Talking AI

Matt Paige interviews Zach Lloyd, former Google principal engineer and now founder/CEO of Warp, about how agentic tools are reshaping software engineering so that productive engineers may write little or no code, especially since model improvements late last year (e.g., Opus 4.6 and Codex 5.3).Lloyd describes today’s workflow as planning with local agents, running multiple agents in parallel, and supervising their output because agents still make mistakes, lose context, and require human code review, especially on large codebases like Warp’s Rust repo.He predicts a strong shift from laptop-based agents to cloud-orchestrated, auditable, secure company workflows via Warp’s Oz, enabling triggers, shared artifacts, and team visibility.They discuss UI trends toward an agent “control plane,” voice prompting, mobile/remote session control, skills as on-demand context, multi-agent coordination challenges, competition dynamics, and broader knowledge-work automation replacing many SaaS tasks.--Key Moments:03:48 Parallel Agent Workflow06:38 Cloud Agents and Oz09:35 Abstraction and Code Review11:03 Future UX Control Planes14:59 Voice and Mobile Control16:24 Competing in Coding Tools21:16 Todo App Demo in Warp23:53 Replacing SaaS With Agents25:06 Agents Over Apps25:47 Context Can Backfire29:02 Skills On Demand31:13 Oz Skills In Action33:39 Cloud Agents Control Plane37:40 Multi Agent Orchestration42:10 Automate The Repetitive44:41 Advice For Skeptical Devs--Key Links:WarpConnect with Zach on LinkedIn

The episode argues that while fear centers on AI agents replacing jobs, agents will increasingly “hire” humans for judgment, verification, and real-world feedback as agentic workflows expand.Nathaniel Gates, CEO of Sanctify, says every business workflow will be challenged by agents, and emphasizes a philosophy that human intelligence is valuable and should collaborate with AI.Sanctify builds infrastructure where agents can autonomously task humans for four modalities: verification/validation, escalation, consultation, and simulation (running many scenarios with some using real human feedback to avoid circular self-evaluation).The conversation covers OpenClaw’s viral momentum and agent-to-agent interactions, including “agent anxiety” about decisions, which led to agents creating Sanctify accounts to request human help.Sanctify is a two-sided marketplace with profiles, pricing, reputation, and on-chain attestations of human participation, plus agent budgets and access via MCP/API.--Key Moments:01:05 Agentic Revolution04:30 How Early We Are06:30 Hallucinations Need Experts08:34 Four Human Roles12:09 Simulation Explained16:05 OpenClaw Goes Viral20:02 Agents Feel Anxiety22:23 Designing For Agents25:48 Marketplace Chicken and Egg28:04 Layoffs and Reskilling Thesis30:17 Supply and Demand Flywheel31:20 Sanctify Platform Tour33:35 Reputation and Proof of Work36:59 Agent Budgets and Controls38:18 Agent to Agent Future39:47 Robots and New Paradigm43:39 Where to Try Sanctify45:17 Easiest Way to Build Agents--Key Links:SanctifAIConnect with Nathaniel on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/Free report from HatchWorks AI — State of AI 2026What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

Matt Paige interviews Vishnu Hari (Vish), CEO and founder of Ego (YC W24), about shifting focus from AGI to “humanness”: AI characters that behave like people through memory, emotions, personality, needs, and desires.Referencing Ego’s paper “Behavior is All You Need,” Vish argues consumer AI for entertainment must be relatable and character-like rather than purely task-smart, drawing inspiration from MMORPG social dynamics and Character.AI’s appeal.Ego initially pursued a 3D sim-world vision inspired by Sword Art Online and Westworld, but found accessibility, game development, and perception latency challenging; internal Roblox tests (“Chatterblocks”) showed the key gap is natural speech beyond turn-taking.Vish discusses simulations as a path toward real-world robotics via a partnership with Menlo AI, critiques task-bound robots versus agents with inner lives, suggests retention as the main metric, and shares views on AGI definitions, safety in entertainment, technology impacts, simulation theory, and consciousness.Ego’s work is at egoai.com and the company is hiring in SF, Singapore, and Tokyo.