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© Tajjuddin Malnas · built with Next.js, three.js and Remotion

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Case study  /  Live

SIEVE

Search your LLM can afford to use

The real siteCaptured from production
How it worksAnimated in code

Watch  /  Product demo · 1:48

Live

sievee-jev.vercel.app

Tags

Claude Agent SDKSearchRAG tooling

System design

SIEVE pipeline in the architecture viewer

The problem

Search tools for agents return ten links or a paragraph of generated summary. Both fill the context window, and neither tells the agent which sentence to trust.

What I built

  • A four-stage investigation pipeline: Scout, Read and Filter, Cross-examine, Judge and Quote.
  • Answers in several shapes: numbers, yes/no, timelines, comparisons, code.
  • Quotes are copied verbatim from the source. No generated text sits between the page and the caller.
  • About 8 seconds median response time.

How it works

  1. 01ScoutFind candidate pages for the question.
  2. 02Read and filterOpen each page and drop the unreliable ones.
  3. 03Cross-examineCheck whether independent sources agree.
  4. 04Judge and quoteReturn one exact quote with evidence, or nothing.
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