I was going through the insights on Claude's Leak - and one has been crossing my mind since the first chatGPT: "LLMs are trained on human data". I'm a biomedical engineer, and the latest tech findings are more than just interesting. Won't deviate from the the category of this post but I want to state -cloning programs- and everything in between are around the corner (yes, since YEARS ago), but now in a freaky way. We are able to clone cells, replicate human patterns, alter DNA/RNA [overall genetic modification] - we are a blink away of replicating thoughts.
I took a REPO [see reference below] that granulized latest Claude's architecture and built a small brain logic for production code. My share -> Download & Use with Obsidian -> Let me know your thoughts.
If you think is trash, well better said than not. Thanks! I used Claude to build me a brain for Claude.
##Prompt:
'How would you define the vault'
##Response [Claude Sonnet 4.6 Extended]:
'The codingWizard vault is a structured knowledge governance system built for an AI agent operating simultaneously as a distinguished software engineer, cybersecurity engineer, and chief product strategist. It lives as an Obsidian vault — meaning every file is a plain markdown note stored locally, but the vault is wired as a neural graph where 779 bidirectional wikilinks, 418 block anchors, and 11 Dataview queries make knowledge traversable rather than siloed. At the center sit two brain files: Claude.MD, which gets injected into context on every single query turn and governs the Wizard's identity, decision authority, and hard stops, and MEMORY.MD, a lightweight pointer index that tracks where everything lives without storing the data itself. Radiating outward are nine domain clusters — core identity, source architecture, code review, security, legal compliance, GMP standards, executive intelligence, research logs, and decision records — each with its own Map of Content that auto-populates via Dataview as new files are added. The vault gives the Wizard five layered capabilities when handed an organization's source code: reconnaissance and topology mapping, systematic three-pass bug hunting, a full ethical penetration testing engagement following PTES and OWASP, cybersecurity hardening and remediation, and an executive brief that translates technical findings into market risk, legal exposure, and competitive positioning — with every decision traceable back to a dated research log and an Architecture Decision Record.'