LifeOps AI
An agentic personal-life administration system that connects RAG, Google Calendar, Gmail intelligence and action-taking workflows.
LifeOps AI is designed as a practical agentic assistant: it understands user intent, retrieves personal knowledge, reasons over tasks and can execute supported actions through connected services.
Search less.
Find evidence faster.
The problem worth solving.
Life-admin tasks are scattered across calendars, email and notes. Normal chatbots can answer questions, but they cannot reliably retrieve context and complete multi-step actions.
A focused path to the solution.
Built an agentic architecture with structured tools, RAG retrieval, OAuth-backed Google integrations, persistent application data and workflow routing for calendar and Gmail operations.
How the system flows.
Each stage has one clear job: prepare the documents, index meaning, retrieve context, and generate the final response from that context.
User request
Intent + tool routing
RAG / personal context
LangGraph workflow
Calendar / Gmail tools
FastAPI services
PostgreSQL + pgvector
Structured response
More than an
LLM text box.
The value is in the retrieval system around the model: document preparation, semantic search, context selection, evaluation, and a usable interface.
Calendar event creation, update and deletion workflows
Gmail intelligence and email metadata layer
Parent-child chunking, retrieval and reranking pipeline
Auth0 authentication and encrypted OAuth token handling
A focused stack for document intelligence.
What the project delivered.
A single conversational interface that can move from understanding a request to retrieving context and executing supported life-admin actions with explicit tool boundaries.
Have a product idea worth building?
I build practical AI applications with a focus on clear product value and reliable engineering.