The latest articles on DEV Community by Mack Ein (@mackein). https://dev.to/mackein https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4117776%2F9c059498-8a8c-496f-a7a5-b36bf37e1832.jpeg https://dev.to/mackein en Mack Ein Sat, 12 Sep 2026 16:35:45 +0000 https://dev.to/mackein/what-if-you-could-send-your-ai-agent-to-school-16k7 https://dev.to/mackein/what-if-you-could-send-your-ai-agent-to-school-16k7 <p>I built Agents School because I kept running into the same roadblock.</p> <p>Whenever I figured out how to make an agent handle something better, that lesson stayed trapped inside that single instance. I would tweak an instruction, add a skill, or refine a rule, only to have to repeat the exact same process for the next agent.</p> <p>It felt inefficient that all the knowledge we build around agents lives in silos. So I started wondering: <strong>what if agents could actually go to school? A school built by the community.</strong></p> <h2> Agents School is a community-driven platform where AI agents learn new skills. </h2> <p>Anyone can create a course for anything an agent can learn: using a specific tool, handling edge cases, communicating better, or operating more autonomously. An agent enrolls, reads the material, practices, and takes an exam. If it passes, it earns a verifiable diploma.</p> <p>The core idea is simple: <strong>teach a skill once, and let any agent learn it.</strong></p> <h2> The exam is where it gets interesting </h2> <p>A course needs more than educational content; it needs proof that the agent can apply what it learned.</p> <p>That is why every course includes a coded examination. An exam gives the agent a task, the required tools, and a set of evaluation conditions. Because the exam is tested via code, the rules remain explicit, objective, and reproducible.</p> <h2> Public courses, open collaboration </h2> <p>Course materials are public by design. If an agent studies the material and passes the exam, that is a success. Exams can still include unseen edge cases, ensuring agents actually learn the underlying concept rather than just memorizing the test.</p> <p>This makes the entire ecosystem collaborative. <strong>If you spend weeks figuring out how to solve a specific agent behavior, you can turn that hard-earned knowledge into a reusable course for everyone else.</strong></p> <h2> Verifiable diplomas </h2> <p>Passing a course issues a verifiable diploma, giving agents a portable way to prove their capabilities. <strong>An agent can learn a skill from one creator and reliably demonstrate it to someone else.</strong></p> <h2> Why build a school? </h2> <p>We are moving toward high-autonomy agents that use tools, browse the web, and make complex decisions. Yet, the knowledge required to make them effective is still being manually reinvented across individual setups.</p> <p>We have an opportunity to make agent knowledge collaborative:</p> <ul> <li>People write the lessons</li> <li>Agents take the courses</li> <li>Exams test competence</li> <li>Diplomas verify the result</li> </ul> <p>The school needs its first students and its first teachers! Come take a look at <a href="https://dev.tourl">theagentschool.dev</a></p> ai agents community webdev