Educational AI Platform for Journalism
Customized open-source solution allowing journalism students to learn about AI: model comparison, custom agent creation, local hosting and comprehensive analytics.

Solution type
Open-source platform
Domain
Training & Education
Target audience
Journalism students
Open-source fork & customization
Based on a recognized open-source tool, fully customized and enriched with plugins and advanced features to meet the specific needs of teaching AI in journalism.
Key features
Multi-Model Comparison
- Simultaneous access to multiple AI models (GPT-4, Claude, Mistral, Llama, etc.)
- Side-by-side response comparison interface
- Analysis of performance, style and accuracy differences
- Pedagogical evaluation of each model's strengths/weaknesses
Custom Agent Creation
- No-code interface to create specialized AI agents
- Business agents: fact-checking, rewriting, source analysis, etc.
- Custom prompts, parameters and workflow configuration
- Agent sharing and reuse between students
Local Hosting & Sovereignty
- Locally hosted open-source models (Llama, Mistral, etc.)
- Guaranteed data sovereignty and confidentiality
- No sensitive data leakage to third parties
- GDPR compliance and full infrastructure control
Advanced Analytics Dashboard
- Token consumption tracking per student and model
- Complete conversation and interaction history
- Usage statistics: time spent, queries, preferences
- Pedagogical impact measurement and student progress
Developed plugins & extensions
User interface
Simplified and intuitive interface adapted for students, with integrated guides and interactive tutorials for easy onboarding.
Multi-user management
Role system (students, teachers, administrators) with granular permissions and collaborative workspaces.
Journalism templates
Library of specialized prompts for journalism: interviews, fact-checking, synthesis, editorial angle, etc.
Export & integration
Conversation export in multiple formats (PDF, Markdown, JSON) and integration with existing educational tools.
Pedagogical objectives
Demystify AI
Enable students to concretely understand how different AI models work and their use cases.
Critical thinking
Develop the ability to evaluate, compare and critique AI outputs, essential for quality journalism.
Ethics & sovereignty
Raise awareness about privacy, data ownership and digital sovereignty issues in journalism.
Practical autonomy
Train in effective and responsible use of AI as an assistance tool in their future careers.
Measurable benefits
100%
Student data sovereignty
25+
Simultaneously comparable AI models
-70%
Costs vs proprietary solutions
24/7
Availability for self-paced learning
∞
Custom agents creatable
GDPR
Guaranteed compliance
Train your students in AI
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