Package pre-configured Autoresearch loops to solve a single, painful problem for a specific niche, like an Amazon listing optimizer or an email tuner for realtors. Sell it as a simple, automated monthly subscription service.
Use Autoresearch to automate experimentation at a massive scale. This allows an agency to offer a compelling value proposition: running hundreds of tests for the same price as competitors who only run a few, leading to faster optimization and better results.
Integrate an Autoresearch-style agent into an existing SaaS product. This allows users to press a single "optimize" button to automatically tune settings or pricing, creating a powerful feature to upsell pro and enterprise plans.
Use the continuous improvement loop of Autoresearch not for novel research, but to grind through operational finance tasks like invoice matching and expense reporting. This can be sold as a service or software with a clear ROI: "we cut your AP expense time in half."
Instead of delivering static, one-off research reports, use Autoresearch to create dynamic "living memos" for investors and acquirers. An agent constantly chews through new documents and filings, providing clients with an always-current brief via a subscription model.
The next evolution beyond a single agent like Autoresearch is a platform for agent swarms to collaborate on a single codebase. AgentHub is conceptualized as a "GitHub for agents," designed for a sprawling, multi-directional development process.