Agentic AI Engineering

Agentic AI projects and experiments.

Projects

• AskGeorge — an AI representative for recruiters and hiring managers. It answers questions in the first person as George Traskas, grounded strictly in his real background, and it assesses how well he fits a job description you paste in, gaps stated plainly. Hybrid retrieval over a Markdown knowledge base, streaming replies in Gradio, any LLM via OpenRouter, deployed on Modal. Live here — the build walkthrough is in askgeorge.ipynb.

• OpenAI Agents SDK — a single notebook covering the framework end to end: agents and the agent loop, tracing, streaming, function tools, memory, orchestration by code and by LLM (agents as tools and handoffs), structured outputs and guardrails. The running example is a small writing team — three agents draft a LinkedIn post in different voices, an editor picks the best one, and a tool saves it.

• CrewAI — multi-agent crews where agents and tasks are declared in YAML, each crew a self-contained uv project. debate: a debater argues both sides of a motion and a judge picks the winner on the merits alone. financial_researcher: a researcher gathers live information on a company via web search and an analyst turns it into a structured report. stock_picker: a manager agent delegates finding, researching and picking a trending company — hierarchical process, structured outputs, a custom notification tool, and memory across runs. engineering_team: four agents design, build, demo and test a working system from a paragraph of requirements, executing their own code inside Docker and consulting live documentation over MCP.

Setup

Uses uv:

uv sync

License

MIT — see LICENSE.