3. Data, Science & AI

Generates images via Gemini 3 Pro Image API for creative requests like 'create a hero image' or 'make an image showing'.

Designs and implements data pipelines for extracting, transforming, and loading data from diverse sources into target systems.

Calls Codex AI to generate code from natural language descriptions.

Analyzes datasets and generates actionable metadata recommendations to enhance data quality and interpretation.

Calls the Claude AI model to execute user-specified tasks using natural language processing capabilities.

Automates planning and execution of data migrations between diverse systems, databases, and formats to ensure data integrity and consistency.

Configures selective safety settings for Gemini AI agent, applying category-specific controls to ensure appropriate content handling.

Analyzes and optimizes database queries to enhance performance and efficiency through SQL tuning and execution plan analysis.

Generates AI-powered recipes using multi-model consensus (Mistral, Llama, Mixtral) and adapts to user dietary preferences for NutriProfile.

Minimal safety configuration for Gemini AI agents using default safety threshold.

Generates new AI features using xAI Grok for AI analysis, prompt creation, and AI-powered functionality.

Creates a new Ethereum data investigation page in notebooks repo for querying Xatu/ClickHouse data and visualizing findings with charts.

Suggests AI agent rules by analyzing session history and current code repository data.

Displays AI-detected patterns, anomalies, and trends from CYNIC's historical judgments for data-driven insights.

Kotlin framework for building AI agents, integrating LLMs, and implementing AI-powered workflows.

Provides OpenBB-based derivatives analysis for crypto perpetuals, options Greeks, IV surface, and volatility strategies including VRP and term structure.

Provides CLI access to Google's Gemini model for cross-validation, second opinions, and search-grounded responses with session management.

Generates and validates Cassandra 5.0 test data using Docker, including SSTable export and sstabledump comparison for dataset management.

Enables searching CYNIC's collective memory for past judgments, patterns, and decisions upon user query.

Provides programmatic querying for SPECLAN specifications, allowing users to list features, find requirements, and filter by status or parent relationships.

Extracts patterns, insights, and knowledge from text content, storing for future analysis and retrieval.

Generates interactive charts and graphs for data representation within Flutter applications.

Provides feedback to correct CYNIC's judgments and enhance future evaluation accuracy through iterative learning.

Converts Flow SDK prompt formats to Output SDK .prompt files with YAML frontmatter for seamless migration.