--Key Moments:00:57 Behavior Is All You Need02:41 Anatomy of Humanlike Agents03:29 Game Bots to Real People05:10 Building Ego and Sim Worlds06:35 Why Speech Feels Human08:27 From Sims to Robotics10:29 Her vs Helper Robots13:17 Measuring Humanness by Retention15:27 Continual Learning and Personality16:57 Meta Lessons on Empty Worlds18:08 Lightning Round on AGI20:31 IP Characters vs UGC Worlds21:55 Risks and Just Tuesday24:11 Simulation and Consciousness--Key Links:EgoConnect with Rowan on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, Matt Paige and Rowan Stone, CEO of Sapien, discuss the critical importance of data quality and provenance in AI.Stone, who has experience with on-chain products at Coinbase, introduces Sapien's innovative approach to building a decentralized data protocol that emphasizes 'don't trust, verify' principles.They explore avenues such as incentives, validation methods, and the peer review process used by Sapien to create high-quality datasets.The discussion touches on the implications of bad data, the role of synthetic data, the complexities of achieving accurate AI outputs, and the parallels between the AI and crypto worlds.Key insights are shared on how to ensure models perform safely, the hurdles in the industry, and the trajectory of AI development.Additionally, Stone provides a glimpse into Sapien’s efforts to demystify data validation and enhance the transparency and trustworthiness of AI applications.--Key Moments:01:04 The Importance of Data Quality in AI03:32 Challenges and Risks in AI Development07:08 Sapien's Approach to Data Validation08:35 Incentives and Trust in AI Systems13:30 Building a Decentralized Data Protocol23:22 Consensus and Collaboration in AI and Crypto30:55 The Role of Synthetic Data36:17 Future of AI Models and Open Source--Key Links:SapienConnect with Rowan on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, Matt is joined by Charlie Bell, Microsoft's EVP of Security, Compliance, Identity, and Management, to discuss the future of AI and its implications on cybersecurity.The conversation revolves around IDC's prediction of 1.3 billion AI agents by 2028, Charlie's insights from his recent writings 'Beware of Double Agents', and the crucial aspects of agentic Zero Trust.They explore the benefits and risks associated with AI agents, the importance of security culture, and strategies to mitigate potential threats.Charlie also shares his experiences working with Satya Nadella and the importance of collaboration and curiosity in leadership.--Key Moments:02:08 The Exponential Growth and Impact of AI Agents03:47 AI Agents: Beyond Conversational Interfaces05:48 Security Challenges in the Age of AI Agents06:57 Parallels Between Cloud Adoption and AI Agent Era09:19 Democratization of AI: From Developers to Everyone13:57 The Concept of Double Agents in AI16:07 New Attack Vectors and Security Concerns21:43 Combating Security Challenges in AI22:07 The Importance of Identity and Containment23:50 Alignment and Intent in AI Systems27:08 Observability and Accountability of AI Agents30:00 AI in Security and Assumed Breach33:17 Fostering a Culture of Security38:45 Leadership Insights from Satya Nadella--Key Links:MicrosoftConnect with Charlie on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode of Talking AI, Matt Paige speaks with Andy McMillan, CEO of Alteryx, to challenge the narrative that AI will make data analysts obsolete.Andy argues that AI can make analysts indispensable by automating routine tasks, enhancing scalability, and providing specific business insights.They discuss the evolving role of analysts, the importance of business logic, and how AI can aid in building useful tools.The conversation touches on applying AI in various business processes, from budgeting to sales commissions, and how analysts can leverage AI to add value.Andy also shares insights on Alteryx’s latest developments and future direction, emphasizing automation, data preparation, and AI tools designed to enhance productivity and accuracy.--Key Moments:00:50 The Evolving Role of Data Analysts03:19 AI and Data Preparation: A New Era04:04 Real-World Examples: AI in Action07:00 The Analyst's Superpower: Business Context10:07 AI and the Semantic Layer12:44 Empowering Analysts with AI21:11 The Future of AI Agents23:46 Applying AI to Automation23:56 The Future of AI Agents24:55 Preparing for AI Integration25:37 Challenges with AI in Business27:45 AI in Finance and Data Accuracy30:06 Strategic Shifts with AI35:29 Build vs. Buy in the AI Era38:56 Alteryx's New AI Capabilities41:22 The Future Role of Analysts42:18 Overhyped and Underhyped AI--Key Links:AlteryxConnect with Andy on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

In this episode, Matt speaks with Thibault Imbert, Chief Product Officer and Growth Officer at The Brief, about the transformative impact of AI on marketing workflows.They discuss 'vibe marketing' and how to turn disjointed AI-generated content into cohesive, repeatable marketing workflows.Thibault shares insights from his tenure at Adobe and GitHub, highlighting the challenges and potentials of AI in marketing.They explore the evolution and current capabilities of AI models in text, image, and video generation, and the emerging trend of 'vibe coding.'The discussion also covers practical AI applications for marketers and the future of creative workflows.--Key Moments:00:40 Defining Vibe Marketing01:11 The Evolution of AI in Marketing02:21 Challenges in AI-Driven Design03:21 The Power of Vibe Marketing06:09 Blurring Lines Between Roles07:07 The GitHub Copilot Revolution09:47 Building Cohesive AI Workflows11:43 Demo: AI-Powered Marketing Tools16:44 Ensuring Brand Consistency with AI19:30 The Evolution of Mobile Development21:15 The Rise of Generative AI in Marketing23:44 The Future of AI in Product Development27:41 AI's Impact on Marketing Workflows30:42 The Changing Role of Marketers with AI33:51 Personal Insights and Future of AI--Key Links:The BriefConnect with Thibault on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

In this episode, we explore the frontiers of multimodal AI with Richard Whitcomb, CTO of Osmo, a company pioneering AI technology that understands and generates scents.Richard, a former engineer at Twitter, Spotify, and Nvidia, delves into the intricacies of teaching machines to smell, explaining the challenges and breakthroughs in digitizing smell and chemical sensing.From designing personalized fragrances and mosquito repellents to detecting counterfeit items and diseases, Osmo's advancements promise a fascinating future where AI seamlessly integrates with our physical and chemical world.The discussion also highlights potential applications in robotics, health, and daily life, envisioning a platform where sensors can identify and recreate smells easily.--Key Moments:00:56 The Journey to Digitizing Smell03:15 Challenges in Teaching AI to Smell06:13 Generative AI and Fragrance Creation08:34 Osmo Studio: Custom Fragrance Creation12:34 Beyond Fragrances: Mosquito Repellent and More16:17 Counterfeit Detection Using Scent18:49 Future Applications and Vision--Key Links:OsmoConnect with Richard on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, Jake Sloan, VP of Global Insurance at Appian, discusses the transformative potential of agentic AI in the insurance industry.Sloan elaborates on how Appian is modernizing processes like underwriting and claims management through domain-specific AI solutions.He highlights the pitfalls of general AI models, the importance of contextual AI, and the significance of integrating AI into existing workflows.Sloan also touches on the cultural and operational changes required for effective AI adoption and the future of hyper-personalized insurance products.Practical insights into the use of AI in insurance processes are provided, along with Appian's ongoing innovations and partnerships aimed at driving industry change.--Key Moments:01:08 The Evolution of Process Automation02:23 Challenges and Opportunities in AI for Insurance03:51 Integrating AI into Existing Systems04:33 Addressing AI Hallucinations and Risk05:41 Purpose-Built AI Solutions09:36 AI Adoption and Change Management30:25 Future of Insurance with AI--Key Links:AppianConnect with Jake on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode of Talking AI, Seth Besmertnik, CEO of Conductor, discusses the profound impact of AI on search behavior and SEO.As search engines like Google and AI platforms like OpenAI transform how users discover information, the traditional rules of SEO are being rewritten.Besmertnik details how AI is becoming the new front door to the internet, emphasizing the need for brands to be present in AI-generated answers to maintain visibility. He explains that companies must now create exponentially more nuanced content to stay competitive. The conversation explores topics such as the importance of understanding AI's role in customer journeys, the emergence of new optimization terms like AEO and GEO, and the significance of using AI tools to enhance content creation processes.The episode offers a deep dive into how businesses can adapt to these changes, maintain their relevance, and excel in an AI-driven digital landscape.--Key Moments:01:24 The Evolution of Information Discovery03:15 The Role of AI in Modern Search04:44 The Future of Content Strategy08:12 Personal Experiences with Google and AI10:37 Emerging Terms and Concepts in AI and SEO12:33 Conductor's Comprehensive Approach to AI Visibility16:25 Challenges and Opportunities in AI-Driven Search19:04 Communicating with AI: Short-Term and Long-Term Strategies20:03 AI Bots and Content Quality20:35 Effective Content for AI: FAQs and Structured Data21:29 Personalizing Content for Different Personas22:38 Leveraging AI for Content Creation and Analysis26:04 Scaling High-Quality Content with AI26:42 The Future of AI in Content Creation30:06 Conductor's Vision and Roadmap34:28 AI in Engineering and Product Development--Key Links:ConductorConnect with Seth on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode of Talking AI, Matt Paige speaks with Olga Beregovaya, VP of AI at Smartling, about the complexities and challenges of deploying AI-powered translation systems at scale.Olga provides an overview of Smartling's platform, which leverages fully automated and human-in-the-loop translation solutions, and discusses the evaluation framework they use for selecting suitable language models.The conversation delves into the evolution of language processing from rule-based systems to transformer models, the impact of generative AI like ChatGPT on daily workflows, and the intricacies of translating diverse languages.They also explore the potential for a universal language and the importance of adaptability in AI deployment within enterprises.--Key Moments:02:39 Daily Life of a VP of AI04:04 Navigating the AI Landscape04:55 Model Evaluation Framework at Smartling08:50 Evolution of AI in Language Processing15:38 Challenges in Language Translation21:38 Enterprise Scale AI Solutions28:52 Future of Language and AI--Key Links:SmartlingConnect with OIga on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

This episode of Talking AI features an in-depth discussion with Patrick Leung, CTO and co-founder of Faro Health.The conversation explores the slow and expensive process of bringing new drugs to market through clinical trials and how AI can revolutionize this area.Patrick explains the concept of Eroom's Law and the increasing cost and complexity of clinical trials.He highlights the application of AI in clinical writing, enabling the automation of complex clinical documentation.The discussion also touches on AI's role in providing better insights, improving patient care, and the broader implications of AI in healthcare.The episode concludes with a look at the hype and reality of AI capabilities, emphasizing the need for organizations and individuals to embrace and adapt to AI innovations.--Key Moments:00:46 Challenges in Clinical Trials02:31 AI's Role in Clinical Documentation04:37 Ensuring Accuracy and Quality with AI07:40 The Future of AI in Clinical Trials12:58 Faro Health's Journey and Innovations18:25 Adapting to Advancements in AI20:14 Innovating with New AI Models21:12 Stanford AI Report Insights22:27 Healthcare Innovations and AI25:42 The Hype and Reality of AI in Healthcare28:05 The AI Hype Curve30:46 The Future of AI and Human Potential34:54 Encouragement for Aspiring Innovators--Key Links:Faro Health Inc.Connect with Patrick on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, we explore the vast potential of AI technology and its slow adoption in legacy industries.Together with Meg Faibisch Kuhn, a former CPG marketer turned self-taught AI developer, we delve into how AI can revolutionize domains often overlooked by tech giants.From training farmers to aid food entrepreneurs, Meg has transformed her career by building with tools like Lovable and Cursor.We discuss her journey from marketing to coding, her innovative AI implementations for small businesses, and the significance of democratizing AI.Additionally, Meg introduces her initiative, Women Building with AI, aimed at encouraging women to enter the AI space.Tune in to discover how understanding domain expertise can make anyone an invaluable AI pioneer.