Career-Ops fork cuts Claude API token usage by 85%

// 50d 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

50d ago

2026-04-08

PUBLISHED

50d ago

2026-04-07

RELEVANCE

8/ 10

AUTHOR

distanceidiot

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