Most Valuable Skill of 2026: Managing AI Agents
I welcome Ryan Carson back to the show to turn anyone into a world-class agent operator. Ryan spent 25 years founding companies, scaled Treehouse to around 110 employees and a million learners, and now runs Untangle, an AI divorce agent for family law firms, as a team of one while his revenue tracks toward 4x this month. He walks me through his full stack: running cloud agents in parallel, building automations that watch production and improve themselves, and shipping 22 to 40 PRs a day, often from his phone. We also get into keeping token costs sane through model routing and building a durable reputation by sharing your work on X. By the end, listeners hold a clear playbook to run agents, automate the busywork, and ship faster. Timestamps 00:00 – Intro 01:43 – The New Agent Paradigm 04:24 – Inside Ryan’s eight-screen desk setup 07:23 – Why Devin and cloud agents 10:00 – Everyone Is Now a Manager of Agents 13:15 – Local vs Virtual Development 14:50 – Agent Management System 24:22 – 3 Automations to build 32:54 – Self-improvement loop with Grace 34:38 – Token costs and model routing 40:33 – Building reputation on X 44:03 – Closing thoughts Key Points * Ryan frames every knowledge worker as a manager of agents, and mastering that role is the new edge. * Cloud VMs let Ryan run five to ten agents at once and ship 22 to 40 PRs a day. * Roughly half of Ryan's work happens on his phone, which keeps his agents moving in real time. * Automations like a production watchdog and a daily self-improvement loop hand Ryan a running summary of what matters. * Model routing keeps costs in check: budget around $5k a month per employee and lean on cheaper fine-tuned models. * Sharing your work publicly on X compounds into relationships and opportunities over time. Numbered Section Summaries * Meet Ryan and Untangle Ryan Carson returns to walk me through his stack. He spent 25 years founding companies, scaled Treehouse to about 110 employees and a million learners, and now runs Untangle, an AI divorce agent for family law firms, solo, with revenue on track to 4x this month. * The World-Class Agent Manager Ryan's core premise: everyone is now a manager of agents, and becoming the best in the world at it is the goal. He argues that managing agents makes you more technical over time, much like a skilled engineering manager. * The Desk Setup and Key Security Ryan lays out eight screens, a 52-inch monitor, a UG Monk paper to-do system, a vertical mouse, and Whisperflow for voice. He stores all prod write keys in 1Password and hands them to agents only when a task truly calls for it, keeping production safe. * Cloud Agents Over Local Machines Ryan explains cloud VMs: click a button, spin up a fresh environment, and run many agents in parallel while the code stays cleanly separated. He credits this shift for his 50x jump in output and urges builders to move work into the cloud as fast as they can. * Staying Sane at 50x With 22 to 40 PRs a day, Ryan treats his job as making 10 to 20 high stakes decisions before lunch. He pins his most important threads, checks them on a roughly 25-minute cadence, and works from his phone so his agents keep moving. * Automations That Run the Business Ryan shares three automations: an end-to-end signup test that browser-tests three times a week for about $60 in tokens, a 9am production watchdog that summarizes customer activity and links to real UI, and a daily self-improvement loop where an agent named Grace grades chats on a rubric and ships roughly three fixes a day. * Token Costs and Model Routing After a $20k token month, Ryan settled on roughly $5k per employee plus heavy model routing, using cheaper fine-tuned models like SWE 1.7 for loop work. He favors independent agent labs such as Devin, AMP, Factory, and Cursor for affordable long-term engineering, while enjoying the subsidized Codex Mac app for everyday tasks. * Reputation and the Long Game Ryan closes on building a software factory where agents write, review, and ship 100% of your code, plus building credibility by sharing your learning on X. He points to Sahel Bloom's rise from private equity to a million-plus followers and a New York Times bestseller as proof that publishing what you learn opens doors. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND RYAN ON SOCIAL Ryan’s Website: https://www.ryancarson.com X/Twitter: https://x.com/ryancarson Untangle: https://untangle.us
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Introduction: The most valuable skill of 2026 is managing AI agents, and Ryan Carson will explain how.
- The ability to run teams of AI agents will outperform others in the AI age.
- Ryan Carson will teach cloud agents, automations, and shipping faster.
- The goal is to become a world-class agent operator, regardless of your background.
Ryan's background and current role: 25-year founder CEO, now running an AI divorce agent startup.
- Ryan has 25 years of experience as a founder CEO, including scaling Treehouse to 110 employees.
- His current startup, Untangle, is an AI divorce agent for law firms, with one employee and fast growth.
- He emphasizes learning to scale yourself by managing many agents effectively.
Ryan's desk setup: A 52-inch monitor with eight screens, using Slack, 1Password, Devon, and more.
- He uses eight screens to multitask many agents at once, with Slack for notifications.
- He keeps production keys in 1Password and never gives agents prod keys directly.
- He uses Devon for cloud agents and Codex for local work, with a vertical mouse to avoid wrist pain.
Conceptos clave
- cloud agents— The core concept of running AI agents in the cloud for scalability and efficiency.
- automations— Key to scaling operations by automating repetitive tasks and self-improvement loops.
- software factory— The idea of using AI agents to write, review, and ship code continuously.
Citas destacadas
I think we all thought that engineering and being technical was going away, but actually what's happening is the more you become a better agent manager, um, actually the more technical you become.
💡— Overturns the common assumption that AI reduces the need for technical skills, showing the opposite is true.
So last month I spent probably 20 grand in in tokens, uh, which is just too much. Like it's not viable.
🤯— Reveals the surprisingly high cost of running AI agents at scale, a hidden reality for many.
Acciones a tomar
🚀Career Growth
The most valuable skill in 2026 is managing AI agents effectively.
Start using a cloud agent platform like Devon for a small project this week.
Becoming more technical is essential to manage agents well.
Learn the basics of databases and production environments through online courses.
⚡Productivity
Working in the cloud allows scaling to 10+ agents without conflicts.
Move one of your development tasks to a cloud agent and test its efficiency.
Automations can handle QA, monitoring, and self-improvement.
Set up an automated end-to-end test for your app that runs three times a week.
La transcripción y los insights son generados por IA y pueden contener errores. La precisión depende de la calidad del audio y la claridad de los hablantes — si algo no parece correcto, el audio original es siempre la fuente de verdad.
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