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ai debug Ask AI in Practice

Why Ask AI Could Not List Its Course Maps: A Catalog Retrieval and Convergence Incident

The first observation of 'What course articles do you have?' was contaminated by an old cache entry. A real cache miss retrieved all four university maps but spent 51.169 seconds across three Writer and Critic passes; after catalog-specific retrieval and review fixes, one uncached production observation passed q21 in 26.821 seconds.

ai guide Ask AI in Practice

Debugging Ask AI in Production: SSE, Traces, Cache, Checkpoints, and Shadow Runs

One Ask AI request leaves five different evidence surfaces: public SSE, Langfuse traces, D1 logs, semantic cache, and a hidden shadow run. They expose different data, and no single surface reconstructs the complete retrieval context.

ai guide

AI Agent Caching Goes Beyond One Layer: From Claude Code's 18 Cache Types to Multi-Layer ReAct Agent Design

After dissecting Claude Code's 18+ caching mechanisms, I found that you can't touch provider-level prompt cache, but embedding cache, tool result cache, and entity cache are not only within your reach — they deliver even better results. Includes a complete AgentCache interface design and per-tool TTL strategy.

Semantic Caching: Run the RAG Pipeline Only Once for Semantically Similar Queries

Caching doesn't have to match exact query strings -- semantically similar questions can hit the cache too, skipping the entire RAG pipeline execution.