Built Right

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 Workflow 06:38 Cloud Agents and Oz 09:35 Abstraction and Code Review 11:03 Future UX Control Planes 14:59 Voice and Mobile Control 16:24 Competing in Coding Tools 21:16 Todo App Demo in Warp 23:53 Replacing SaaS With Agents 25:06 Agents Over Apps 25:47 Context Can Backfire 29:02 Skills On Demand 31:13 Oz Skills In Action 33:39 Cloud Agents Control Plane 37:40 Multi Agent Orchestration 42:10 Automate The Repetitive 44:41 Advice For Skeptical Devs -- Key Links: Warp Connect 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 Revolution 04:30 How Early We Are 06:30 Hallucinations Need Experts 08:34 Four Human Roles 12:09 Simulation Explained 16:05 OpenClaw Goes Viral 20:02 Agents Feel Anxiety 22:23 Designing For Agents 25:48 Marketplace Chicken and Egg 28:04 Layoffs and Reskilling Thesis 30:17 Supply and Demand Flywheel 31:20 Sanctify Platform Tour 33:35 Reputation and Proof of Work 36:59 Agent Budgets and Controls 38:18 Agent to Agent Future 39:47 Robots and New Paradigm 43:39 Where to Try Sanctify 45:17 Easiest Way to Build Agents -- Key Links: SanctifAI Connect with Nathaniel on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 2026 What’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 Need 02:41 Anatomy of Humanlike Agents 03:29 Game Bots to Real People 05:10 Building Ego and Sim Worlds 06:35 Why Speech Feels Human 08:27 From Sims to Robotics 10:29 Her vs Helper Robots 13:17 Measuring Humanness by Retention 15:27 Continual Learning and Personality 16:57 Meta Lessons on Empty Worlds 18:08 Lightning Round on AGI 20:31 IP Characters vs UGC Worlds 21:55 Risks and Just Tuesday 24:11 Simulation and Consciousness -- Key Links: Ego Connect with Rowan on LinkedIn Mentioned in this episode: Free report from HatchWorks AI — State of AI 2026 What’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 Finder Feeling 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 AI 03:32 Challenges and Risks in AI Development 07:08 Sapien's Approach to Data Validation 08:35 Incentives and Trust in AI Systems 13:30 Building a Decentralized Data Protocol 23:22 Consensus and Collaboration in AI and Crypto 30:55 The Role of Synthetic Data 36:17 Future of AI Models and Open Source -- Key Links: Sapien Connect with Rowan on LinkedIn Mentioned in this episode: Free report from HatchWorks AI — State of AI 2026 What’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 Finder Feeling 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 Agents 03:47 AI Agents: Beyond Conversational Interfaces 05:48 Security Challenges in the Age of AI Agents 06:57 Parallels Between Cloud Adoption and AI Agent Era 09:19 Democratization of AI: From Developers to Everyone 13:57 The Concept of Double Agents in AI 16:07 New Attack Vectors and Security Concerns 21:43 Combating Security Challenges in AI 22:07 The Importance of Identity and Containment 23:50 Alignment and Intent in AI Systems 27:08 Observability and Accountability of AI Agents 30:00 AI in Security and Assumed Breach 33:17 Fostering a Culture of Security 38:45 Leadership Insights from Satya Nadella -- Key Links: Microsoft Connect with Charlie on LinkedIn Mentioned in this episode: Free report from HatchWorks AI — State of AI 2026 What’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 Finder Feeling 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 Analysts 03:19 AI and Data Preparation: A New Era 04:04 Real-World Examples: AI in Action 07:00 The Analyst's Superpower: Business Context 10:07 AI and the Semantic Layer 12:44 Empowering Analysts with AI 21:11 The Future of AI Agents 23:46 Applying AI to Automation 23:56 The Future of AI Agents 24:55 Preparing for AI Integration 25:37 Challenges with AI in Business 27:45 AI in Finance and Data Accuracy 30:06 Strategic Shifts with AI 35:29 Build vs. Buy in the AI Era 38:56 Alteryx's New AI Capabilities 41:22 The Future Role of Analysts 42:18 Overhyped and Underhyped AI -- Key Links: Alteryx Connect with Andy on LinkedIn Mentioned in this episode: Free report from HatchWorks AI — State of AI 2026 What’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 Marketing 01:11 The Evolution of AI in Marketing 02:21 Challenges in AI-Driven Design 03:21 The Power of Vibe Marketing 06:09 Blurring Lines Between Roles 07:07 The GitHub Copilot Revolution 09:47 Building Cohesive AI Workflows 11:43 Demo: AI-Powered Marketing Tools 16:44 Ensuring Brand Consistency with AI 19:30 The Evolution of Mobile Development 21:15 The Rise of Generative AI in Marketing 23:44 The Future of AI in Product Development 27:41 AI's Impact on Marketing Workflows 30:42 The Changing Role of Marketers with AI 33:51 Personal Insights and Future of AI -- Key Links: The Brief Connect with Thibault on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 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 Smell 03:15 Challenges in Teaching AI to Smell 06:13 Generative AI and Fragrance Creation 08:34 Osmo Studio: Custom Fragrance Creation 12:34 Beyond Fragrances: Mosquito Repellent and More 16:17 Counterfeit Detection Using Scent 18:49 Future Applications and Vision -- Key Links: Osmo Connect with Richard on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 Automation 02:23 Challenges and Opportunities in AI for Insurance 03:51 Integrating AI into Existing Systems 04:33 Addressing AI Hallucinations and Risk 05:41 Purpose-Built AI Solutions 09:36 AI Adoption and Change Management 30:25 Future of Insurance with AI -- Key Links: Appian Connect with Jake on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 Discovery 03:15 The Role of AI in Modern Search 04:44 The Future of Content Strategy 08:12 Personal Experiences with Google and AI 10:37 Emerging Terms and Concepts in AI and SEO 12:33 Conductor's Comprehensive Approach to AI Visibility 16:25 Challenges and Opportunities in AI-Driven Search 19:04 Communicating with AI: Short-Term and Long-Term Strategies 20:03 AI Bots and Content Quality 20:35 Effective Content for AI: FAQs and Structured Data 21:29 Personalizing Content for Different Personas 22:38 Leveraging AI for Content Creation and Analysis 26:04 Scaling High-Quality Content with AI 26:42 The Future of AI in Content Creation 30:06 Conductor's Vision and Roadmap 34:28 AI in Engineering and Product Development -- Key Links: Conductor Connect with Seth on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 AI 04:04 Navigating the AI Landscape 04:55 Model Evaluation Framework at Smartling 08:50 Evolution of AI in Language Processing 15:38 Challenges in Language Translation 21:38 Enterprise Scale AI Solutions 28:52 Future of Language and AI -- Key Links: Smartling Connect with OIga on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 Trials 02:31 AI's Role in Clinical Documentation 04:37 Ensuring Accuracy and Quality with AI 07:40 The Future of AI in Clinical Trials 12:58 Faro Health's Journey and Innovations 18:25 Adapting to Advancements in AI 20:14 Innovating with New AI Models 21:12 Stanford AI Report Insights 22:27 Healthcare Innovations and AI 25:42 The Hype and Reality of AI in Healthcare 28:05 The AI Hype Curve 30:46 The Future of AI and Human Potential 34:54 Encouragement for Aspiring Innovators -- Key Links: Faro Health Inc. Connect with Patrick on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 AI 02:02 Leveraging AI for Marketing and Operations 05:10 Using AI for Market Research and Problem Solving 08:15 Automation and AI in Small Businesses 13:05 Bridging the AI Knowledge Gap 16:14 Women Building with AI: Empowering Non-Technical Creators 23:16 Exploring AI Tools and Platforms 28:47 Real-World AI Applications and Success Stories -- Key Links: Idea to App with AI Meg Faibisch Spread Aioli on YouTube Spread Aioli on TikTok Connect with Meg on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 Searches 02:02 Optimizing Content for AI 03:46 Exa's Unique Approach to Search 06:31 Emerging Trends in GEO 12:38 The Future of Internet Content 18:13 Competitive Landscape in AI Search 21:15 Consumer Trust in AI and Ads 22:43 The Future of Search and Consumer Behavior 25:19 The Importance of Context in AI Queries 26:49 Introducing the Web Sets Tool 28:21 Live Demonstration of Web Sets 33:34 AI's Impact on Efficiency and Proactivity 36:57 Favorite AI Tools and Future Prospects -- Key Links: Exa Connect with Thais on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 Touboul, 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 AI The Role of AI in Bridging Technical Gaps The Importance of Human Oversight in AI Practical Examples of AI in Automation Steps to Effective Process Automation Future of UX/UI in an AI-Driven World Live Demo: Exploring Noca AI's Capabilities Connecting Front-End to Backend Systems Introduction to Flow Builder Creating Automations with Prompts Live Demo: Customer Sync Automation Real-Time Automation Execution Advanced Automation Features Vibe Coding and Flow Tool Integration -- Key Links: Noca AI Connect with Avishai on LinkedIn Connect with Benny on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 Agents Automation vs AI Agents: Key Differences Identifying Automation Opportunities Custom GPTs: A Game Changer Live Automation Example Fine-Tuning AI with System Assistant Messages The Evolution of Prompt Engineering Using Prompt Generators for Optimization Practical Applications of Chat GPT Setting Up AI Automation Building Effective AI Tools Competitive Insights and Use Cases Challenges in AI Adoption The Importance of Data Quality -- Key Links: The AI Consulting Lab Connect with Marcus on LinkedIn Mentioned in this episode: AI Opportunity Finder Feeling 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 Wrappers Consumer Preferences and Branding Defensibility in AI Startups Voice Technology and Full-Stack AI Startups Adopting AI in Engineering Teams -- Key Links: Connect with Steve Morin on LinkedIn

