Willis

In my profession, due diligence is arguably the most critical step in meeting deadlines and budgets. This phase requires digging through ambiguous, inconsistent, or poorly specified ordinances to find the one sentence that—if missed—could cost tens of thousands of dollars in redesign. In addition, it’s not uncommon to have more than 5,000 pages of technical manuals defining the specifications that apply to a single project. Based on the current capabilities of AI, this felt like a natural workflow to improve. Context-engineering techniques such as RAG can provide extremely powerful semantic search when used properly. Package that into a tool and connect it to modern frontier AI models, and you end up with a very capable document-intelligence assistant.