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A conversational shopping agent over a frozen 50k-item Amazon catalog: hybrid BM25/dense/metadata retrieval, cross-encoder rerank, a calibrated dialog state machine, optional LLM rerank, 10-turn cap.
RecommenderForge autonomously tests ranking ideas, learns from validation, recovers from failures, and ships checkpoint-backed predictions—making recommender research fast, safe, and easily traceable.
AI-image detection that survives the real internet. Compression takes off-the-shelf detectors from 71% to under 1% — we hold 83% worst-case, and every verdict carries a measured confidence grade.
It controls what an agent is allowed to know, proves what it actually knew, and repairs the damage when a fact turns out to be wrong.
