Research & Literary Agent

The Research & Literary Agent is an autonomous workflow that runs on this portfolio to keep the State of AI Testing 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.

Purpose

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.

What it does

Curates: 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.
Publishes: 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).
Runs on a schedule: The workflow runs on the 1st of every month. Each run adds the previous calendar month’s section (e.g. a run on 1 April adds the March section).

Why it’s here

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.

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