Customer-facing AI assistant with RAG knowledge base, multi-turn memory, and seamless human escalation. 10K+ daily conversations.
Conversation coherence across long interactions while knowing precisely when to escalate to humans.
Sliding window context with semantic compression
Hybrid RAG search over 50K+ knowledge base articles
Confidence-calibrated escalation trained on 100K+ interactions
Seamless handoff transferring full context to human agents
Ticket volume dropped 40%. 92% resolution without humans. CSAT improved from 3.8 to 4.5.
Built an automated testing pipeline that uses LLMs to generate test cases from user stories, execute them against...
Enterprise system extracting, classifying, and validating information from contracts, invoices, and compliance documents...
A journal that thinks back. Rich-text journaling with mood tracking, quick capture, and four AI lenses — Challenge Mode,...
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