Functional analysts live in the messy middle of software delivery.

Before engineers can estimate, before QA can test, and before stakeholders can approve scope, someone has to translate raw product ambiguity into something the team can actually use.

That work usually means writing:

user stories

acceptance criteria

QA test cases

risk matrices

stakeholder summaries

technical notes

Jira-ready tickets

It is valuable work, but it is also repetitive, time-consuming, and easy to underestimate.

So for the Build With Gemma 4 DEV Challenge , I built Gemma Functional Analyst Copilot : a production-deployed AI workspace that uses Gemma 4 to accelerate software delivery documentation.

Repository: github.com/olcesefacundo97/gemma-functional-analyst-copilot

Live frontend: gemma-functional-analyst-copilot-cl.vercel.app

Live backend: gemma-functional-analyst-copilot.onrender.com

Production model: models/gemma-4-26b-a4b-it

The Idea

Most teams do not start with clean requirements.

They start with meeting…