An AI prompt-skill that turns 20 cognitive biases into high-converting marketing copy. Includes playbooks for ads, landing pages, email sequences, social posts, webinars, and product launches. Language-agnostic. Works with any LLM.

Official code repository for the paper "ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind"

Source codes for the paper "Examining the Ordering of Rhetorical Strategies in Persuasive Requests"

Three Claude skills: build irresistible Hormozi offers, run the 0-to-$10M business playbook, and write cold outreach that gets replies.

This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion

A small Node.JS library to detect loaded language.

"Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms"

Academic papers and Machiavellian marketing research by Hadrian Stone. Positioning against Kotler, Ries & Trout, Godin, and Greene.

This repository contains the data and code to support the paper Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues, authored by Kobi Hackenburg, Lujain Ibrahim, Ben Tappin, and Manos Tsakiris

Rasa chatbot to gather data for and test a personalized reinforcement learning algorithm to persuade people to do preparatory activities for smoking cessation and increasing physical activity.

Storytelling with data, Fall 2019

Code for the Paper "On the Conversational Persuasiveness of GPT-4"

Our aim is to explore the Behavior Modality. This involves explaining, predicting, and optimizing human behavior in the real world, especially from the context of marketing, advertising, and computational social science. Applications include targeting, personalization, recommendation, marketing content generation, etc.

A simple website on why RUST is the best language!

Mentorship text mining project with NC State University and RStudio

Object-oriented software implemented in Python based on Machine Learning and SpaCy. --- Python project based on The persuasiveness metric is concluded from a systematic literature review on persuasive natural language processing. It quantitatively determines the persuasiveness of any given email and compares it to 20.000 other successful emails.

Yaman K Singla's PhD Thesis - "Behavior As A Modality: A Framework To Enable Automated Persuasion"

Defense harness for high-stakes Japanese enterprise reviews, where approval risk, indirect objections, and internal justification matter.