
Helsinki, 14 Oct 2025 Rascal AI has released a new version of its AI-based content production system. Content Intelligence v2.1 makes marketing smarter, more consistent and effective, in a way that significantly improves the quality and consistency of content production for companies. In the new version, Rascal's system is divided into three layers of intelligence: strategy, planning and production. These layers talk to each other, analyze the results and learn about each month automatically. In practice, this means that customer communication is constantly evolving without manual control.
The most significant benefits for customers
• Higher content quality: Publications are becoming more consistent, engaging and more conversational with the target audience.
• A clearer strategic line: Artificial intelligence understands the company's goals and the brand more deeply than before.
• Continuous learning: The system automatically analyzes the results and develops content based on them on a monthly basis.
• Efficiency and time saving: AI handles routines, allowing the team to focus on customers and business growth.
“Content Intelligence v2.1 Doing what many marketing teams have long aspired to do, it brings together strategic thinking, content design and automated production. Our customers will have access to an AI team that learns from each month and continuously improves results”
Technical background: three layers of intelligence
Rascal AI's new architecture is based on a three smart layer model — Strategisk Layers, Content Planning Layer and Production Layer — which form an interconnected and self-directed entity.
STRATÉGIA
The first layer determines the entire direction of content production.
This is where a group of agents called Council of Fourin which each AI agent looks at the company from a different perspective:

Based on four views Council Consensus Agent combine the results into a single strategy document. Develop and update the strategy every month Monthly Strategy Agentthat takes advantage of the previous month Performance Evaluation, a qualitative model that evaluates the strategy's implementation, successes and development points.
CONTENT PLANNING LAYER
The second layer is responsible for designing and brainstorming the content. At this stage, it is determined what will be published, where and to whom.

At this stage, it is born content planthat defines ideas, target groups, CTAs, and keywords — all linked back to the strategy.
PRODUCTION LAYER
The third layer forms an automated production line that turns ideas into ready releases, visuals and videos.

Self-directed cycle
The system operates in a continuous automatic cycle:
1. Performance Evaluator analyze the results of the past moon
2. The Council Develop a new strategy
3. Planner & Idea Generator produce a content plan
4. Production Pipeline produce publications, images and videos
5. Results are returned to the Performance Evaluator
This allows Rascal AI's Content Intelligence v2.1 to operate as an independently learning marketing team that evolves from month to month with no manual guidance.


