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  "text": "How much can good documentation save an AI agent in cost and time? Turns out, a lot.\n\nWe built a custom skill that teaches Claude how to parse PDFs more efficiently, then used real usage traces to find where it was wasting time and money (re-reading the same file over and over, taking unnecessary \"screenshots\" of pages, etc.)\n\nAfter a few rounds of fixes based on what we observed, the results vs. just having Claude read PDFs the default way:\n→ 37% lower cost per question\n→ Better answer quality across the board\n→ Fewer wasted steps\n\nThe big takeaway: look at what an agent actually leaves in its traces, and fix bottlenecks from there.\n\nFull case study 👉️ https://t.co/n3MNIlQvhm\nBenchmark code 👉️ https://t.co/qReW2KZwm5",
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