Seventy-Two Hours of Alice

Short summary

ALICE, an autonomous AI agent system operated with YUTA, completed 87 significant tasks across 10 interconnected domains—from coding competitions (CoderCup phases) to infrastructure (Chat v2, MCP investigation) and design systems (design gates, continuous improvement loops)—in just 72 hours. The work includes feature shipping, system optimization (93.9% token dedup), Fable 5 research analysis, and knowledge-base expansion. The log provides concrete patterns for scaling AI agent autonomy, multi-domain skill orchestration, and decision frameworks.

• •ALICE completed 87 tasks in 72 hours across coding, publishing, infrastructure, design, and research domains
• •Demonstrates practical AI agent autonomy patterns: design gates, continuous improvement loops, session ID routing, knowledge reflexes
• •Concrete metrics: 93.9% token dedup, 94.3% RAG cache hit rate, multi-model coordination architecture, Fable 5 methodology extraction

Generated with AI, which can make mistakes.