영업용 Voice AI 에이전트: 현실적인 구현 가이드
A production-focused guide to deploying voice AI agents for sales operations. Architecture, platform comparison, cost analysis, and the integration challenges nobody warns you about.
12 min read·Empirium Team
AI & Automation
Voice AI agents, LLM integration, RAG systems, and production AI infrastructure for operators.
All AI Articles (20)
AI12 min read
프로덕션 AI 에이전트의 해부학
What separates demo AI agents from production ones — reliability, monitoring, error handling, and the architecture that scales.
AI10 min read
RAG vs 파인튜닝: 언제 무엇을 사용할까
RAG and fine-tuning solve different problems. A decision framework based on data freshness, accuracy needs, and cost.
AI9 min read
비즈니스에 실제로 작동하는 커스텀 GPT 구축
Most custom GPTs are glorified FAQ bots. How to build one that handles real business workflows with reliable outputs.
AI11 min read
SaaS 제품을 위한 LLM 통합 패턴
How to add AI features to existing SaaS products — architecture patterns, user experience, and the integration anti-patterns to avoid.
AI10 min read
프로덕션에서 AI 운영의 실제 비용
Token costs, inference infrastructure, and the hidden expenses that make AI more expensive than the API pricing page suggests.
AI11 min read
벡터 데이터베이스 비교: Pinecone, Weaviate, Qdrant, pgvector
A technical comparison of vector databases for RAG applications — performance, pricing, hosting options, and operational complexity.
AI12 min read
AI 전화 에이전트: Vapi vs Retell vs Bland vs 커스텀
Voice AI platforms for phone-based sales and support — latency benchmarks, pricing, voice quality, and integration capabilities.
AI10 min read
B2B 사용 사례를 위한 프롬프트 엔지니어링
Prompt engineering patterns that work for business applications — structured outputs, consistent formatting, and error reduction.
AI9 min read
챗봇의 종말 (그리고 대체하는 것)
Traditional chatbots frustrate users with rigid flows. AI agents that understand intent and take actions are replacing them.
AI11 min read
멀티 에이전트 시스템: 아키텍처와 함정
When a single AI agent is not enough — orchestrating multiple specialized agents for complex workflows.
AI10 min read
AI 기반 SEO: 진짜와 과대광고
Separating genuine AI SEO capabilities from marketing hype — which tools deliver measurable ranking improvements.
AI10 min read
규제 산업에서 AI 배포의 컴플라이언스 현실
Deploying AI in finance, healthcare, and legal requires compliance frameworks that most AI tutorials ignore.
AI9 min read
AI 프로젝트가 실패한 이유 (그리고 해결 방법)
85 percent of AI projects fail to reach production. The common failure patterns and the corrective measures for each.
AI11 min read
LLM 평가: AI가 실제로 좋은지 아는 방법
Evaluating LLM outputs systematically — beyond vibes to metrics, benchmarks, and automated evaluation pipelines.
AI9 min read
OpenAI 의존성의 숨겨진 비용
Building on a single AI provider creates vendor lock-in that is expensive to escape. The diversification strategies for operators.
AI10 min read
2026년 셀프 호스팅 LLM: 때가 됐을까?
Self-hosting LLMs offers control and privacy but requires GPU infrastructure. The 2026 landscape of models, hardware, and economics.
AI9 min read
리드 자격 심사를 위한 AI: 키워드 매칭을 넘어
AI lead qualification that understands context, not just keywords — intent analysis, firmographic enrichment, and scoring automation.
AI10 min read
AI 비용 최적화 운영자 가이드
Reducing AI costs by 60-80 percent without sacrificing quality — caching, model routing, prompt optimization, and batching.
AI10 min read
AI가 인간을 대체하는 곳 (그리고 절대 못하는 곳)
A realistic assessment of AI automation potential — the tasks where AI excels, the tasks where it fails, and the hybrid approach.
Explore Other Pillars
Web
Custom websites, headless CMS, performance optimization, and modern web architecture for B2B operators.
SEOInternational SEO, Core Web Vitals, content strategy, and technical SEO infrastructure that compounds.
StealthAnti-detect browsers, fingerprinting, IP rotation, and privacy-first operations for sensitive work.
StrategyMarketing operations, CRM integration, automation, attribution, and the modern B2B tech stack.