Research
What we are figuring out.
We publish what we learn. Some of it feeds directly into the agents we build. Some of it is just interesting.
AI Agent Reliability in Production
Most AI agent projects fail before reaching production. We studied the common failure patterns, from orchestration breakdowns to cascading errors, and documented the architectural decisions that separate agents that demo well from agents that actually work under real conditions. Based on industry data and our own operational experience.
Download whitepaperThe Real Cost of Manual Operations
A breakdown of what repetitive manual work actually costs a business when you account for error rates, employee turnover, opportunity cost, and scaling limitations. Includes benchmarks across support, document processing, and workflow management. Designed to help business owners make informed decisions about when automation makes sense and when it does not.
Download whitepaperAgent Safety and Governance Patterns
How to build agents that know their limits. We document the patterns we use for confidence thresholds, human escalation, approval workflows, audit trails, and rollback mechanisms. Written for teams that need agents in production but cannot afford the risk of an uncontrolled system.
Download whitepaperInternet-Native Payment Protocol (x402)
The HTTP 402 status code was reserved for "Payment Required" but never implemented. The x402 protocol finally puts it to use. We are researching how this open standard enables AI agents and automated services to pay for APIs, compute, and data instantly with stablecoins. Our focus is on practical integration patterns and what this means for building autonomous services.
Download whitepaperFederated Communication Infrastructure
Every business runs on chat, but almost none of them own it. We are studying federated communication protocols as an alternative to centralized platforms. The premise is simple: organizations should be able to host their own communication, connect with others seamlessly, and maintain end-to-end encryption without trusting a third party.
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