SteadyPath Careers

Career transitions are high-stakes and generic advice doesn’t help. The aim was a greenfield platform that could give people structured, personalised career guidance they could actually act on, built quickly but not carelessly.

A spec-driven, agent-built SaaS platform. The product was defined as clear specifications and executed through agentic workflows in Claude Code, with me as the human moderator holding the quality bar through review and evaluation. That let a small effort move fast without the usual trade-off in reliability.

Building a real product primarily through AI agents while keeping it maintainable and correct; making guidance personal and useful rather than generic; and holding a high accuracy bar with automated checks, not just manual QA.

A live career-transformation platform, built spec-first and agent-executed, demonstrating that the AI-first way of working produces production-grade software when it’s paired with a real review-and-eval discipline.