Tool Calling, Dynamic UIs, and Code Generation for Modern Web Apps
In this whitepaper, you’ll learn:
- How Hashbrown simplifies AI assistant integration in Angular and modern frontend apps
- How to implement tool calling directly in the frontend while keeping LLM access secure
- How structured AI outputs can power dynamic, component-driven user interfaces
- How LLMs can select and render interactive UI components inside chat responses
- How natural language queries can generate executable JavaScript for dynamic charts and reports
Table of Contents
-
- Introduction — Why AI-powered frontends are changing modern web apps
-
- Tool Calling with Hashbrown — Connect AI assistants to frontend actions and app data
-
- Dynamic UIs for AI Assistants — Let LLMs render interactive components in chat responses
-
- Natural Queries for Code Generation — Turn user prompts into executable JavaScript logic
-
- Secure AI Frontend Architecture — Use lightweight backends and sandboxes for safer LLM integration