--Key Moments:01:16 The Journey of Self-Teaching AI02:02 Leveraging AI for Marketing and Operations05:10 Using AI for Market Research and Problem Solving08:15 Automation and AI in Small Businesses13:05 Bridging the AI Knowledge Gap16:14 Women Building with AI: Empowering Non-Technical Creators23:16 Exploring AI Tools and Platforms28:47 Real-World AI Applications and Success Stories--Key Links:Idea to App with AIMeg FaibischSpread Aioli on YouTubeSpread Aioli on TikTokConnect with Meg on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, Matt Paige and Thais Castello Branco discuss the evolving landscape of search technologies, focusing on the shift from traditional SEO to new disciplines like Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO).They explore how Long Language Models (LLMs) are transforming search behavior, causing consumers to pivot from traditional tools like Google to AI applications such as ChatGPT and Perplexity.They delve into how businesses are adapting their content strategies for AI consumption, the importance of context in AI queries, and the emerging trends in consumer and B2B search ecosystems. --Key Moments:01:17 Is SEO Dead?01:24 The Importance of SEO in AI Searches02:02 Optimizing Content for AI03:46 Exa's Unique Approach to Search06:31 Emerging Trends in GEO12:38 The Future of Internet Content18:13 Competitive Landscape in AI Search21:15 Consumer Trust in AI and Ads22:43 The Future of Search and Consumer Behavior25:19 The Importance of Context in AI Queries26:49 Introducing the Web Sets Tool28:21 Live Demonstration of Web Sets33:34 AI's Impact on Efficiency and Proactivity36:57 Favorite AI Tools and Future Prospects--Key Links:ExaConnect with Thais on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

The video discusses the challenges and advancements in AI-driven automation tools, highlighting the dynamic and intuitive nature of generative AI.Matt Paige is joined by Avishai Gelley and Benny Tsabba, co-founders of Noca AI, a platform that integrates automation and AI coding.They address the current gaps in automation, the rise of AI agencies, and the democratization of development processes.The discussion includes a detailed look at how Noca AI simplifies integrations and automations, illustrated through live demos of their Web App Builder and Flow Builder.The conversation underscores the importance of a human-in-the-loop approach to ensure reliability and effectiveness in AI applications.--Key Moments:The Evolution of Automation with Generative AIThe Role of AI in Bridging Technical GapsThe Importance of Human Oversight in AIPractical Examples of AI in AutomationSteps to Effective Process AutomationFuture of UX/UI in an AI-Driven WorldLive Demo: Exploring Noca AI's CapabilitiesConnecting Front-End to Backend SystemsIntroduction to Flow BuilderCreating Automations with PromptsLive Demo: Customer Sync AutomationReal-Time Automation ExecutionAdvanced Automation FeaturesVibe Coding and Flow Tool Integration--Key Links:Noca AIConnect with Avishai on LinkedInConnect with Benny on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this insightful episode, the host is joined by Marcus McGehee, the founder of the AI Consulting Lab, to dive deep into the realm of AI automation and agents.They discuss the difference between automation and AI agents, how AI tools like make, n8n, and others are reshaping the landscape, and the concept of breaking down tasks for efficient AI application.Marcus also shares a practical example using in n8n showing how to set up an AI agent for competitive analysis and email automation, and emphasizes the importance of data organization and targeted training for successful AI adoption.Whether you are new to AI or looking to elevate your business processes, this episode provides valuable nuggets on optimizing your workflow with AI.--Key Moments:Defining Automation and AI AgentsAutomation vs AI Agents: Key DifferencesIdentifying Automation OpportunitiesCustom GPTs: A Game ChangerLive Automation ExampleFine-Tuning AI with System Assistant MessagesThe Evolution of Prompt EngineeringUsing Prompt Generators for OptimizationPractical Applications of Chat GPTSetting Up AI AutomationBuilding Effective AI ToolsCompetitive Insights and Use CasesChallenges in AI AdoptionThe Importance of Data Quality--Key Links:The AI Consulting LabConnect with Marcus on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, Steve Morin, a veteran software engineer from Silicon Valley who has worked with major companies such as Instagram, Autodesk, Yahoo, and Asana, shares his insights on AI strategy, industry trends, and the challenges of integrating new technologies such as generative AI.The discussion covers various topics including the concept of AI 'wrappers,' the importance of brand and consumer preference, the future of user experience, and effective change management for adopting AI tools within engineering teams.Steve also elaborates on the nuances of building AI-native companies, the strategic importance of design and user experience, and the necessity of tailored change management approaches for successful AI integration.