Venture Step

Dalton Anderson

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Venture Step is an independent podcast for curious builders. Host Dalton Anderson explores AI, startups, company strategy, research, policy, and the personal realities of building something meaningful through candid interviews, original deep dives, and solo episodes.

8月11日

HOW TO USE CODEX BEYOND THE FIRST PROMPT

Short summary Most AI demos stop when something appears on screen. This one starts there. Dalton Anderson uses OpenAI Codex to turn fictional customer feedback into a working dashboard, then critiques the first output, steers the redesign, and explains the system around reliable agent work: Plan as the map, Goal as the contract, skills as reusable procedures, and evaluations plus stop conditions for agentic loops. A practical episode for founders, operators, and builders who want better results from Codex without giving up judgment. ### Mobile-first show notes Most AI demos stop when something appears on screen. This one starts there. Dalton gives Codex a fictional customer-feedback dataset and asks for a decision-ready dashboard. The first output works, but it is not good enough. That becomes the real lesson. This episode shows how to move from a one-shot prompt to a workflow you can inspect, steer, and verify. You will learn: - Why Plan is the map and Goal is the contract - The four parts of a strong goal: outcome, context, constraints, and done-when evidence - When a repeatable workflow should become a skill - How clear names keep a growing skill library usable - Why every agentic loop needs an evaluation and a hard stop - Where human judgment still matters The demonstration uses fictional data. No outreach is sent. ## Official OpenAI resources - [Codex use cases](https://developers.openai.com/codex/use-cases) - [Build skills](https://learn.chatgpt.com/docs/build-skills) - [Build plugins](https://learn.chatgpt.com/docs/build-plugins) - [Subagents](https://learn.chatgpt.com/docs/agent-configuration/subagents) - [AGENTS.md](https://learn.chatgpt.com/docs/agent-configuration/agents-md) - [Follow a goal](https://learn.chatgpt.com/use-cases/follow-goals) - [Scheduled tasks](https://learn.chatgpt.com/docs/automations) - [Git worktrees](https://learn.chatgpt.com/docs/environments/git-worktrees) - [OpenAI Codex repository](https://github.com/openai/codex) - [OpenAI Plugins repository](https://github.com/openai/plugins) Note: the older [openai/skills repository](https://github.com/openai/skills) is deprecated and now directs readers to OpenAI Plugins. ## Skill repositories worth exploring - [Anthropic Skills](https://github.com/anthropics/skills): official Claude skill examples and templates - [Superpowers](https://github.com/obra/superpowers): a cross-agent software development workflow and skill collection - [Microsoft Skills](https://github.com/microsoft/skills): skills and custom agents for Microsoft developer workflows - [Microsoft Learn Agent Skills](https://github.com/MicrosoftDocs/Agent-Skills): Microsoft and Azure skills grounded in Learn documentation - [Gemini CLI](https://github.com/google-gemini/gemini-cli): Google's open-source coding agent with Agent Skills support - [Gemini CLI Agent Skills guide](https://geminicli.com/docs/cli/using-agent-skills/) - [Agent Skills specification](https://github.com/agentskills/agentskills): the open format behind portable skills - [Vercel Skills](https://github.com/vercel-labs/skills): a cross-agent CLI for discovering, installing, and sharing skills Install selectively. Read a skill before trusting it, understand the tools and permissions it can use, and test it on bounded work first. ## Chapters 00:00 Why this episode exists 01:45 Turning fictional feedback into a dashboard 02:29 Commands, context, compact, goals, and Plan 04:16 What the first plan is doing 07:05 Steering the build with butter yellow 09:03 Reviewing the first dashboard 10:37 Plan is the map, Goal drives the work 15:54 An honest review of the redesign 17:23 Building a Goal and the four-part prompt formula 21:08 Commands, skills, and reusable workflows 24:57 Naming skills so they stay usable 26:34 Broad threads and focused projects 28:27 A simple context-and-constraints analogy 30:52 Keeping agentic loops safe 32:21 Closing
8月4日

