Onboarding with more context
A day of expanding the accounting prototype with scenarios, documentation, municipal data, and notes for future integration.
The day continued on the accounting onboarding prototype, now with more domain context. The question stopped being only "which screen should we build" and became "which information must exist for the screen to be useful".
Scenarios and structured data
I worked with example scenarios to test the system's reasoning: services, commerce, partners, revenue, payroll, and location. The intent was to understand which fields change the flow and which questions need to appear early.
I also researched public state and municipality data to avoid manual entry where a structured source can solve the problem. This kind of detail looks small, but it improves the experience a lot when the form starts to grow.
Documentation and direction
The project gained documentation updates and integration notes. I also created a README to give context to anyone opening the repository and needing to understand the proposal quickly.
In practice, the architecture started pointing to a base with normalized data, decision checklists, and agents operating over information that is already structured. That is better than asking AI to guess from loose text.
The result of the day was domain maturity: a prototype gets stronger when examples force the model to answer real questions.