Cut LLM prompt tokens on structured data — losslessly

<p>Every token you send to an LLM costs money and eats into your context window. If you're stuffing structured data - JSON arrays, database records, API responses - into your

<h1> Fix Your Prompt Structure Before You Touch Your Infrastructure </h1> <p>Most engineering teams treat LLM inference costs as an infrastructure problem. They evaluate model

<p>If you use Cursor, Claude Desktop, or Cline daily,<br /> you have probably watched your rate limits evaporate<br /> because of a single runtime crash.</p> <div class="highlight

<div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>┌─────────────────────────────────────────────────────────────────────────────┐ │ THE "INFINITE

<p>Most "multi-agent" demos fall apart the moment you put them in front of real data. One agent's hallucination becomes the next agent's input, costs balloon because every step