3. Data, Science & AI

Connects Supabase databases to Claude Desktop artifacts for read-only data queries and real-time data visualization.

Guides implementation of Google Gemini API for text-to-image generation, supporting high-quality image creation, editing, and composition using gemini-2.5-flash-image model.

Analyzes video content using Google's Gemini AI API, providing descriptions, transcriptions, timestamps, and video clipping for multiple formats and models.

Provides real-time sales metrics including daily/weekly/monthly revenue, top products, and order trends for business reporting and monitoring.

Explores MongoDB databases by viewing collections, schemas, and data, and running ad-hoc queries to investigate database state.

Automatically converts CSV, Excel, and JSON data into interactive dashboards with pattern detection, insights, and CURV design system-compliant visualizations.

Provides production-ready patterns for scalable multi-agent system orchestration, including phase-based workflows and severity batching.

Handles receipt scanning operations including OCR processing, parsing, and database integration for accurate expense categorization and troubleshooting.

Provides state-of-the-art patterns for optimizing multi-agent systems, reducing context overhead by 78%+ while maintaining analysis quality.

Guides implementation of Google Gemini API for image analysis, including captioning, classification, object detection, and visual question answering.

Parses bank statement PDFs using Docling, detects duplicate transactions, and validates data against bank summaries.

Manages data contracts via ODCS specification and datacontract CLI, enabling validation, testing, and quality rule enforcement for structured data.

Generates images and videos using node-based workflows for AI models like Stable Diffusion and Flux, supporting text-to-image and text-to-video tasks.

Optimizes AI context management using tiered fidelity and SOTA patterns to achieve 60-80% token reduction in multi-agent systems.

Conducts structured three-round debates among three LLMs on a topic to identify consensus points through iterative argumentation.

Aggregates parallel scores from Claude, GPT-4o, Gemini, and Grok to provide unbiased content idea evaluations and improve viral prediction accuracy.

Integrates Google's Gemini AI for content generation, providing rate limiting, error handling, and prompting guidelines for seamless application development.

Applies Firestore data modeling and schema design patterns, including collection management, relationship mapping, index optimization, and denormalization strategies for NoSQL efficiency.

Predicts viral potential of medical education content by analyzing document-based ideas and providing engagement metrics and actionable insights.

Creates data-driven YouTube scripts for cardiology channels in Hinglish using RAG, PubMed evidence, and research pipeline for topic selection and content optimization.

Provides standardized patterns for building robust data pipelines, ETL processes, and data validation in OptAIC, ensuring point-in-time correctness with Arrow schemas and Prefect orchestration.

Delivers personalized music recommendations and news using Spotify listening history, including situational listening suggestions and artist updates.

Interactive tool for generating personalized meal plans based on dietary goals and nutritional constraints.

Tracks weight progress, calculates TDEE, and provides adaptive calorie targets for fitness goal monitoring.