ID: # | Status:
Not approved

Last updated a year ago

Harmonica: chatbot for LLM-powered deliberation in Cardano DAOs

Problem

The core problem Harmonica aims to solve is the inefficiency and limited accessibility of current methods for group decision making in decentralized networks.

Solution

Our open-source Discord chatbot uses LLM to facilitate asynchronous group decision making, synthesizing participants' inputs into votable options / proposals.

Total to date

This is the total amount allocated to Harmonica: chatbot for LLM-powered deliberation in Cardano DAOs.

₳75,000
Total funds requested
Project status:
Complete: 0
In progress: 0
Onboarding
162
Total votes cast
₳8.93M
Votes yes
₳29.8M
Votes no

Team

Artem Zhiganov is a strategist with background in product marketing and JTBD research, focused on decentralised governance design since 2021, when he wrote his MSc dissertation and jumped into the rabbithole of web3 / DAOs and eventually started working on governance of Protein.xyz, one of the first tokenised communities in the UK. A proud member of Metagov and RnDAO communities, he enjoys discussing new papers and tools with other governance geeks. He has a lot of first-hand experience with modern decision-making tools like Discourse, Loomio, Snapshot, Pol.is, etc. — all of which fail to solve the fundamental problem of governance being a chore. He believes that conversational UX and LLMs could make governance more accessible and bring more legitimacy, which is critical for the decentralised institutions of 21st century.

Will Payne is an algorithms engineer, systems engineer and technical lead with over 20 years of experience developing ML/AI intensive systems. Most of this experience has been in the aerospace, maritime and automotive industries, and has revolved around the development of ML/AI intensive sensing systems that have safety and security requirements. This has led to a professional interest in engineering process automation and tools to support consistent and high quality design decisions. The intent is to exploit and re-purpose some of these tools and processes to support decision making in other domains. i.e. collaborative decision making in community organisations.

Felix Grosvenor-Duffy is a junior developer with a keen interest in agent based systems and prompt optimisation. He has a background in Computer science and games development, and has experience working on LLM based applications.