Cognit AI Agent Platform
An autonomous agent platform running customer support loops via OpenAI models and vectors.
Project Scopes & Goals
Cognit AI Agent Platform Case Study
Cognit AI allows businesses to generate responsive, autonomous customer support agents. We developed the platform's core dashboard, agent workspace, and background execution pipeline.
Visualizing the Workspace
The agent workspace is built with high-performance React layouts that allow dragging, dropping, and configuring node pipelines.
System Architecture
Autonomous execution workers written in Go ingest tasks from a Redis queue, querying Pinecone and sending final synthesized context to OpenAI's GPT models.
Technical Challenges
Developing a fluid drag-and-drop workspace that doesn't trigger redraw lag when complex flows contain 100+ connected nodes.
Lessons Learned
Extensively decoupling global states and using localized Zustand stores prevents unnecessary react tree updates.
Core Specifications
Screenshots
