{"title": "Harmonica: AI-powered chatbot for sensemaking", "logoImg": "bafkreifixfl42zdn5ypf3d2f32tsrtia5rl5qen3axomu2qf6jfhi66tfm", "website": "https://getharmoni.ca", "bannerImg": "bafybeid52x4srafndbmugnlhibjgtuet4owggggzojzihbrmplyaqkqbbi", "createdAt": 1698933017821, "userGithub": "zhiganov", "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..nEBP7rqoDwrCDtWByM2twyzgnGUles2Vfa3SI56yrYyNJBU9EOICFj69udo5A8m95kmPN3kNRFXi6tfVKrntCA", "type": "Ed25519Signature2018", "created": "2024-04-16T09:13:22.602Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2024-04-16T09:13:22.602Z", "expirationDate": "2024-07-15T09:13:22.602Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x52efcAbfEE378D675a50644f4A2C05B741b009c1", "hash": "v0.0.0:shzrkktarPfZ2UPqPLoJkulj8AFLVA4/o1ro6wrGkMQ=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#harmonica__bot"}}}, "description": "\n# Harmonica — superfast group sensemaking in Telegram & Discord\n\n\nHarmonica is a chatbot that enables fast sense-making by having 1:1 dialogues with session participants, using LLM prompts to synthesize their responses and ask additional questions if needed. It saves a lot of time (no need to process inputs from participants), makes powerful frameworks such as Sociocracy / S3, Agile, Cynefin very easy to use, and makes sense-making more inclusive and robust.\n\nThe main objectives for us at this stage:\n\n- Build a chatbot solution that synthesizes natural language input from multiple users for collective sense-making. We will complete this goal by launching the MVP within 2 months of funding.\n- Make sense-making more intuitive and engaging. We will measure progress toward this goal through case studies with early adopter DAOs showing decreased time to create OKRs and similar artifacts, and increased engagement.\n\n## The Problem\n\nSense-making is the most underserved need in decentralized governance. [Our research funded by Arbitrum](https://blog.getharmoni.ca/before-the-proposal) showed that DAOs desperately seek alignment, but often struggle with OKRs, purpose statements, RFPs, etc. These collective intelligence artifacts serve as a scaffolding for decision-making, and are often co-created in small groups of people with high context (i.e. initial sense-making), which heavily relies on facilitation skills of governance leads or someone responsible for strategy. Facilitation of sense-making takes too much time and effort – normally 1-2 months of hard work to engage more people and process their inputs. Thoughtful deliberation doesn't scale. People feel voiceless and disrespected. Valuable insights are missed. This limits the agility and effectiveness of DAOs in defining direction and making decisions.\n\n\n## The Solution\n\nGenerative AI + conversational UX = chatbot for superfast deliberation / sensemaking. By talking to participants 1:1 and synthesizing their responses, our chatbot enables more people to participate in important discussions and saves a lot of time.\n\nHarmonica aims to reimagine collective sense-making by using Generative AI, chatbot UX and facilitation templates. It synthesises participants' input into OKRs, RFPs, proposal drafts, roadmaps, budgets, etc. without people talking to (arguing with) each other directly. Harmonica removes conflict from the process and increases engagement. Participants can be candid with their opinions without offending others, hear positions and arguments independent of individual personalities, bypass organisational politics, and still benefit from a deliberative process that bridges opinions and boosts alignment.\n\n## Roadmap / milestones\n\n### 1. Proof of Concept [completed] ✅\n\nBuild a proof of concept to demo with potential users and experts in the field of governance, validate the concept and get feedback on best-practice methods for building and structuring an LLM-powered deliberation tool.\n\n- Build a POC with one simple template (connect Discord API to OpenAI API) ✅\n- Validate hypotheses with governance practitioners and sense-making experts ✅\n- Outline the initial roadmap ✅\n\n### 2. MVP (Q2 2024)\n\nThe MVP should be able to facilitate basic sense-making sessions and have sufficient functionality to validate the demand in the pilot study.\n\n- Telegram bot with improved UX (e.g. onboarding, buttons)\n- Web dashboard\n- Library with 3+ useful facilitation templates (prompts) that hosts can choose from\n- Separate dialogues with session participants\n- Product analytics\n\n### 3. First revenue (Q4 2024)\n\nThe goal of the second milestone…\n\n- Payments (introduce subscription / pro features)\n- 10+ facilitation templates + editor to add new ones\n- Improvements of web dashboard\n- Using Langchain and vector DBs to process more info / ask better questions\n- Embedding additional context (responses from previous sessions, handbooks and constitutions, etc.)\n- Harmonica API and documentation\n\n\n## Team\n\n**Artem Zhiganov —** Product strategist with background in marketing and user research. Member of RnDAO. Previously governance lead of Protein Community. Big fan of commoning (Ostrom, Bauwens, Bollier, Prosocial Design, etc). University of Manchester & Newspeak House alum.\n\n**Harry Eastham —** Brand & Interaction Designer leveraging AI, data & no-code tools to produce (almost) anything. Built & launched Gitcoin's new website & brand. Previously founding team of Protein Community, design lead at Here Be Dragons.\n\n**Will Payne** — 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.\n\n**Andrea Gallagher** — Researcher with 25 years experience in information architecture, interaction design, and UX strategy. Started in the earliest web1 startups, through [dot.com](http://dot.com/) consultancy, then focusing on User Research and Design Management at Intuit, Google, and Asana. In the last few years she’s been active in web3, leading User Research at Aragon and now at RnDAO. Trained and taught design thinking and group facilitation, including work as an Innovation Catalyst at Intuit.\n\nEarly prototype: **[Using GPT in Discord to find common ground](https://www.loom.com/share/d9c165142d62448cb2e0895138e39a52)**\n", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "harmonicabot", "projectTwitter": "harmonica__bot"}