HOW GOOGLE AND MICROSOFT SEE THE SAME PROMPT

Exploring the Power and Limitations of AI Imagery and Voice Models In this episode, Dalton Anderson dives into a hands-on exploration of various AI models, including image, voice, and interactive storytelling tools. He shares real-world demos, highlighting their strengths and areas for improvement, especially from a marketing and content creation perspective. Whether you're curious about how AI can enhance your creative projects or want a behind-the-scenes look at the current state of AI models, this episode offers valuable insights.KEY TAKEAWAYS: Microsoft’s AI models in beta offer the ability to generate images, transcribe speech, and produce voice outputs, providing a versatile toolkit for creators.The Google Nano Banana Pro image model excels at creating realistic, lived-in scenes with detailed aging and environment, but can sometimes produce inconsistent details.Prompt specificity is crucial; AI-generated images can misinterpret vague instructions, leading to hallucinations or illogical outputs, such as unrealistic headgear without appropriate suits.Voice models demonstrate strong emotional range, with certain voices like Harper’s delivering particularly convincing storytelling, while others struggle to evoke specific emotions like anger or sadness.Interactive story features currently limit depth due to character caps and simplistic responses, making them less effective for complex storytelling or nuanced character interactions.Microsoft AI Platform: microsoft.aiVenture Step website: https://www.daltonanderson.net/venture-step/Call to Action: Subscribe to Venture Step for more behind-the-scenes founder stories and AI insights. CHAPTER TIMESTAMPS:00:00 - Introduction and overview of AI models showcased00:28 - Microsoft’s AI beta platform and available models00:56 - Demonstration of image generation and critique from a marketing perspective01:25 - Comparison between Google Nano Banana Pro and Microsoft’s image model02:28 - Visual demo of Microsoft’s UI and image outputs03:01 - Creating a futuristic diner scene and assessing visual emphasis03:33 - Analyzing inconsistencies in AI-generated scenes04:33 - AI depiction of Gemini with futuristic elements and critiques05:51 - Visual analysis of the emphasis on key objects like shakes and burgers07:04 - Halucination in AI images—cat paw coming out of a table08:02 - Detail critique: gears and aged objects in AI art09:30 - Evaluation of realistic details like butterflies and aged books10:08 - Google’s attempt at capturing a dusty carpenter’s workshop11:04 - Comparing Google’s and Microsoft’s realism in craftsmen scenes12:23 - Limitations of AI in facial expressions and lighting realism13:00 - Exploring voice-to-text capabilities and story creation14:14 - Generating a short story with emotional beats15:47 - Testing voice model emotion: Harper, Ethan, Olivia16:33 - Switching perspectives to the Ant Queen in storytelling21:12 - Creating emotional stories from different viewpoints24:29 - The superiority of Harper’s voice for storytelling25:29 - Challenges with interactive stories and character limits28:34 - Wrapping up with a futuristic AI story titled 'Neon Gears of Hunger' CONNECT & LINKS: Microsoft AI Platform: microsoft.aiVenture Step website: https://www.daltonanderson.net/venture-step/Call to Action: Subscribe to Venture Step for more behind-the-scenes founder stories and AI insights. Music licensed through Soundstripe. Code: OWITVHYLRLGCXG5V, SZ1PQVE2IOUP0XDN
7月28日

THE AI PARTNERSHIP THAT CHANGED INTO A RIVALRY

This episode explores the evolving relationship between Microsoft and OpenAI, the strategic shifts in AI model development, and the competitive landscape shaping the future of artificial intelligence. Dalton Anderson provides an in-depth analysis of key events, investments, and technological advancements. keywords AI, OpenAI, Microsoft, AI models, tech competition, AI investment, cloud computing, AI strategy, GPT, Anthropic key topics Microsoft and OpenAI partnership history AI model development and competition Strategic investments and infrastructure in AI Impact of leadership changes and corporate politics sound bites "Microsoft is hiring top AI talent." "The future of AI is highly competitive." "The AI landscape is rapidly evolving." chapters 00:00 The Evolution of Microsoft and OpenAI's Relationship 10:10 The Crisis: Sam Altman's Ouster and Its Implications 19:54 The Shift: From Partnership to Competition 30:06 The Future Landscape of AI: Competition and Innovation resources OpenAI Official Website - https://openai.com Microsoft AI Models - https://microsoft.com/ai Anthropic - https://anthropic.com Google DeepMind - https://deepmind.com Sam Altman Twitter - https://twitter.com/samaltman Elon Musk XAI - https://x.ai Google AI - https://ai.google AWS AI - https://aws.amazon.com/ai Oracle Cloud - https://oracle.com/cloud SoftBank Vision Fund - https://softbank.com learn more https://www.daltonanderson.net/venture-step/
7月21日

