Optimized PDF extraction for faster resume processing — 3.7M tokens

Optimized PDF extraction for faster resume processing

diepa-workflow-falktron

DEEP WORK

108.5x your typical session

3.7M tokens vs typical 33.9K

3.7Mtokens

19prompts

9:19:13time

700lines

Claude Codeclaude-opus-4-8[1m]Python$85.79

mostly building

Removed redundant PDF parsing and added parallel OCR processing to speed up resume extraction pipeline.

Tokens / prompt193.7k

Cost / line$0.123

Cache hit97%

Burn rate$9.20/hr

Derived from this session's token and cost data. Not shown on the feed.

Building 71%Verifying 0%Thinking 29%