3. Data, Science & AI

AI system interpreting user intent through cognitive science principles and probabilistic intent mapping for accurate understanding.

AI-driven business analytics tool for managing founder portfolios, tracking health metrics, and secure credential storage with recommendations.

Provides a guide for querying and inspecting BigQuery tables using the bq CLI, emphasizing data sensitivity and INFORMATION_SCHEMA usage in Monzo's projects.

Analyzes agent reasoning loops, step functions, and termination conditions in frameworks like ReAct to understand decision-making logic and execution flow.

Provides a systematic workflow for training and deploying neural networks using Flow Nexus with distributed E2B sandboxes, covering architecture selection and distributed training.

Expertly explains and reviews cryptographic constraint systems for zero-knowledge proofs, including STARKs and polynomial commitments.

Guides the design of business KPI dashboards with metric selection, visualization best practices, and real-time monitoring patterns.

Creates and edits Excel spreadsheets with formulas, formatting, and financial modeling standards for data analysis and financial tasks.

Analyzes ambiguous user requests using probabilistic intent mapping and cognitive science to transform vague inputs into clear, actionable goals.

Creates evaluation frameworks for AI agent systems to test performance, validate context engineering, and measure improvements.

Comprehensive toolkit for building AI data processing pipelines including ETL workflows, vector embeddings, and knowledge graphs via CLI or API.

Orchestrates three expert LLMs (Extractor, Critic, Architect) to generate robust, traceable, and verified text syntheses with semantic shift control and full audit trail.

Builds AI-native applications with RAG pipelines, vector databases, agentic workflows, and LLM integration, emphasizing prompt engineering and cost optimization.

Enables continuous learning for automatic extraction of insights from data streams, enhancing AI-driven decision-making.

Generates images and videos using multimodal AI models (Wan2.6, Nano Banana) for text-to-image, image-to-image, text-to-video, and video editing.

Creates interactive data visualizations including charts, graphs, and geographic maps using the D3.js library.

Intelligent web scraper for extracting content from websites, supporting multiple output formats and robust error handling.

Generates emergency medical information cards by extracting key details (allergies, medications, etc.) and outputting in multiple formats for quick access during emergencies.

AI compares rendered HTML against original PDF for visual accuracy with explainable reasoning, blocking pipelines below 85% score.

Transforms, manipulates, and analyzes JSON data structures using advanced operations for data integration and processing.

Creates visual database schema diagrams (ERDs) and documentation from existing database schemas for improved data understanding and analysis.

Integrates Vercel AI SDK for LLMs, chatbots, generative UI, and agentic workflows in application development.

Interactive tool for building optimized SQL and NoSQL queries, streamlining data retrieval and database operations.

Automates image dataset deduplication by identifying near-duplicates using AI-driven similarity computation in FiftyOne.