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Talking Drupal #565 - That Geerling Guy

Talking Drupal

Release Date: 08/13/2026

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More Episodes

Today we are talking about Open Source sustainability, becoming your own content creation machine, and how drupal influenced some of that with guest Jeff Geerling. We’ll also cover AI Metering as our module of the week.

For show notes visit:
https://www.talkingDrupal.com/565

Topics

  • Jeff’s Timekeeping Icebreaker
  • Jeff’s Drupal Origin Story
  • From Drupal to Hardware Tinkering
  • Staying Motivated on YouTube
  • What Conferences Are Really About
  • DrupalCon Memories and Community
  • Why Jeff Moved to Hugo
  • PSA Tornado Warning Detour
  • Keeping Up with Drupal CMS
  • PHP Perception Shift
  • Fast Drupal Setup
  • COVID Streaming Boom
  • Picking Video Projects
  • Decommissioning Builds
  • YouTube Algorithm Risk
  • Vintage Time Server
  • Creator Starter Tips
  • Supporting Maintainers
  • Books and Crohns
  • Local Control Trends
  • AI Workflow Boundaries
  • Timing Obsession
  • Kind Drupal Culture

Guests

Jeff Geerling - jeffgeerling.com geerlingguy

Hosts

Nic Laflin - nLighteneddevelopment.com nicxvan
Mike Anello - drupaleasy.com ultimike
JD Flynn - dorficus

MOTW

Correspondent

Mike Anello - drupaleasy.com ultimike

  • Brief description:
    • AI Metering module - helps keep track of your users' AI token usage on the site. Includes cost estimation, token limits, and local LLM fallback options.
  • Module name/project name:
  • Brief history
    • How old: created in June 1 2026 by Jérôme Tchania (codeitwisely)
    • Versions available: 1.0.1
  • Maintainership
    • Actively maintained - yes
    • Co-maintained by Carlos Ospina (camoa)
    • Security coverage - yes
    • Test coverage - yes
    • Documentation - yes
    • Number of open issues: 9 open issues, 4 of which are bugs against the current branch
  • Usage stats:
    • Sites: 78
  • Module features and usage
    • Obtains token costs for all modules from LiteLLM
    • Can be configured to send email when the token limit is being approached.
    • Per user and per role reports.
    • LLM fallback to Ollama