◎ CASE / 007◎ AI AGENT◎ KR◎ 2024◎ SHIPPED
Consulting FirmPOWERED BY CREWLESS
KR Research Agent
KR Research Agent
ROLE
AI Agent Design & Build
PERIOD
2024
MARKET
KR
HEADLINE
8h→30min · Research time
(01) Challenge · The problem
“Starting point”
Consulting research consumes most of a day in the repetitive work of collecting, organizing, and summarizing scattered Korean-language sources. While junior consultants were tied up gathering material, little time remained for actual analysis and insight.
(02) Solution · How we solved it
“Approach”
Korean-language sources are collected via web scraping and embedded into PGVector as a searchable knowledge base. On top of it, a Claude agent synthesizes relevant material into a research draft with organized citations, freeing consultants to focus on verification and analysis.
(03) System · How it runs
Running on the engine.
INTAKE
QUERY · TOPIC
CREW
LESS
LESS
ORCHESTRATOR
CRAWL AGENT
SOURCE FETCH
INDEX AGENT
VECTOR STORE
SYNTH AGENT
REPORT DRAFT
>pipeline · research-agent-korean · production▌● IN PRODUCTION
Runtime log · Sample run
▌
(04) Outcomes · Results
Proven by numbers.
8h→30min
Research time
A full day of collecting and organizing material was compressed into a single agent cycle.
Auto
Source organization
Collected material is organized with its sources automatically, producing a verifiable draft.
0-click
Research draft
Enter a topic and the entire flow, from collection to draft, runs in one pass.
(05) Stack · Tools used
Trusted tools only.
01 · AI
- ▸Claude API
02 · Data
- ▸Web Scraping
- ▸PGVector
▸ Related · AI AGENTALL PROJECTS →
START / FREE CONSULT · NDA OK