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Eric Zakariasson

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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 →
Eric Zakariasson

Education

IT-Gymnasiet

Studies

2014 – 2017

[2]

Links

Website X LinkedIn

AI work · SpaceX

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.com

    A 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

References

Latest source check 2026-10-28

  1. [1] Eric Zakariasson: anyblockers

    ericzakariasson.com · Checked 2026-10-28

  2. [2] Eric Zakariasson professional profile

    www.linkedin.com · Checked 2026-10-28

  3. [3] Let the smart model delegate

    ericzakariasson.com · Checked 2026-10-28

  4. [4] Human in the /loop

    ericzakariasson.com · Checked 2026-10-28

  5. [5] Scandinavian design: before and after

    scandinavian-design.vercel.app · Checked 2026-10-28

Eric Zakariasson | VibeLeaderboard