principles behind his approach, known as "AI First Principles," and introduces the practical "WISER method" – a step-by-step framework for operationalizing AI within complex enterprise environments. Discover how to question existing processes, identify and subtract waste, simplify workflows, evolve systems intelligently, and ultimately redesign and automate with AI agents. This episode is a must-listen for business leaders, technology strategists, and anyone seeking a clear understanding of what it takes to fundamentally transform an organization in the age of artificial intelligence.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Jordan Miller, visionary behind the Satori Network🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this episode, Philippe Trounev is joined by Jordan Miller, the visionary behind the Satori Network. The Satori Network is an innovative, decentralized AI project that leverages a global network of AI bots to predict future events based on real-world data streams. These "neurons" continuously analyze and predict trends in everything from cryptocurrency prices to weather patterns, providing valuable insights for businesses, traders, and individuals.Jordan shares the inspiration behind the Satori Network, explaining how it mimics the human brain's predictive capabilities through redundancy and collective intelligence. He delves into practical use cases, such as enhancing business intelligence, optimizing market trading strategies, and even predicting personal health metrics. The conversation also touches on the technical aspects of the network, including how neurons build and refine their predictive models in real-time.As the network continues to evolve, Jordan discusses the potential for decentralized large language models and the challenges of integrating AI into the development process. He emphasizes the importance of a bottom-up approach, where AI agents can autonomously test and iterate on code, freeing developers to focus on higher-level tasks.This episode offers a fascinating look into the future of decentralized AI and its potential to transform industries and everyday life. Whether you're a tech enthusiast, a business leader, or simply curious about the future of intelligent systems, this conversation with Jordan Miller is not to be missed.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Hunter Jensen, founder and CEO of Barefoot Solutions🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this episode of "What About AI Agents," Philippe Trounev talks with Hunter Jensen. They discuss the impact of AI on business operations, emphasizing the human-centric perspective. Hunter shares his views on AI as a tool that can enhance business processes but cannot replace the uniqueness of human decision-making. They explore how AI can assist businesses in experimenting with different strategies and techniques, ultimately helping them refine their operations. The conversation highlights the importance of human intuition and the limitations of AI in capturing the essence of business. This dialogue offers insights into the practical applications of AI in business and the future directions of human-AI collaboration in various industries.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Michaell Magrutsche, Creativity-Awareness Educator of MICHAELLM.com🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this episode of "What About AI Agents," Philippe Trounev talks with Michael Magrutsche, a multimedia artist and educator. They discuss the impact of AI on art and creativity, emphasizing the human-centric perspective. Michael shares his views on AI as a tool that can enhance artistic processes but cannot replace the uniqueness of human creation. They explore how AI can assist artists in experimenting with different styles and techniques, ultimately helping them refine their work. The conversation highlights the importance of human intuition and the limitations of AI in capturing the essence of art. This dialogue offers insights into the practical applications of AI in the arts and the future directions of human-AI collaboration in creative fields.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Adrian Mendoza, Founder of Mendoza Impact🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is your ultimate guide to the fast-paced world of AI agents. Tune in for an exciting chat you won't want to miss! 🎧In this episode of "What About AI Agents," Philippe Trounev talks with Adrian Mendoza, founder of Mendoza Ventures. They discuss the future of AI and AGI, focusing on the shift from large language models (LLMs) to small language models (SLMs). Adrian shares his experience as an early AI investor and tech founder. They explore how enterprises are using AI, the importance of domain expertise, and the challenges of data security and cost. Adrian highlights the potential of SLMs to provide more accurate and specialized solutions. They also touch on the importance of feedback loops and the need for AI to become more integrated into business workflows. This conversation offers insights into the practical applications and future directions of AI in various industries.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Tom Altman, Chief Technical Officer at Altus CXO🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com. This podcast is where you can learn all about the cool and fast-changing world of AI agents. You definitely don't want to miss out on this awesome chat! 