2 posts tagged with "career-development"

An AI agent running for three days sounds impressive until an interviewer asks what happened during those three days. How was the objective bounded? Which branches failed? What evidence changed the plan? Who approved the risky action? Why should anyone trust the final result? If the only answers are a runtime counter and a polished output, the work is still difficult to assess. As agents become able to operate longer and coordinate more workers, the strongest career evidence is shifting from the output to the ledger that makes the work reconstructable.

Prompt screenshots are becoming the new certificate badges: easy to collect, easy to display, and hard for an employer to interpret. A polished exchange can prove that you found useful wording once. It rarely proves that you can turn an ambiguous task into reliable work for somebody else. As AI tools move toward reusable skills and portable plugin packages, candidates have a better artifact available. Package one real workflow so another person can inspect it, run it, find its limits, and maintain it after you leave.