Domain Expertise +
Building with AI
Is the New Baseline

Vibe coding is the practice of using AI to quickly turn ideas into prototypes, tools, and workflows through conversation and iteration, without needing to write the code yourself.

As a domain expert and knowledge worker, you should care because it lets you apply your expertise directly. Instead of waiting on engineering cycles or learning a full tech stack, you can explore ideas, validate assumptions, and build useful artifacts faster. When paired with clear goals and basic structure, vibe coding becomes a practical way for knowledge workers to adapt to the new baseline where domain expertise and AI work together.

As a domain expert, you already know what tools are missing, which workflows are inefficient, and what users actually need. The challenge is not knowing what to build. It is turning that knowledge into something tangible.

AI lets you do that directly. By clearly describing your goals, constraints, and expected outcomes, you can guide AI to create prototypes, tools, and workflows that reflect how work really happens in your domain. With structure and intentional planning, AI handles the technical execution while you stay focused on shaping solutions based on your expertise.

With AI, you can build the things you already know should exist in your domain. That includes prototypes to test ideas, internal tools that remove manual work, and workflows that automate repetitive or error-prone tasks.

Domain experts commonly use AI to create planning tools, decision support aids, content and data pipelines, dashboards, internal utilities, and early versions of applications used to validate needs with real users.

Want to see some great apps built using AI? Check out our App Gallery!

Spec Driven Development (SDD) is an approach where you and AI start by clearly defining what you want to build before generating anything. It focuses on making your intent explicit through goals, requirements, constraints, and examples so AI understands the problem space upfront.

For domain experts, this means capturing what you already know about users, workflows, and outcomes, then using that clarity to guide AI. The result is less rework, more consistent output, and prototypes, tools, or workflows that better reflect how things should actually work in your domain.

There are various frameworks today that support Spec Driven Development, including our very own, Cody Product Builder.

AI is powerful, but it does not understand your domain, your users, or your constraints unless you make those things explicit. As a domain expert, your value comes from knowing what matters, what does not, and how decisions affect real outcomes.

Knowing how to guide AI means translating that understanding into clear instructions, context, and expectations. When you do that, AI becomes an extension of your expertise. You get more accurate results, fewer misfires, and outputs that align with real-world needs instead of generic answers.

This skill is becoming a core capability for anyone who turns knowledge into decisions, tools, or workflows.