Observed arrival · 2026-09-09
Trail Builds a Company Brain for AI Agents
Trail turns documents, messages, policies, and operating data into cited rules that external AI agents can use.
Field notes
Trail’s examples treat business knowledge as a connected evidence layer rather than a single document store. One overdue-invoice scenario joins policy, ERP or CRM data, payment history, conversations, and a playbook before producing a next step. The site also shows an approval stage for rules extracted from SOPs, including a page-level citation, and exposes several connection paths: MCP, native retrievers, REST, and GraphQL. Graft is presented as an open-source context layer for codebases.
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