AI Agents

AI agent are the core automation logic within Narrativa® Navigator. These AI agent define how raw data is transformed into meaningful, structured content. Each AI agent acts like a programmable assistant, blending formulas, formatting, business logic, and natural language processing to guide content creation with precision and flexibility.

Core capabilities of AI agents

• Blend data & logic seamlessly: AI agents allow users to apply mathematical operations (e.g., sum, average), conditional logic (e.g., IF/THEN), and string formatting—all within a spreadsheet-style interface.
• Prompt-based generative writing: use natural language prompts enhanced with dynamic data references (via #column_name) to generate new content directly within your dataset.
• Layer contextual intelligence: combine structured data with narrative prompts to guide AI outputs, improving coherence, specificity, and multilingual accuracy.

Generates fresh text based on prompts and structured data. Ideal for full sentence or paragraph generation, this function enables smart, adaptable writing driven by deep learning models.

• Use precise prompts to control tone, structure, and length
• Embed live data fields to personalize and contextualize outputs
• Supports multilingual generation based on input data or prompts

Named Entity Recognition (NER): extracts specific data types (like names, locations, dates) from content. Useful for categorizing or anonymizing large volumes of text automatically.

Sentence rewriter: paraphrases text to create variations in tone, structure, or phrasing—useful for A/B testing, personalization, or reducing repetition.

Text summarizer: condenses long-form content into digestible summaries while preserving key meaning and context.

Text Classifier: sorts content into predefined categories using machine learning models. Great for tagging or automating editorial workflows.

Sentiment Analysis: evaluates the emotional tone (positive, negative, neutral) of text, which is helpful for brand monitoring, customer feedback, or editorial tuning.

Automatic & Advanced Translation: translates content into different languages using AI. The “Advanced” variant allows finer control via custom prompts, ideal for localization.

Auto Complete Text: finishes sentences or sections based on existing input, speeding up content generation in collaborative workflows.

Speech-to-Text: transcribes audio files (from hosted URLs) into written content—useful for interviews, podcasts, or meeting notes.

Semantic Search: enables concept-based search across large datasets by understanding the meaning behind queries rather than exact word matches.

• Write Specific Prompts: Clear instructions lead to better results. Include desired tone, format, and length.
• Use Data-Driven Prompts: Combine static text with dynamic fields for tailored, context-rich content.
• Review Outputs Carefully: While AI excels in speed and variation, final content should be reviewed for accuracy and alignment with brand or regulatory standards.

Modular project system

Projects in Navigator act as blueprints for content creation. Users can build content using Content Blocks, enriched with Segments (text variations) and conditional Scenarios.

• Mix and match content blocks for structure and logic
• Use AI to auto-generate or paraphrase segment content
• Preview and iterate content within each project workspace

CMS & content delivery

The built-in CMS serves as a publishing hub for automated narratives. It assembles final content, enables manual edits, and integrates via XML or JSON APIs into external platforms or websites.

• Auto-publish or manually review generated outputs
• Track outputs by data row and configuration
• Feed URLs and endpoints ready for integration

Visual dashboard & insights

Navigator provides real-time visibility into productivity metrics, usage trends, and narrative volumes.

• Track narratives generated by date, project, or segment
• Export data for reporting and analytics
• Evaluate performance of agents and workflows