Clarion teaches the process — how professionals actually think about markets and AI — not tips and not signals. Two tracks: one for individuals learning to invest with real rigor, one for the business leaders learning to put AI to work.
A full, no-finance-background course on building and running an AI-native investment process on your own computer — regime reading, SEC research, thesis writing, position management, and the automations that keep it running.
From a chat window to a system: install an AI-native investment layer, give it persistent memory, read the market regime, generate and research ideas, write a thesis, size and manage the position, and schedule the recurring work. No finance background required.
Start the course →The small set of markdown files — USER.md, MEMORY.md, AGENTS.md — that turn an AI chat window into a system that remembers your work across every conversation.
Read the guide →Practical education on adopting AI the way serious teams adopted data, analytics, and cloud before it — grounded in real workflows, not hype. The same operating patterns, applied outside of investing.
A Claude-focused track for professionals who want to use AI to accelerate research, analysis, and workflow design while keeping human judgment in the loop.
Open the course →Why durable, file-based memory — not longer chats — is what turns an assistant into a system your team can rely on. The same pattern investors use, generalized to any knowledge workflow.
See the pattern →