Eric Zakariasson works on AI at SpaceX after an early role at Cursor. He builds developer tools and writes practical accounts of running, supervising and designing coding-agent workflows.[1]
Start with Human in the /loop →Contributions
His personal project list includes Scandinavian Design, an agent skill for restrained interface design, and a browser demonstration that lets readers switch between desktop and mobile examples. It also lists Web UI Bench, a comparison of models on the same interface applications, and cookbooks for Cursor and Grok. These projects make his interest in agent behavior concrete: how an agent is instructed, what environment it can use and how a person assesses the result.[1][5]
Ideas
Supervising through a measurable goal
In “Human in the /loop,” Zakariasson describes giving a long-running agent a fixed definition of done before it starts. The target might be a test suite, a browser check or a performance measurement. The agent iterates against that target and stops when it succeeds, stalls or needs a decision. Notifications bring the person back at those points. His workflow moves some of the effort from continuously watching output to designing a check the agent can actually perform.[4]
Separate coordination from bounded work
“Let the smart model delegate” describes using one model to plan and coordinate while faster workers handle well-scoped subtasks. Each brief specifies a concern, context, a testable result and what to report. The coordinating model reviews the returned work. He also explains when to keep a problem in one session: a difficult judgment or tightly coupled investigation may not divide cleanly. The article is an account of his experiments with Cursor’s models and cloud agents.[3]
Tools, writing & talks
Writing, research & talks
Start here
Human in the /loopericzakariasson.comA workflow for supervising long-running agents through measurable goals, stop conditions and notifications.
Read the loop article for a small workflow you can apply to a testable task. You need familiarity with a coding agent, but no particular model or cloud account to understand it.
Author.[4]A comprehensive guide on how to design command-line interfaces that work effectively with AI agents. Provides practical patterns for making CLIs non-interactive, agent-friendly, and robust for automated use.
Catalog workOriginal source- Let the smart model delegateericzakariasson.com
Describes planning with an orchestrating model and delegating bounded tasks to workers.
Author.[3]
Tools
- Scandinavian Design skillscandinavian-design.vercel.app
Desktop and mobile examples of a restrained interface-design skill.
Listed personal project.[1][5]Original source