NEWS WITH CONTEXT
In developmentAI content automation
Football Stories
AI helps gather, write, and review the story.
A football editorial pipeline with distinct tasks for news collection, topic selection, research, writing, review, and translation.
HOW IT COMES TOGETHER
The core workflow- 01
RSS and topics
- 02
Research and writing
- 03
Review and translation
- 04
Editing and publication
01 / THE QUESTION
The problem we set out to solve.
Covering a steady stream of football news requires more than collecting headlines. Research, fact checking, structure, translation, and publication all demand regular editorial work.
02 / OUR APPROACH
Our approach.
RSS ingestion, topic selection, research, writing, fact review, translation, and search optimization have separate roles. Each task passes its results to the next stage of an AI-assisted editorial workflow.
- 01
Topic discovery and research
RSS sources are collected, topics are selected, and relevant information is researched.
- 02
Role-based writing
Research, drafting, and review are separate steps so articles can be produced and checked progressively.
- 03
Translation and publishing metadata
Multilingual content and information needed for search discovery are prepared within the workflow.
- 04
Model connections and fallbacks
OpenAI and Gemini are connected through model calls and fallback handling.
03 / INTELLIGENCE AT WORK
Where AI does the work.
AI tasks take roles such as researcher, writer, reviewer, and translator to develop an article together. Automated fact review does not remove every error; final editorial review is still needed.
04 / WHERE WE ARE
Where the project stands.
The news website and role-based AI tasks are being developed together. We are improving the editorial checks between source material and generated articles while automating collection and translation.
