The Agent Suite

Problem

Many small and mid-sized businesses still treat customer communication as a manual queue: missed calls, slow follow-up, inconsistent qualification, and brittle handoffs between CRM, scheduling, payment, and operations tools. The Agent Suite lives in the practical end of AI agents: systems that answer, route, book, qualify, and follow up so a business can capture more demand without turning every workflow into another hiring problem.

Solution

The product is positioned around human-sounding voice AI agents and automation workflows for inbound calls, outbound outreach, customer service, appointment setting, and lead qualification. The core promise is not just "chat with an AI," but a reliable communication layer that plugs into the business systems a team already uses while preserving a personal customer experience.

How

• Collaborators: Garrett Sheehan and Matt Paternostro.
• Stack: Python, Supabase, Postgres, SQLModel, Pydantic, FastAPI, Stripe, TypeScript, React Native, and Expo.
• Reference: The Agent Suite About page.

The build combined agent-facing product surfaces with the less visible infrastructure that makes automations useful in production: typed APIs, persistent customer and workflow state, payment plumbing, and mobile-ready interfaces for operators who need to monitor or adjust what the agents are doing.

Results

The company site now frames The Agent Suite as an AI voice-agent platform for business communication, with adjacent offerings around automation services, AI education, resources, and demo-driven sales. That is a clearer read on the project than a generic "autonomous agents" label: this was about turning AI agents into revenue, support, and operations capacity for real businesses.

Lessons

Business automation works best when the agent is not treated as a novelty. The interesting engineering problem is the whole loop: natural conversation, structured state, integrations, escalation paths, billing, observability, and a product interface that makes the system legible to the humans who remain responsible for outcomes.