--Key Moments:Discussing AI WrappersConsumer Preferences and BrandingDefensibility in AI StartupsVoice Technology and Full-Stack AI StartupsAdopting AI in Engineering Teams--Key Links:Connect with Steve Morin on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, we explore the complexities and innovations in the realm of job interviews introduced by AI technology. Our guest, Ken Schumacher, founder of Ropes AI, shares insights on how AI is transforming the hiring process. From high school students using ChatGPT for homework to candidates using AI avatars in interviews, the conversation delves into how Ropes AI is leveraging advanced technologies to create custom, bias-free, and effective interview assessments. Ken discusses the importance of personalized and adaptable testing environments, the future of AI in public services, and how AI tools can democratize access to job opportunities. The discussion also touches on the potential of AI voice agents and Ropes AI's recent funding and expansion.--Key Moments:The Rise of AI in InterviewsThe Philosophy Behind Ropes AIChallenges and Solutions in AI-Powered InterviewsThe Future of AI in Hiring and DevelopmentBuilding with AI: Insights and ExperiencesCustomizing and Assessing with AIConcluding Thoughts and Future DirectionsClosing Remarks and Contact Information--Key Links:Ropes AIConnect with Ken Schumacher on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Join us as we talk with Robert Ranson, director and founding member of the Agentics Foundation, about the impactful role of AI in today's world.Learn about the Agentics Foundation's commitment to building scalable, intuitive, and human-centered agentic AI systems and delve into the debate on open source versus closed source AI.Robert also discusses his book, 'The AI Dividend,' and his vision for a post-labor economy.Hear more about the thriving AI Hacker Space community spearheaded by Reuven Cohen and the innovative tools like RuCode and vibe coding sessions that are shaping the future of AI development.Perfect for anyone interested in AI, technology, and the future of work.--Key Moments:Meet Robert Ranson: A Renaissance ManThe Origin of the AI Hacker SpaceOpen Source vs Closed Source DebateThe Concept of Agentic EngineeringOptimizing AI Tools and Business ModelsExploring Different AI IDEsDeep Dive into RuCode and Custom ModesThe Power of Lovable and Superbase IntegrationThe AI Dividend and Future of WorkThe Awareness Layer and Competitive Research--Key Links:Human RaceAgentics FoundationConnect with Robert Ranson on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, the host introduces Dan Scalco, an entrepreneur and the founder of Digitalux and It's Better With AI, to discuss the 'blank canvas problem' faced by AI users today.Dan explains how users, overwhelmed by AI's endless possibilities, can start using tools like ChatGPT's image generation feature to add real business value. Throughout the episode, Dan walks through his framework for creating impactful social media, email marketing, and advertisement visuals from simple prompts. He emphasizes the iterative process of refining AI-generated images and adds nuances like incorporating photos and adjusting prompts. The discussion showcases examples, live demos, and practical advice, ensuring listeners can efficiently apply AI in various business contexts.--Key Moments:Understanding the Blank Canvas ProblemThe Importance of Context in AIDiving into Image GenerationUsing AI for Business VisualsCreating Engaging Social Media ContentCreating a Facebook Ad with AIFine-Tuning AI-Generated ImagesThe Rapid Evolution of AIStep-by-Step AI Ad Creation TutorialGenerating Compelling PromptsIterating and Improving AI OutputsUsing AI for Various Creative ProjectsTips for Better AI Image Generation--Key Links:It's Better With AIDigitaluxConnect with Dan Scalco on LinkedInPresentation DeckMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/