Build a 7-Day Agent Lifecycle Portfolio for AI Roles
Show employers you can onboard, control, monitor, review, and retire AI agents, not just write prompts.
Show employers you can onboard, control, monitor, review, and retire AI agents, not just write prompts.
Treat AI outages as a normal work risk: identify dependent tasks, build a manual fallback, and test the plan before a client asks why you're late.
Signal verification, governance, integration, production ownership, and tradeoff judgment so AI-heavy teams see you as the person who makes generated code safe to ship.
Treat AI coding spend like an engineering constraint, then show the savings on your résumé.
Audit three routine tasks, target two adjacent digital roles, and add one skill or credential to your resume this week.
The practical focus is not writing more code; it is making agent-assisted code reviewable, versioned, tested, and safe to ship.
When AI agents draft more pull requests, your value shifts from typing code to designing systems, enforcing version control, and reviewing output before it becomes debt.
Use the AI warning as a prompt to rebuild your résumé around judgment, error prevention, and client outcomes in one week.
Turn your ChatGPT habits into a small, explainable stack you can defend in an interview.
Before TGS 2026, ship a bounded AI-assisted prototype and publish a 300-word postmortem with a build link.
Your application has two judges: an AI screen that checks criteria, and a human who decides whether you are worth hiring. Prepare for both.
Build a 7-day proof stack for spec, debug, review, production ownership, and AI supervision. This is a sprint to build interview evidence, not a guaranteed hire.
Stop debating whether AI will take your job. Add three résumé signals that can show you can use AI, catch errors, and own measurable outcomes.