Convia AI

Inspiration

We built CONVIA — Never Lose the Thread with one simple question in mind: What if people never had to lose important context, commitments, or ideas between conversations and their daily work?

Today, our work is scattered across chat applications, documents, notes, research platforms, and task managers. We often remember what needs to be done but lose the context behind why it matters.

We wanted to solve this problem by creating more than another AI chatbot. Our vision was to build a Personal Continuity Engine that connects conversations, knowledge, commitments, and ongoing projects in one intelligent workspace.

What We Built

CONVIA brings together multiple productivity workflows into a unified platform.

Some of its key capabilities include:

• AI Conversations: Context-aware, multi-turn conversations connected to relevant information and previous work.
• Missions & Commitments: Convert objectives into structured missions, tasks, deadlines, and trackable progress.
• Knowledge Vault: Preserve important information, notes, and reusable context.
• Documents & Research: Upload, organize, search, summarize, and work with documents and research.
• Agent Center: Manage persisted AI-generated plans and their execution steps.
• Studio & Playbooks: Support structured workflows such as project planning, decision analysis, meeting actions, and writing.
• Voice Capabilities: Support voice-based interaction and an optional NVIDIA Parakeet transcription integration.

Our central workflow is simple:

Capture → Model → Review → Decide

Instead of generating responses that disappear into a chat history, CONVIA aims to turn useful information into structured, reusable, and reviewable records.

How We Built It

We developed CONVIA using a modern full-stack architecture.

The frontend is built with Next.js 14, React, and TypeScript, providing a responsive and unified workspace. The backend uses Python and FastAPI, handling authentication, APIs, document processing, research workflows, and AI integrations.

We use SQLAlchemy for database operations, Alembic for database migrations, and support SQLite and PostgreSQL environments.

For AI capabilities, we designed a configurable provider architecture supporting NVIDIA NIM and Nebius Token Factory, with an optional NVIDIA Parakeet transcription pathway. We also incorporated Tavily Search as an optional research integration.

A key architectural decision was to maintain human control over important actions. Proposed actions can be reviewed and approved separately from their actual execution. This helps distinguish between what an AI suggests and what a system has genuinely completed.

Challenges We Faced

Building CONVIA was challenging because we were not simply building a chatbot interface. We were bringing together several interconnected systems into one application.

Some of our biggest challenges included:

• Maintaining conversation context across different workspaces and sessions.
• Connecting structured commitments, missions, documents, and research without losing their relationships.
• Designing a flexible backend architecture capable of supporting multiple AI providers.
• Managing authentication, database persistence, document processing, and API communication.
• Handling unavailable external integrations and ensuring the application does not present unexecuted actions as completed.
• Balancing a feature-rich application with a clean, intuitive user experience.

Working through these challenges taught us the importance of modular architecture, reliable data management, API design, and responsible AI integration.

What We Learned

Throughout this project, we gained practical experience in full-stack development, AI-provider integration, backend architecture, database management, document processing, and building interconnected application workflows.

More importantly, we learned that building a useful AI product is not just about generating intelligent responses. It is about making those responses meaningful, preserving context, and helping people turn ideas into measurable progress.

What’s Next

CONVIA is an evolving project. We envision expanding its AI capabilities, strengthening NVIDIA and Nebius integrations, improving semantic knowledge retrieval, introducing more reliable background agent execution, and connecting additional external services with explicit user authorization.

Our ultimate goal is to make CONVIA a reliable personal and project operations layer that helps people stay organized, maintain continuity, and never lose track of what matters.

CONVIA — Never Lose the Thread.

Built With

• agentic
• api
• database
• docker
• engineering
• factory
• fastapi
• full-stack
• generative
• javascript
• management
• nebius
• next.js
• nvidia
• parakeet
• postgresql
• python
• react.js
• rest
• sqlalchemy
• sqlite
• typescript