Smart AI integration comes only with knowledge

209 wordsFiled in: AI, content workflows

Note: I'm getting more active by writing shorter form, more informal updates like this one.

Lullabot's thoughts on 'How to build your AI integration strategy right'.

Like many, I've been exploring how AI can assist my work and that of my colleagues. The theme is consistent: it’s about giving AI the right context so it helps us do our jobs better — not replace us.

I appreciated this piece from Lullabot: Smart AI integration: moving beyond chatbots and quick fixes

There’s a difference between AI that’s thoughtfully integrated and AI that’s just tacked on. Too often, we encounter AI implementations that feel like modern-day Clippy, popping up to “help” us in ways that miss the mark. Most AI implementations feel like afterthoughts...because they are.

This is good mental fuel (and a persuasive piece to share) and I’m looking forward to expanding on a small prototype we built in Drupal (D10.4, ECA 2, and the contrib AI module). With a bit of glue code to expose a PDF’s extracted text as a token and a new “Send to AI” workflow state, editors can kick off assistance when it’s useful—not by default.

In the example workflow, the system:

  • fetches the text of an uploaded PDF
  • sends it to ChatGPT
  • returns a short summary
  • proposes a title

But that's just the technical tooling, we still need to make sure the AI has a well document IA to leverage.