The AI Model Training & Serving Module Specification defines an open, modular framework for building, training, deploying, and managing artificial intelligence models throughout their complete lifecycle. The specification provides implementation guidance for advanced AI capabilities including NLP entity extraction, emotion classification, archetype mapping, pattern recognition, model evaluation, inference serving, and explainable AI operations. It establishes a structured foundation for organizations and developers to create transparent AI systems that support custom model development, production deployment, monitoring, and continuous improvement.
Designed for privacy, interoperability, and responsible AI development, this AGPL-3.0+ licensed specification includes operational workflows for anonymized data processing, continuous retraining, model drift detection, risk pattern identification, security controls, and human-in-the-loop governance. The module enables communities and organizations to build adaptable AI infrastructure while maintaining control over their data, models, and deployment environments through open standards and reproducible processes.
This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution under Section 7. A Specification Branding License is available for attribution-free deployments, with fees based on usage, scope, and deployment size.
Specification Repository:
- Oneiros – AI platform interpreting recurring dreams about feminine figures, tracking emotional growth, attachment patterns, and relational readiness. AGPLv3.
AI Model Training and Serving Module Specification Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | $30,000 | Perpetual License |
| Medium | 21- 1000 | $70,000 | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |
