OPEN_SOURCE ↗
REDDIT · REDDIT// 4d agoOPENSOURCE RELEASE
Career-Ops fork cuts Claude API token usage by 85%
A developer has forked the popular Career-Ops AI job search pipeline to optimize token efficiency, dropping usage from 16,000 to 900 tokens per application. The open-source project leverages prompt caching, dynamic model routing, and precomputed answer banks to make agentic workflows sustainable under API limits.
// ANALYSIS
While multi-agent systems like Career-Ops prove the value of AI automation, this fork tackles the unspoken barrier to entry: API bankruptcy.
- –Aggressive prompt caching for system and profile context yields a 40% reduction in repeated calls
- –Intelligent routing sends lightweight tasks to Claude Haiku, reserving Opus exclusively for heavy reasoning
- –Precomputing standard responses into an answer bank eliminates roughly 94% of LLM calls during form-filling
- –A semantic deduplication filter catches ghost jobs and duplicate listings before they consume evaluation tokens
// TAGS
llmagentprompt-engineeringautomationjubilant-waddlecareer-ops
DISCOVERED
4d ago
2026-04-08
PUBLISHED
4d ago
2026-04-07
RELEVANCE
8/ 10
AUTHOR
distanceidiot