THE RISE OF THE AI COWORKER

Discover how Google's Gemini Spark is revolutionizing AI agent workflows and transforming entrepreneurship. Dalton Anderson shares insights on the future of AI in business, automation, and productivity enhancement. keywords AI, entrepreneurship, Gemini Spark, Dalton Anderson, Google, automation, productivity, AI workflows, venture step, AI tools key topics Google Gemini Spark and its capabilities AI agent workflows and automation Grounding AI within personal and business context Managing podcast guest pipelines with AI Future of AI in entrepreneurship and productivity sound bites "Gemini Spark is the evolution of AI agent workflows." "Grounding AI within your account makes it more effective." "Automating outreach saves hours of manual work." chapters 00:00 Introduction to Gemini Spark and its significance 02:20 Background and capabilities of Gemini Spark 04:08 Creating skills and customizing AI for tasks 06:12 Grounding AI in personal and business context 07:51 Continuous operation and scheduling with Gemini Spark 09:18 Demo: Managing tasks and scheduling in Google 11:50 Using AI for email management and outreach 17:23 Managing podcast guest pipeline with AI 22:55 Researching and qualifying podcast guests 28:51 Automating outbound outreach and lead generation 33:46 Final thoughts on AI's future in entrepreneurship resources Google Gemini Spark - https://gemini.google.com learn more https://www.daltonanderson.net/venture-step/
7月14日

BUILDING BETTER PRODUCTS BY REFUSING TO ACCEPT "GOOD ENOUGH" WITH JOSH SPRAGUE

Discover how innovative entrepreneurs like Josh leverage AI and automation tools to streamline business operations, enhance product development, and boost growth. This episode reveals practical insights into using AI for marketing, product testing, and managing multiple ventures efficiently. Discover how AI tools like Claude and Grok are revolutionizing entrepreneurship, PPC management, and digital marketing. Josh Sprague shares practical insights on leveraging AI for business efficiency, product research, and content creation, all while contemplating the future of AI and society. keywords AI, entrepreneurship, business automation, product development, marketing, Orange Mud, Seven Clay, Claude, venture capital, innovation AI, entrepreneurship, Claude, Grok, PPC management, digital marketing, Josh Sprague, Orange Mud, Sevenclay, AI tools, business efficiency key topics Building a passion-based brand from scratch Using AI to streamline marketing and analytics Product testing and iteration in endurance sports gear Managing multiple businesses with automation The importance of customer feedback in product development AI's impact on entrepreneurship and business efficiency Using Claude and Grok for PPC and product research The evolution of digital marketing with AI Future societal implications of AI and quantum computing Practical tips for leveraging AI tools in business sound bites "Customer feedback is the best way to improve products." "AI opens up efficiency and opportunity." "AI will dig into your entire ecosystem and fix problems." chapters 00:00 Introduction and Guest Background 01:49 The Origin of Orange Mud 04:52 Building a Passion Brand from Personal Frustration 07:59 The Challenges of Product Development and Testing 12:45 Endurance Sports and Product Testing Insights 19:47 Using AI and Automation in Business 29:58 Managing Multiple Ventures with AI Tools 40:10 The Future of Innovation and Business Efficiency resources Orange Mud - Endurance Gear - https://orangemud.com/ Claude AI - Language Model - https://www.anthropic.com/claude Venture Step Website - https://www.daltonanderson.net/venture-step/ Claude AI - https://www.anthropic.com/claude Grok AI - https://grok.ai/ Orange Mud - https://orangemud.com Seven Clay - https://sevenclay.com Josh Sprague - https://linkedin.com/in/josh-sprague learn more https://www.daltonanderson.net/venture-step/
6月2日

BUILDING WITH ANTIGRAVITY 2.0: THE UPDATES YOU NEED TO KNOW

In this episode, Dalton Anderson explores Google's latest AI tools, Antigravity 2.0 and Command Line, providing insights into their architecture, features, and practical applications for developers and entrepreneurs. keywords AI tools, Antigravity 2.0, Command Line, Google Cloud, AI development, coding platforms, agent orchestration, tech innovation key topics Antigravity 1.0 vs 2.0: Architecture and Features Agent Orchestration and Workflow Management Command Line Tools Built in Golang for Speed and Efficiency Practical Applications of Antigravity in Content Creation Token Management and Cost Optimization in AI Platforms sound bites "Antigravity 2.0 is more user-friendly and powerful" "Monitoring token usage helps optimize AI performance" "Google's AI demo shows a multi-layered approach" chapters 00:00 Introduction to Antigravity Tools 01:01 Exploring Antigravity 1.0 and 2.0 04:01 Understanding Antigravity Command Line 05:59 Live Demo of Antigravity 2.0 11:17 Building Content with Gemini Canvas 16:32 Platform Features and User Interaction 29:39 Iterating with Antigravity 2.0 31:29 Customizing Project Permissions in Antigravity 2.0 32:18 Exploring the Antigravity Command Line 36:05 Managing Token Usage and Model Switching 40:28 Creating and Managing Podcast Episodes 44:45 Leveraging AI for Social Media Content 49:26 Building Efficient AI Agent Structures 57:12 Reflections on Antigravity 2.0 and Future Prospects resources Google Cloud Next Announcements - https://cloud.google.com/blog/topics/inside-google-cloud/announcing-anti-gravity-2-0-and-command-line Anti-Gravity 2.0 Platform - https://cloud.google.com/anti-gravity Dalton Anderson's GitHub Repository - https://github.com/daltonanderson/anti-gravity-tools learn more https://www.daltonanderson.net/venture-step/
5月26日

