Agent Guild

Inspiration

We were inspired by the gap between impressive AI demos and real operational tools. Most agent products feel like isolated chat windows, but real teams need visibility, control, trust, and coordination across many agents at once. We wanted to build a system that feels like mission control for AI: a place where operators can launch tasks, monitor activity, manage risk, and step in when needed.

What it does

Agent Guild is a command center for orchestrating specialized AI agents. It gives operators a unified interface to monitor agents, launch missions, track trust and system health, communicate with agents in real time, sync external context into workflows, and escalate important events when human action is needed. The goal is to make AI agents easier to supervise, coordinate, and use in real workflows.

How we built it

We built Agent Guild as a React + TypeScript app with Vite and a custom futuristic dashboard UI. On the backend, we added an Express service to handle integrations and proxy live model traffic. We connected TrueFoundry for AI gateway and streaming responses, Auth0 for operator authentication and connected-account foundations, Airbyte for external data sync concepts, and Bland.ai for voice escalation workflows. We focused on creating a product that is both visually memorable and architected to evolve into a real agent operations platform.

Challenges we ran into

One of the biggest challenges was bridging the gap between a polished demo and a fully real end-to-end system. It is easy to make an interface look alive with sample data, but much harder to connect every screen to live state, real integrations, and persistent workflows. We also had to balance multiple sponsor technologies, keep the user experience cohesive, and design around complex concepts like trust, approvals, live streaming, and escalation without making the app feel overwhelming.

Accomplishments that we're proud of

We are proud that Agent Guild feels like a real product, not just a prototype. We created a distinctive mission-control experience, tied multiple integrations into one workflow, built live AI response streaming, added operator authentication, and introduced voice escalation as part of the agent lifecycle. Most importantly, we turned a broad “multi-agent dashboard” idea into a clear product vision with a strong identity.

What we learned

We learned that building agent products is not just about model access. The real challenge is orchestration: making agents observable, reliable, controllable, and useful inside human workflows. We also learned how important product design is for helping people understand complex AI systems, and how much stronger sponsor integrations become when they are woven into one story instead of presented as isolated features.

What's next for Agent Guild

Next, we want to make Agent Guild fully real end to end. That means replacing remaining mock data with persistent backend state, completing connected-account flows so agents can securely act on behalf of users, turning synced context into real data pipelines, and replacing simulated actions with live tool execution. We also want to add testing, improve mission replay and auditability, and produce a fully reliable live demo flow. Long term, we see Agent Guild becoming an operating layer for teams managing fleets of AI agents across support, security, research, operations, and autonomous workflows.

Built With

• claude
• html5
• sqlite
• typescript