Harmonica is a chatbot designed to enhance group sense-making within communities incl. DAOs by facilitating async communication on platforms like Telegram and Discord as well as on web3. Using Generative AI and a conversational UX, the tool allows for 1:1 interactions with participants to gather and synthesize responses, thereby speeding up the co-creation of artifacts like proposals, OKRs, RFPs, roadmaps and strategy documents without the need for direct group discussions. This reduces conflict and improves engagement by allowing participants to express candid opinions and achieve alignment more efficiently.

Problem: Harmonica targets the critical and underserved challenge of sense-making within decentralized organisations. Traditional methods, which rely heavily on the facilitation skills of a few, are time-consuming and often leave many participants feeling overlooked, thus limiting organizational agility and effective decision-making.

Solution: By integrating AI with a conversational UX, Harmonica automates the initial stages of sense-making. This allows for a more inclusive and efficient process, where more individuals can participate without the time constraints and interpersonal conflicts typical of standard meetings.

Specific Project to be Funded: Developing a Template Generator

Project Description: The specific project that seeks funding is focused on the development of an AI-powered facilitation template generator. This tool will enable teams to create customized facilitation templates that reflect their unique meeting and collaboration styles. Once generated, these templates can be deployed on the Harmonica platform to facilitate async meetings across various teams and groups.

Target User Group and Need: The project primarily targets online communities and DAOs, addressing the core need for effective group decision-making. It aims to equip all participants with the tools to contribute meaningfully to strategic deliberations, thereby making the process fairer and more productive.

Sustainability and Value Delivery: Post-funding, the project aims to become a perennial good and achieve commercial sustainability. Harmonica plans to make the core functionality available for free, allowing teams to design their own templates. Template library will be created where users can publish and monetize their templates, with revenue shared between the creators and the Harmonica platform. This model not only promotes continuous improvement and use of the best templates but also supports the platform’s long-term viability.

Project Team

• Artem Zhiganov (Product Lead): Artem is a governance expert with a background in product marketing. He previously led governance at Protein, a tokenized community, studied governance for his MSc thesis, consulted tech companies, worked as PM in a music streaming service and teached Jobs-to-be-Done research. Artem is currently organizing the DeGov track at Zuvillage Georgia. LinkedIn
• Anton Mikhailov (Chatbot + LLM Ops): With 15 years of experience, Anton has a strong background in full-stack development and team leadership. He is the founder and CTO at Codee Studio and holds an MSc in Computer Science. Recently developed a passion for enhancing LLM performance using RAG pipelines and vector DBs. LinkedIn
• Jonas (Backend + Prompt Engineering)
• Andrea Gallagher (Advisor): Andrea brings 25 years of expertise in information architecture, interaction design, and UX strategy, making her a vital resource for guiding Harmonica's design and user experience strategies. LinkedIn

Milestones for the Template Generator Project

1. Weeks 1-3: Rapid Design and Prototyping
   • Objective: Quickly design a user-friendly AI-powered template generator.
   • Actions:
     • Conduct a fast-tracked requirement gathering session with key stakeholders.
     • Develop a basic functional prototype of the template generator interface.
   • Expected Completion: End of Week 3.
2. Weeks 4-6: Development Sprint
   • Objective: Develop essential functionalities and integrate with the Harmonica platform.
   • Actions:
     • Code the core back-end functionalities necessary for template generation and storage.
     • Implement the initial user interface based on the prototype.
   • Expected Completion: End of Week 6.
3. Weeks 7-8: Internal Testing and Refinements
   • Objective: Conduct internal testing to ensure stability and usability.
   • Actions:
     • Perform rigorous internal testing to identify bugs and user experience issues.
     • Refine functionalities and interface adjustments based on internal feedback.
   • Expected Completion: End of Week 8.
4. Weeks 9-10: Beta Release and User Feedback
   • Objective: Release a beta version to selected users and gather feedback.
   • Actions:
     • Deploy the beta version to a select group of DAO representatives and early adopters.
     • Collect and analyze feedback to make final adjustments.
   • Expected Completion: End of Week 10.
5. Weeks 11-12: Final Adjustments and Launch
   • Objective: Finalize the product for official launch and begin initial marketing efforts.
   • Actions:
     • Implement final adjustments and enhancements based on beta feedback.
     • Prepare and execute a launch plan, including communications and user support.
   • Expected Completion: End of Week 12.

The threshold of this project for the Collabtech Round is $1,500.