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<!DOCTYPE html>
<html lang="en">
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<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Research & Literary Agent – Ela MCB Portfolio</title>
<meta name="description" content="The Research & Literary Agent is an autonomous workflow that curates AI testing discoveries and keeps the State of AI Testing document updated monthly.">
<link rel="icon" type="image/svg+xml" href="../images/favicon.svg">
<link rel="canonical" href="https://elamcb.github.io/docs/RESEARCH_LITERARY_AGENT_GUIDE.html">
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<h1>Research & Literary Agent</h1>
<p>The Research & Literary Agent is an autonomous workflow that runs on this portfolio to keep the <a href="STATE_OF_AI_TESTING.html">State of AI Testing</a> document current. It curates LLM and Gen AI research relevant to testing and quality engineering and publishes a new section each month—so the living doc reflects recent tools, papers, and trends without manual updates.</p>
<div class="card">
<h2>Purpose</h2>
<p>The agent exists to bridge research and publication: it takes a structured feed of discoveries (new models, tools, repos, and papers), turns it into readable monthly digests, and appends them to the State of AI Testing page. Visitors get an up-to-date view of the AI testing landscape; the portfolio demonstrates automated, agent-driven content maintenance.</p>
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<div class="card">
<h2>What it does</h2>
<ul>
<li><strong>Curates:</strong> Each run uses the latest discovery feed (LLM/Gen AI items with title, description, and link) and selects a set of items for the month.</li>
<li><strong>Publishes:</strong> It inserts a new month section into the State of AI Testing doc, with items formatted and linked, so the page grows chronologically (newest first).</li>
<li><strong>Runs on a schedule:</strong> The workflow runs on the <strong>1st of every month</strong>. Each run adds the <em>previous</em> calendar month’s section (e.g. a run on 1 April adds the March section).</li>
</ul>
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<div class="card">
<h2>Why it’s here</h2>
<p>This portfolio uses autonomous agents to maintain quality and content—from link health and security checks to CI fixes. The Research & Literary Agent extends that idea to research and writing: it shows how a small, scheduled workflow can keep a long-lived “state of the field” doc fresh and useful without manual publishing.</p>
</div>
<p style="margin-top: 2rem;"><a href="../index.html">← Back to Portfolio</a> · <a href="STATE_OF_AI_TESTING.html">State of AI Testing</a></p>
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