Research Notes
Observations, patterns, and lessons learned from building a multi-LLM research platform. Not stock analysis — meta-analysis of the analysis process itself.
Featured
The LLM-isms in "LLM-isms"
We wrote a post warning about LLM rhetorical patterns. Then we went back and graded ourselves. Final score: 2 guilty, 3 acceptable, 2 intentional.
Top Posts(popularity tracking coming soon)
All Posts
LLM-isms: Patterns That Should Raise Your Skepticism
When an LLM says 'This isn't X — it's Y,' what does that actually tell you? A guide to recognizing rhetorical patterns that may indicate overconfidence or shallow reasoning.
Why We Use Multiple LLMs (And You Should Too)
The case for never trusting a single model's output on anything important. Real examples of where Claude, GPT, and Gemini gave completely different answers.
A Taxonomy of LLM Hallucinations in Financial Analysis
Not all hallucinations are created equal. Some are dangerous, some are obvious, and some are almost impossible to catch without domain expertise.
More Posts Coming
We're documenting our research process as we go. Topics in the queue: prompt engineering lessons, cross-LLM disagreement patterns, and "things that surprised us."