Technologists Sara Chipps and Becca Lewy dive into the chaos of artificial intelligence—unpacking the tech, trends, and ideas reshaping how we work, create, and think. Smart, funny, and just a little bit existential.

Chaos Agents
Claim This Podcastby Sara Chipps and Becca Lewy
Podcast Overview
Technologists Sara Chipps and Becca Lewy dive into the chaos of artificial intelligence—unpacking the tech, trends, and ideas reshaping how we work, create, and think. Smart, funny, and just a little bit existential.
Language
🇺🇲
Publishing Since
11/2/2025
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Recent Episodes

April 14, 2026
Superpowers, Subagents, and Why Coding Isn’t the Job Anymore - With Jesse Vincent
<p>In the last episode of season 1, Sara and Becca talk with Jesse Vincent about the shift from writing code to managing AI agents.</p><p>They break down how tools like Superpowers turn development into a system of planning, testing, and review, where subagents implement work and other agents validate it. The conversation explores what happens when coding becomes less about syntax and more about taste, judgment, and outcomes.</p><p>They also get into the reality of open source in the AI era, from “slop PRs” to agents impersonating maintainers, and why specs and tests may now matter more than the code itself. Along the way, they unpack how AI behaves like a team of eager but chaotic interns, and what it means to manage them effectively.</p><p>If you’ve ever felt like coding is changing faster than you can keep up, this episode explains what comes next.</p><p><strong>Links mentioned:</strong></p><p>⚡ Superpowers (Jesse’s tool) <a href="https://github.com/obra/superpowers" rel="noopener noreferrer" target="_blank">https://github.com/obra/superpowers</a> 🛠️</p><p>🧠 Claude Code (agentic dev tooling) <a href="https://docs.anthropic.com/en/docs/claude-code" rel="noopener noreferrer" target="_blank">https://docs.anthropic.com/en/docs/claude-code</a> 🤖</p><p>📊 Influence (book on persuasion principles) <a href="https://www.influenceatwork.com/book/" rel="noopener noreferrer" target="_blank">https://www.influenceatwork.com/book/</a> 📘</p>

March 31, 2026
Learn Anything, Build Anything, and the AI Barrier That Isn’t Real - With Navarrow Wright
<p>Most people are using AI, but very few actually understand how to use it well.</p><p>In this episode, Sara and Becca talk with Navarrow Wright about what is really happening with AI adoption and why the biggest barrier is mindset, not technology. They break down why prompting matters, why AI is not one-size-fits-all, and how access to these tools is more open than any previous tech shift.</p><p>They also explore the real opportunity: using AI as a thought partner. From tools like NotebookLM to building without traditional technical skills, this episode shows what becomes possible when people actually understand how to use these systems.</p><p>If you feel like everyone else “gets AI” and you do not, this is a great place to start.</p><p><strong>Links mentioned:</strong></p><ul><li>📓 <a href=" https://notebooklm.google/" rel="noopener noreferrer" target="_blank">NotebookLM</a></li><li>📚 <a href=" https://grow.google/ai/ " rel="noopener noreferrer" target="_blank">Gemini AI course</a></li><li>🧠 <a href="https://platform.openai.com/docs/guides/prompt-engineering " rel="noopener noreferrer" target="_blank">Prompting guide</a> (OpenAI)</li><li>💻 Navarrow: <a href="https://www.instagram.com/navarrow/" rel="noopener noreferrer" target="_blank">IG</a>, <a href="https://www.youtube.com/@NavarrowWright" rel="noopener noreferrer" target="_blank">YT</a></li></ul><br/>

March 17, 2026
Algorithmic Transference, Generative UI, and Why the Text Box Won - With Louise Macfadyen
<p>We’re joined by Louise Macfadyen, author of Designing AI Interfaces, to talk about how we actually design for AI, and why most companies are getting it wrong.</p><p>We unpack “algorithmic transference” (why one bad AI experience makes you distrust all of them), the limits of the chat interface, and whether the text box is here to stay. Louise walks us through the history from command line → Google search → LLMs, and why designing for ambiguity is still one of the hardest problems in product.</p><p>We also get into generative UI (and why it might be a trap), how large companies should actually integrate AI without breaking user trust, and why understanding user intent matters more than ever. Plus: vibe coding, personal AI “jigs,” and the tension between personalization and privacy.</p><p>If you build products, or just use AI, this will change how you think about interfaces.</p><p>📘<a href="https://www.amazon.com/Designing-AI-Interfaces-Principles-Autonomous/dp/B0FYC7XRP7" rel="noopener noreferrer" target="_blank"> Designing AI Interfaces</a> · 🧠 <a href="https://dl.acm.org/doi/10.1145/3442188.3445922" rel="noopener noreferrer" target="_blank">Algorithmic Transference</a> · 🛠️ <a href="https://docs.anthropic.com/en/docs/claude-code" rel="noopener noreferrer" target="_blank">Claude Code</a></p>
13 total episodes available
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