S02-R01 — sroberts LLM-SATs-FTW¶
Description¶
Open-source implementation of structured analytic techniques via LLMs using Streamlit and LangChain.
Summary¶
| Field | Value |
|---|---|
| Title | LLM SATs FTW |
| URL | https://sroberts.io/posts/llm-sats-ftw/ |
| Date accessed | 2026-03-31 |
| Publication date | 2024 (estimated) |
| Authors | Scott Roberts |
| Publication | Personal blog + GitHub |
Selection Decision¶
Selected — Most relevant partial implementation found. Implements 3 structured analytic techniques (Starbursting, ACH, Key Assumptions Check) via LLM with open-source code. GitHub repo: https://github.com/sroberts/talk-llm-sats-ftw-code. However, covers only 3 of 66 SATs and is implemented as Python code + LangChain rather than a system prompt.