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JevMade field notes / Input-size study

Give Jev a readable page, not a pile of website code

Aldo Morese compares web pages in raw HTML and cleaned text, showing why smaller input can help a Jev workflow without proving that its page judgments are correct.

Original by Aldo MoreseExtraction

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Our summary

A web page contains more than the words people read: scripts, styling and long links can take up most of its size. Aldo Morese compares ways to clean pages before sending them to Jev, which judges supplied text rather than fetching websites itself.

The study requested 25 pages. Two timed out and three returned access blocks, leaving 20 content pages for size comparisons. Converting website code into readable Markdown greatly reduced the estimated input size. Removing link addresses reduced it further, though links should stay when the question depends on them.

Small does not mean useful: some pages return an almost empty shell until browser code fills it. Check for missing content before asking Jev to judge it. The study measured input size, not decision accuracy, and used another model's text counter rather than Jev's own.

Key takeaways

  1. Remove page decoration and unnecessary link addresses before asking a model about the page's meaning.
  2. Check for blocked pages and empty shells; fetching or rendering usable content is a separate step.
  3. Leave room for questions as well as page text. A character cap does not guarantee a token limit.

Morese reports that website code fit the stated input allowance for four of twenty content pages, while both cleaned formats fit all twenty. These are estimates using another model's text counter, not Jev's own or a test of correct decisions. The 100,000-character cap cannot guarantee an input limit. Fetching fees are separate from model fees.

QuanticData · Original published

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