The Library Where Agent Decisions Get Read

What this means for you

LORE is the reading room for everything your agents have decided. When an AI worker picks an architecture, ships a fix, or escalates a call, it lands here — searchable, reviewable, and yours to learn from.

The pitch

A standalone library at lore.devarno.cloud where humans search agent decisions, mark which ones worked, and turn the wins into learnings the next agent reads first.

Who it’s for

The engineering lead, ops manager, or platform owner who wants to see what their AI agents actually did this week — without grepping a JSON folder on someone else’s laptop.

Proof points

• Eight filter dimensions on the search page: date, agent, role, type, severity, confidence, outcome, reviewed status
• Every decision links upstream and downstream — click any entry to see what it depended on and what came after
• Outcome annotation in two clicks: pick success, partial, failure, or unknown, write a note, link a learning

mindmap
  root((LORE))
    Search
      eight filters
      shareable URLs
    Review
      outcome annotation
      learning links
    Learn
      causality view
      cross-org analytics
    Govern
      role-scoped access
      council visibility