📅 2025-06-10 — Session: Developed AI-Driven Editorial Strategies
🕒 18:15–19:50
🏷️ Labels: Ai Curation, Editorial Workflow, News Strategy, Content Creation, Economic Analysis
📂 Project: Media
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to evaluate and develop strategies for an AI-driven editorial process, focusing on news data ingestion, editorial workflows, and content creation.
Key Activities
- Evaluated the current news data ingestion pipeline, identifying strengths and areas for improvement.
- Outlined strategies for building a sustainable AI-driven news outlet, addressing challenges like copyright and editorial integrity.
- Brainstormed potential value propositions for a news outlet, focusing on curation and community engagement.
- Designed an AI-augmented editorial pipeline, emphasizing human oversight and SOPs.
- Analyzed the ‘Article Stack’ model for editorial operations, suggesting workflow improvements.
- Developed a dashboard for organizing articles into editorial agendas, focusing on topic clustering and summarization.
- Structured seed cards for article drafting, particularly on economic topics like Argentina’s middle class and inflation.
- Drafted articles and analyzed editorial drafts for quality and coherence.
Achievements
- Developed comprehensive strategies for integrating AI into editorial processes.
- Created structured seed cards and draft articles on key economic topics.
Pending Tasks
- Implement the proposed editorial strategies and workflows.
- Finalize and publish drafted articles on Argentina’s economic conditions and Bonte 2030.
Outcome
The session resulted in a clear plan for enhancing editorial processes through AI, with a focus on maintaining quality and integrity.