Case study
Agentic Financial Analytics
A Python financial-analytics application built with Spec-Driven Development in Claude Code — agentic Claude features run multi-source data import, research, and recommendations via the Anthropic API.
RoleAI product builder
StackPython · Anthropic API
MethodSpec-Driven Development
ModelsTask-aware routing
Context
Placeholder — the analyst workflow this replaces, and why an agentic approach fits multi-source financial research.
What we built
Placeholder — Spec-Driven Development in Claude Code, task-aware model routing, and the agentic loop that imports, enriches, researches, and recommends.
System diagram
Outcomes
Placeholder — analysis turnaround, quality of recommendations, and the cost/quality balance from task-aware model routing.