About Teamster.ai

The Problem

Every organization has more work than people. Teams are stretched thin across research, content creation, code reviews, support tickets, and operational tasks. Hiring is slow and expensive. AI tools are powerful but fragmented — you end up juggling ChatGPT, Copilot, and a dozen other tools without any coordination.

Our Approach

Teamster takes a different approach: instead of adding more tools, we help you build a team. Connect your Slack workspace, and our AI Team Architect analyzes your org structure, identifies capability gaps, and recommends the right mix of AI agents and human roles.

Each AI agent runs in its own isolated container with access to your repos, tasks, and team context. They don't just answer questions — they execute multi-step tasks, save artifacts, create pull requests, and stream results live so you can iterate in real time.

What Makes Us Different

• 1.Slack-native analysis — We don't ask you to fill out forms. We read your workspace and understand your team.
• 2.Agents that actually do work — Not chatbots. Agents that clone repos, write code, create PRs, and save deliverables.
• 3.Humans stay in control — AI handles execution, humans make decisions. Role-based permissions at every level.

Built With

Teamster runs on AWS (Amplify, ECS Fargate, DynamoDB, Cognito), uses Claude by Anthropic for AI reasoning, and connects to your tools via the Model Context Protocol (MCP). The platform is built with Next.js and TypeScript.