AI Agents, Systems, and Automation

I develop AI agent systems and explore their application in real-world workflows. My focus is on building tools and applications that solve practical problems — from automated research pipelines to multi-agent development frameworks.

Areas of Work

AI Agents

Specialized agents for research, analysis, content creation, code generation, and data processing

Multi-Agent Systems

Coordinated agent workflows with handoffs, quality checks, and human oversight at critical checkpoints

Automation Pipelines

End-to-end automated pipelines — from data collection through processing to output generation, running on schedule or on demand

Tool and API Integration

Connecting agents to external systems — GitHub, Jira, databases, APIs, and file systems

Open to select collaborations on small, well-defined projects.

Independent Projects

Systems and applications built with the AI Development Framework — each one exploring a different aspect of agent-based development.

AI Development Framework

Active

Open-source framework orchestrating multiple AI agents for automated software development. Ticket-based workflows with Implementation, Test, and Review agents collaborating with human oversight.

BashClaude CodeMulti-AgentOpen Source

CardCroc

Active

Cross-platform flashcard app for iOS and Android with Spaced Repetition (SM-2), Firebase Auth, multilingual support, and a vocabulary pipeline producing 20 learning decks with ~10,000 cards.

FlutterDartFirebaseMobile

TradingOctopus

Active

AI-driven financial data platform with FastAPI, TimescaleDB for time-series data, multi-source data mining (Yahoo Finance, Finnhub), and automated market data collection.

PythonFastAPITimescaleDBDocker

ResearchRaven

Active

AI research-to-content pipeline in three stages: Research, Knowledge Organization, and Content Generation. Grounded in communication theory with parallel multi-agent research.

PythonBashMCPAI Pipeline

TicketFalcon

Early Stage

Chat-based AI assistant for writing structured tickets. Connects to knowledge sources (Confluence, Git) and uses LLMs to formulate well-structured tickets directly in Jira.

Desktop AppAIJiraChat

fdrechsler.de

Active

This website — built entirely using the AI Development Framework. Next.js, Docker, CI/CD, comprehensive analytics, and full German legal compliance.

Next.jsTypeScriptDockerCI/CD