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 Interviews The Philosophy Behind Ropes AI Challenges and Solutions in AI-Powered Interviews The Future of AI in Hiring and Development Building with AI: Insights and Experiences Customizing and Assessing with AI Concluding Thoughts and Future Directions Closing Remarks and Contact Information -- Key Links: Ropes AI Connect with Ken Schumacher on LinkedIn

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 Man The Origin of the AI Hacker Space Open Source vs Closed Source Debate The Concept of Agentic Engineering Optimizing AI Tools and Business Models Exploring Different AI IDEs Deep Dive into RuCode and Custom Modes The Power of Lovable and Superbase Integration The AI Dividend and Future of Work The Awareness Layer and Competitive Research -- Key Links: Human Race Agentics Foundation Connect with Robert Ranson on LinkedIn

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 Problem The Importance of Context in AI Diving into Image Generation Using AI for Business Visuals Creating Engaging Social Media Content Creating a Facebook Ad with AI Fine-Tuning AI-Generated Images The Rapid Evolution of AI Step-by-Step AI Ad Creation Tutorial Generating Compelling Prompts Iterating and Improving AI Outputs Using AI for Various Creative Projects Tips for Better AI Image Generation -- Key Links: It's Better With AI Digitalux Connect with Dan Scalco on LinkedIn Presentation Deck