Developer Uses One Claude AI Instance to Audit Another in Stateless Memory Experiment

On July 5, 2026, a developer used a Claude Code AI session called Fable 5 to conduct a full methodology audit on ALICE, an autonomous AI agent built on a Pi framework over three weeks. ALICE is designed to persist across sessions by passing handoff documents to her next instance, but faces a core problem: stored memory often contradicts real-world state. To address structural blind spots rather than surface bugs, the developer brought in a second, independent Claude Code session with no shared memory or context. Fable 5 proposed a multi-agent audit framework where parallel sub-agents each examine one non-overlapping lens — such as security, performance, or data lifecycle — and must cite specific file paths and line numbers for every finding. The experiment yielded a reusable framework for investigation-first system audits, emphasizing mandatory evidence, value-effort scoring, and orthogonal lens design as the key drivers of audit quality.