🎧In this episode, Philippe Trounev chats with Tom Altman, a fractional CTO with 25 years of experience in technology. They discuss the potential of AI agents in various fields, including self-driving technology and real estate. Tom shares his insights on how AI can optimize business processes, enhance project management, and improve efficiency in coding and development. They also touch on the challenges of data governance and the importance of understanding what data is exposed to AI agents. Tom highlights the need for clear systems and processes to maximize the benefits of AI integration. Additionally, they explore the future of AI agents, predicting advancements in agent-to-agent communication and personalized AI assistants that can act as digital twins, making life more efficient and streamlined. #ai #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI #Podmatch

Featuring Scott Morris, Founder & Chief Executive Officer at PropulsionAI 🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com, and it's your go-to resource for exploring the rapidly evolving world of AI agents. Don't miss this exciting conversation! 🎧In this episode of "What About AI Agents," Philippe Trounev speaks with Scott Morris, founder of Get Propulsion AI. Scott has 25 years of HR experience and now uses AI to transform job descriptions and role design. He explains how AI can help companies create better job descriptions that focus on outcomes rather than tasks, leading to more engaged employees. Scott also discusses the importance of role design in driving organizational success and how AI can assist in performance management and employee development. He shares insights on the future of HR, emphasizing the need for HR professionals to embrace AI to add value at higher levels. This conversation highlights how AI can revolutionize HR processes and improve overall organizational effectiveness.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Steven Zeller, Founder & CEO at Concierge Relocation LLC 🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com, and it's your go-to resource for exploring the rapidly evolving world of AI agents. Don't miss this exciting conversation! 🎧In this episode of "What About AI Agents," Philippe Trounev speaks with Stephen Zeller, an AI entrepreneur and investor with extensive experience in health tech, marketing, real estate, and e-commerce. Stephen shares his insights on the rapid advancements in AI, particularly the transition from generative AI to agentic AI. They discuss the significant political and economic implications of these technologies and how they are poised to disrupt various industries. Stephen emphasizes the need for businesses to adapt and capitalize on these changes, highlighting the potential for AI to revolutionize healthcare, manufacturing, and even tax preparation. They also touch on the ethical considerations and future developments in AI, painting a picture of a future where AI and robotics work in tandem to enhance human capabilities and efficiency.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Jake Tullis, Chief Analyst & Fund Manager at Bleeding Edge Capital 🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com, and it's your go-to resource for exploring the rapidly evolving world of AI agents. Don't miss this exciting conversation! 🎧In this episode, Philippe chats with Jake Tullis, the brains behind Bleeding Edge Capital, a fund focused on digital assets and AI investments. Jake dives into his journey in the crypto world, starting with an early investment in XRP back in 2017. He explains how the instant settlement and liquidity of crypto make it a perfect fit for AI agents, which can handle tasks more efficiently than traditional systems. They explore real-world applications, like using AI agents to pump meme tokens and manage collections through smart contracts. Jake also shares his vision for the future, where AI agents could automate most business processes and even create their own micro-economies. This conversation highlights the transformative potential of combining AI with crypto, offering a glimpse into a future where these technologies could revolutionize finance and work. #AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI

Featuring Vinay K. Chaudhri, Principal at Knowledge Systems Research LLC 🎙️The podcast is hosted by Philippe Trounev, Founder of Docsie.io and videodokuta.com, and it's your go-to resource for exploring the rapidly evolving world of AI agents. Don't miss this exciting conversation! 🎧In this episode of "What About AI Agents," Philippe Trounev speaks with Vinay Chaudhary, an expert in AI and NLP with extensive experience in the field. Vinay discusses the current advancements in large language models (LLMs) and their potential to revolutionize various industries. He shares insights on how AI can be used for more human-like learning and reasoning, emphasizing the importance of combining LLMs with knowledge graphs for more efficient and accurate results. Vinay also talks about the challenges of making AI more predictable and the need for better benchmarks to evaluate AI systems. This conversation delves into the practical applications and future developments of AI, providing valuable perspectives for both developers and users of AI technologies.#AI #AIAgents #Podcast #TechInnovation #CustomerExperience #AIInsights #SoWhatAboutAI