Demonstrates frontend UX, backend orchestration, and professional workflow design.
AI Executive Assistant Platform
A professional AI application that unifies email, calendar, automations, and task-specific agents in one interface. The portfolio version focuses on work-ready productivity features and uses approved demo data rather than personal lifestyle modules.
Supports Google and Microsoft connectivity along with workflow-specific API actions.
Routes specialized tasks across multiple models based on quality, speed, and task fit.
What this project shows
This project demonstrates full AI application deployment rather than a single model call. The assistant combines a polished interface, connected productivity tools, multi-model routing, workflow automations, and protected API connectivity.
Core capabilities
- Unified assistant, email, and calendar workspace
- Google and Microsoft OAuth connections for inboxes and calendars
- Task-specific sub-agents for research, travel, scheduling, and queue-based workflows
- Automations, runtime controls, and model-source management
- Professional portfolio mode with lifestyle features removed
Technical stack
The platform is designed to demonstrate AI deployment, Python-backed workflow logic, API integrations, application development, model routing, and operational controls. Screens show Google and Microsoft connectivity, agent orchestration, security surfaces, and an LLM source panel that includes GPT, Gemini, and Claude.
Why it is relevant
This project complements the FP&A Slack agent by showing public, end-to-end AI product development. Together they demonstrate both real business impact in finance and independent deployment capability across application design, APIs, and agent workflows.
Email, calendar, chat, daily briefing, and connections
The portfolio-facing version uses fictional work data and a neutral assistant identity. Personal health, smart-home, music, and character-based features are excluded.





