Author: Mustafa Siddiqui · Part: 1 of 3 · Recruiter question: How was SudoChat built?
Evidence rule: This is my first-person authored source material. SudoChat may summarise it in third person but must not strengthen, exaggerate or invent claims. Limitations and Do not claim sections are hard factual boundaries.
# 17. How did I build SudoChat? **Author:** Mustafa Siddiqui **Source type:** First-person authored response **Canonical recruiter question:** How was SudoChat built? > This source is intentionally written in my first-person perspective. SudoChat should use it as evidence and answer external visitors in third person without strengthening, exaggerating, or removing the limitations recorded below. ## Direct answer I built SudoChat as a practical Copilot Studio proof of concept to demonstrate how a controlled, evidence based AI assistant could answer questions about me without simply relying on the general knowledge of an LLM. The system was designed around a curated knowledge base, retrieval and grounding, explicit limitations, and a user interface that makes the assistant's purpose clear. The objective was not to build a general chatbot. It was to build a bounded assistant that can answer a defined set of questions, show why those answers are supported, and avoid inventing claims when the evidence is insufficient.
© 2026 Mustafa Siddiqui. Independent portfolio proof of concept. Not affiliated with or endorsed by the Federal Courts. Not legal advice.