AI Chat Assistant
AI-powered chat assistant using GPT-4 API with context awareness, multi-language support, and custom training capabilities.
Overview
AI Chat Assistant is a multi-channel assistant built on GPT-4 with strong guardrails and a clean UX. The goal was to deliver helpful answers while keeping behavior predictable for both users and administrators.
Focus: context quality, safety, and latency. Audience: customer support + internal knowledge workflows.
Capabilities
- Context awareness: session memory + retrieval snippets
- Multi-language: 15+ languages with locale-aware formatting
- Tools: knowledge search, ticket creation, and link suggestions
- Admin: prompt templates, policy rules, and analytics
System design
The backend is built with FastAPI and containerized with Docker. Requests are structured, validated, and traced to keep responses consistent.
- Prompt orchestration: system rules + user intent + retrieved context
- Safety: refusal paths and safe completion patterns
- Performance: streaming responses and caching for common intents
Evaluation & iteration
I set up lightweight evaluations to prevent regressions: golden prompts, intent coverage checks, and qualitative reviews. Documentation includes example prompts with bold constraints, tone guidance, escalation rules, and clickable references.
Links: product spec, evaluation notes, and demo.