Reggi Q&A Chatbot

Reggi is an AI-powered chatbot designed to assist with legal and compliance research. It provides direct answers to regulatory questions, along with source links for verification. By leveraging Reggi, users can quickly extract requirements, summarize laws, and gain insights into compliance matters.

Getting Started with Reggi

Access Reggi: Click the purple Reggi icon in the left navigation bar.
Start a Chat: Type your question in the search bar or choose a skill to begin.
View Responses: Reggi provides direct answers along with source links for verification.

Tips for Best Results

Be specific: Include the law, jurisdiction, or industry for better answers.
Experiment with wording: Rephrase if needed for more precise results.
Save useful prompts: Click the Save icon to revisit important queries.

Effective Prompting for Reggi

Prompts are key to leveraging Reggi effectively. Well-crafted prompts enhance responses, helping users extract requirements, summarize laws, and answer compliance questions efficiently.

Tips for Effective Prompts

Know Reggi’s Capabilities & Limits – Leverage out of box prompts where possible to have consistent research outcomes.
Be Specific – Detailed prompts yield better responses. Include context like jurisdiction, industry, or use case.
Vary Prompt Types – Different questions prompt different responses. Experiment to improve accuracy.
Refine & Save Effective Prompts – Adjust phrasing, format, and details to optimize responses. Save successful prompts via the History section.
Provide Formatting Details in the Prompt – Example prompt: Explain the cybersecurity-related regulations in the state of North Carolina step by step. 1) The output of the summary should be based on - Source, Background, Purpose, Target Audience, Key Requirements, Publication Date, Effective Date, and Penalties. 2) Assign sequence numbers to the output to enhance visibility. 3) Generate a tree diagram that shows the systematic position of the regulation in relation to other factors. 4) Generate a matrix that lists the summary of the output.