THE WORLD'S STRONGEST ROBOTIC ARM: HOW RISE ROBOTICS REINVENTED THE ACTUATOR

Explore the innovative belt-and-pulley system by Rise Robotics with CEO Hiten Sonpal. This technology revolutionizes linear actuation, replacing traditional hydraulics and screw systems. Learn about its applications in heavy machinery and defense, its environmental benefits, and insights into crowdfunding and investor engagement. keywords Rise Robotics, belt and pulley system, linear actuator, hydraulics replacement, screw actuator, heavy machinery, defense technology, crowdfunding, climate tech, automation key topics Beltrolic technology as a new form of linear actuation Limitations of hydraulics and screw actuators Applications in heavy machinery, defense, and oil & gas Environmental benefits and energy efficiency Crowdfunding and investor engagement strategies sound bites "We are three times as energy efficient." "Regenerative braking for actuators." "Crowdfunding raised over $5.8 million." chapters 00:00 Introduction to RISE Robotics and Actuator Technology 06:21 The Evolution of Actuator Systems 11:01 Automation and the Future of Heavy Machinery 15:41 Identifying the Ideal Customer Base 20:18 Applications in Oil and Gas and Beyond 24:36 Revolutionizing Munitions Handling with Super Jammer 27:42 Understanding Six Axis Systems and Their Applications 29:24 Efficiency and Safety in Military Operations 29:41 The Weight and Design of the Super Jammer 30:03 Achieving a Guinness World Record 32:05 The Power of Hydraulic Technology 33:57 Crowdfunding: Engaging Investors and Customers 39:21 Leveraging Investor Feedback for Growth resources Rise Robotics Website - https://riserobotics.com Wefunder Crowdfunding Campaign - https://wefunder.com/riserobotics Guinness World Record for Strongest Robotic Arm - https://www.guinnessworldrecords.com/records/strength/strongest-robotic-arm Regulation Crowdfunding (Reg CF) - SEC - https://www.sec.gov/spotlight/regulation-crowdfunding Hiten Sonpal - https://www.linkedin.com/in/hiten-sonpal/ learn more https://www.daltonanderson.net/venture-step/
5月20日

THE ZERO-HUMAN EQUATION: HOW REI VARDI DE-RISKED ASSET SHARING WITH EON RIDES

In this episode, Rei Vardi shares his journey from a biomedical engineering student to founder of Eon Rides, exploring the challenges of sharing assets, trust, and building scalable systems in the mobility space. Discover insights on entrepreneurship, system design, and overcoming industry hurdles. keywords entrepreneurship, mobility, asset sharing, system design, trust, startup journey, bootstrap, venture capital, innovation, car sharing key topics Challenges of trust in asset sharing Designing scalable systems for mobility Entrepreneurship and bootstrapping in tech Overcoming industry-specific hurdles in mobility Venture capital and startup funding in mobility sound bites "Friction in the right places guides behavior." "Unforgiving industry, unforgiving space." "Value what you've built, and others will too." chapters 00:00 Introduction to the Journey of Eon Rides 02:54 The Challenges of Bootstrapping and Early Lessons 06:08 Frustration as a Catalyst for Innovation 09:01 The Fear of Embarrassment and Its Impact on Entrepreneurship 12:14 The Psychology of Sharing Assets 18:05 Architecting a Scalable System for Car Sharing 24:05 Curating User Behavior in a Shared Economy 31:46 Navigating the Renter Experience 39:32 Challenges in the Mobility Space 45:53 The Importance of Equity and Control 56:54 Valuing Your Business and Its Growth resources Rei Vardi on LinkedIn - https://www.linkedin.com/in/rei-vardi/ Eon Rides Official Website - https://eonrides.com/ Eon Rides on the App Store - https://apps.apple.com/us/app/eon-rentals/id1551234567 learn more https://www.daltonanderson.net/venture-step/

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Venture Step is an independent podcast for curious builders. Host Dalton Anderson explores AI, startups, company strategy, research, policy, and the personal realities of building something meaningful through candid interviews, original deep dives, and solo episodes.

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Dalton Anderson
活躍年份

2020年 - 2026年
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123
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© 2026 Dalton Anderson
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Venture Step