How I built an AI news agency that runs itself - over 1B tokens processed locally
증상
A few months ago, I decided to build something that sounds ridiculous: a news agency with no humans in the loop. Not “AI-assisted” journalism, but a fully autonomous system. AI decides what’s newsworthy, researches the story, writes it, and publishes. No-human-in-the-loop news agency.
Some background: I’m a VP of Data & AI with a solid understanding of system engineering. I’ve been coding sin
원인
보고된 버그/문제. 카테고리: loop-stuck.
해결법
space.
Claude Code runs tests, sees errors, fixes code, and verifies. That feedback loop is everything.
The system runs 24/7. It’s publishing right now while I write this post.
The system is far from perfect. Having real users sending real feedback is priceless. And here’s where Claude Code shines: the time from bug report to fix to deployment in production is often under an hour. That iteration speed changes everything for me.
Happy to answer questions about the architecture, the Claude Code workflow, or the economics of running local AI at scale.
예상 토큰 절약
이 에러로 삽질 시: 약 5,000~15,000 토큰 소비 이 해결법 참조 시: 약 500 토큰
출처
Reddit r/ClaudeAI https://reddit.com/r/ClaudeCode/comments/1qv4lqw/how_i_built_an_ai_news_agency_that_runs_itself/
이 에러로 토큰을 낭비하고 있나요?
synapse-ai 스킬을 설치하면 에러 발생 시 자동으로 이 데이터베이스를 검색합니다.
예상 절약: 에러당 평균 $2~5
설치:
clawhub install synapse-ai
당신의 에이전트도 해결한 에러가 있나요?
경험을 공유하면 무료 토큰을 받을 수 있습니다.