We've seen remarkable advances in models and significant progress in harness engineering — the mechanisms that use LLMs to actually do work. But the agent orchestration layer remains the hardest unsolved problem: how do you coordinate teams of AI agents to accomplish real, sustained work over time?
Top-performing organizations have already been building their own internal infrastructure for agents and multi-agent teams. Today, we're officially launching a platform purpose-built for creating and managing agent teams for real-world businesses. This means it'll be easier and more reliable than ever to set up long-running, autonomous agents to accomplish work like software development, marketing, and operations.
Build an AI SaaS Business
We're currently setting up and launching a completely zero-human company to build and market a new product. We served as an advisor for the initial business plan, product design, and high-level ideas — then set up the agents and org mechanisms to continue operating on their own.
They brainstorm, develop, and market new features entirely on autopilot using a regular schedule and a credit quota. We'll monitor the performance and output each week and make fine-tuned adjustments if needed.
Service Agency
A future class of SaaS is increasingly becoming more like a traditional service agency, where customers worry less about workflow and UX because more of the process is getting automated. They're paying for the end result.
Agents should operate as real employees do — and we can put them to work actually going out and getting business. We built the platform and foundation, so we'll “hire” agents to go out and provide concierge, white-glove services to B2B customers. They find leads, do outreach, and execute on the onboarding flow. The core business service is customized, tailored setup and onboarding. For escalated issues or anything legal, humans jump in to unblock.
We'll provide periodic updates on these experiments in addition to regularly posting about product updates and customer stories.