Introduction
An AI app connects a task with data, models, tools, and operating controls. The model contributes prediction or generation. Authentication, current information, memory, validation, payments, and recovery still need to be designed around it. We will build that architecture by following one request at a time.
The route covers APIs, clients and servers, context construction, structured output, retrieval, routing, caching, memory, observability, and deployment. The project is an interview-intelligence system using a résumé, story bank, company material, and job descriptions. Its purpose is truthful preparation and practice; inventing experience or submitting applications outside an authorized workflow would undermine that purpose.
Use Modules 0, 13, 14, 16, and 19 as reference points. Begin with requests and context, then retrieval and responses, then cost, state, and operations. We will explain components through the problems they solve. You can understand the architecture without committing to a particular software framework.