3. Data, Science & AI

Exports and imports personal finance data (expenses, budgets) between CSV/JSON formats with data transformation, validation, and error handling for backup and analysis.

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

Designs and implements memory architectures for AI agents to persist state, maintain entity consistency, and reason over structured knowledge across sessions.

Builds AI agents with OpenAI Agents SDK using async patterns, multi-agent orchestration, and tool integration for tutoring and specialist workflows.

Designs multi-agent architectures to decompose complex tasks into specialized subtasks, enhancing solution quality and scalability through coordinated agent systems.

Optimizes context handling for AI agents to overcome limitations, reduce costs, and improve performance in long-running systems.

Guides creation of MCP servers for LLMs to interact with external services via tool design, authentication, and Docker deployment.

Provides foundational knowledge on context mechanics in agent systems for effective architecture design, debugging, and optimization.

Builds frameworks to evaluate AI agent performance, validate context engineering, and measure improvements over time.

Builds production RAG systems with semantic chunking, incremental indexing, and context-aware retrieval using vector search.

Generates Packmol input files for molecular packing, solvation, and building initial configurations in molecular dynamics simulations.

Diagnoses and mitigates context degradation in AI agent systems to maintain performance during large context handling or failures.

Designs effective tools for AI agents, covering creation, debugging, and optimization of agent toolsets to enhance functionality and reliability.

Enables real-time streaming UI patterns for AI chat applications, including response lifecycle handling and progress indicators.

Patterns for invoking and coordinating Automatasaurus agents to delegate complex tasks to specialist AI agents.

Optimizes and tests LLM prompts for research agents, improving response quality and fixing JSON parsing issues.

Generates LangGraph nodes for research agent workflows, enabling node addition, graph function creation, and workflow extension.

Starts the development server for LangGraph, facilitating the creation and testing of research agents in LLM-based workflows.

Tunes fact-checking in research agents by adjusting claim extraction, verification strictness, and reducing API costs.

Tools for running, testing, and debugging LangGraph research agents, including server management and graph execution troubleshooting.

Delegates independent development tasks to subagents within a session, enabling efficient execution of approved plans through AI-driven task distribution.

Installs and configures Ralph, a Codex port, enabling AI-assisted code generation within a target project.

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

Extracts and processes YouTube video transcripts for subtitle generation, content summarization, and video data analysis using yt-dlp.