llm-lobbyist
Code for research on large language models conducting corporate lobbying activities.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
20views this month
Decision brief
The llm-lobbyist tool specializes in evaluating large language models' efficiency in conducting corporate lobbying activities using Jupyter Notebook and the `text-davinci-003` model.
Good fit when
- When you need to assess how well automated systems can determine if legislative proposals are relevant for particular public companies.
- If your research demands benchmarking large language models on corporate lobbying tasks, especially using data-centric approaches involving the relevance of legislation.
Avoid when
- If your scope of work does not involve evaluating or training large language models in a legal policy context.
- When you require a tool to analyze or generate content unrelated to legislative relevance, such as technical documentation or creative writing.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1346d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/JohnNay/llm-lobbyistSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Repository contains Jupyter Notebook code and data for evaluating the capability of large language models to perform tasks related to corporate lobbying, including determining legislative relevance and drafting persuasive letters based on OpenAI's `text-davinci-003` model.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 20, 2026
Categories
Tags
README
llm lobbyist Large Language Models as Corporate Lobbyists Links Paper [ This is a draft paper to explain some of the potential (positive and negative) implications of taking the LLM as Lobbyist idea further ] Code [ This is code we have released to allow other researchers to impr...
For agents
This page has a .md twin and JSON over the API.