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Player 1 · Independent builder

JUST-S-ROD

Sergio Rodriguez

I'm an independent builder and systems thinker working on practical AI: local model integration, open-source automation, and multi-agent systems.

  • Local models
  • Multi-agent
  • Automation
  • Open source
MoEA downloads
207
Puzzle books
4 published
Renumberly
Coming soon

01 Featured work

OpenWebUI functionLive

MoEA

Runs several local LLMs (llama3, mistral, gemma) as a panel of experts. Each answers the same prompt, they refine over one or more rounds, and one model merges the result into a single answer. Works offline with local models.

Google Docs add-onComing soon

Renumberly

A free Google Docs add-on that numbers your headings. Built and run by a small team of AI bots, with me as the human owner.

KDP publishingPublished

Puzzle books by J. S. Rod

Four large-print word search books published on Amazon KDP under the pen name J. S. Rod: Easy Large Print Garden Word Search, Murder at the Juniper Inn, The Krampus Files, and Easy Large Print Quilting Word Search. Easy Large Print Fly Fishing Word Search, Vol 3 is in progress.

  • Easy Large Print Garden Word Search cover
    Garden · Vol 1
  • Easy Large Print Quilting Word Search cover
    Quilting · Vol 2
  • The Krampus Files cover
    The Krampus Files
  • Murder at the Juniper Inn cover
    Murder at the Juniper Inn
  • Easy Large Print Fly Fishing Word Search cover
    Fly Fishing · Vol 3 — Coming soon

02 Now building

  1. Active
    Moving my work to Muse. My assistant is now Muse (Chad). Grok Bot hit its weekly usage limit at 99% and resets Tue, Nov 10, 2026.
  2. Active
    KDP puzzle book series. More word search titles under the J. S. Rod name, including seasonal books.
  3. Active
    This site. Hand-coded HTML and CSS, hosted on GitHub Pages.

03 Achievements unlocked

04 About

I'm Sergio Rodriguez, and I build under the name Just-S-Rod. I like tools that run on your own machine and do one job well.

Most of my work sits where local models, automation, and multi-agent setups meet: getting several models or bots to split up a task and hand back one useful result.