AI Case Study Tailor

What it does

Matches a job description against my case studies and projects, then generates tailored descriptions and talking points for each relevant piece of work.

AI stack

• Full-context loading of all portfolio projects (no RAG — the dataset is small enough)
• LLM-powered relevance selection based on job description signals
• Tailored project descriptions grounded in real work content
• Talking points structured for interview and outreach contexts

Why it matters

Shows when full-context LLM reasoning outperforms RAG. For small, structured datasets, giving the model access to the full project set can produce more accurate project selection than vector similarity alone.