Software built for AI agents from day one
We design and build custom software with MCP integration baked into the architecture. Your systems ship ready for AI agents to read, write, and act on your behalf.
What is agent-first software?
Agent-first software is built from the ground up with the assumption that AI agents, not just humans, will interact with it. Every data model, API endpoint, and workflow is designed with a corresponding MCP server layer that exposes Tools, Resources, and Prompts to any connected agent. This means your software doesn't just have a user interface; it has an agent interface. The result is a system where AI agents can autonomously query data, trigger actions, and follow complex workflows without brittle custom integrations or screen-scraping hacks.
Our technology stack
AWS
We build on Amazon Web Services for reliable, scalable cloud infrastructure. From compute and storage to managed databases and serverless functions, AWS gives us the building blocks to deploy production-grade systems that grow with your business.
Terraform
Every piece of infrastructure is defined as code using Terraform. This means your environments are reproducible, auditable, and version-controlled. No manual server configuration, no snowflake deployments, no surprises when it's time to scale.
Claude Code
We use Anthropic's Claude Code as our AI-powered development partner throughout the build process. It accelerates everything from code generation to architecture validation, letting us ship faster without sacrificing quality or security.
Model Context Protocol
MCP is the open standard that makes your software agent-ready. We build MCP server layers that expose your system's capabilities as Tools, Resources, and Prompts, giving any compatible AI agent a structured, secure way to interact with your data and workflows.
Who this is for
This service is for SMBs building new software products or internal platforms and want them ready for the AI agent era from launch. If you're starting a new project and don't want to retrofit AI capabilities later, this is the path that saves you time and money.
How we build it
Discovery
We map your business processes, identify the workflows that matter most, and define exactly what your software needs to do for both human users and AI agents. You walk away with a clear project scope and a shared understanding of what success looks like.
Architecture
We design the system architecture with MCP integration as a first-class concern. Every service, data model, and API is planned alongside its corresponding MCP server layer so agents have structured access from the start, not as an afterthought.
Build
Our engineering team builds your software in iterative sprints with continuous delivery. You see working software every week, and every component ships with its MCP server layer tested and functional alongside the human-facing interface.
Agent Activation
We connect real AI agents to your MCP servers and validate that they can perform the workflows you defined in Discovery. This is where your software comes alive: agents reading data, triggering actions, and running processes autonomously.
Ready to build software that AI agents can actually use?
Get in touch and we'll map out what agent-ready software looks like for your business.