About DOLPHIN VS. NOUS-HERMES ARENA
Mobile-ready dual-model AI debate simulator with procedural Web Audio beats
π Overview This project is an advanced, fully functional client-side engine that orchestrates real-time, autonomous debates and rap battles between two distinct AI models (local Ollama instances or cloud APIs). It combines complex multi-agent prompting, live fact-checking (RAG), synchronized speech follow-along, and a custom procedural Web Audio API synthesizer that generates beats and sub-bass impact pads on the fly without external audio files. -- βοΈ What Works Today (Hard Engineering Solved) The core logic and algorithms are completely built, tested, and operational: Multi-Model Orchestrator: Seamlessly handles turn-taking, rebuttals, dynamic question interruptions, and memory anti-looping between models (e.g., Dolphin vs. Nous-Hermes). Procedural Web Audio Beat Synthesizer: Real-time drum synthesis engine featuring 11 styles (Boom-Bap, 808 Trap, Drill, Memphis Phonk, Lo-Fi, Cyberpunk) with zero MP3 sample latency. Aura XP-16 Performance Pad: 16-pad sub-bass and impact DSP soundboard (808 glides, sub tremors, heavy gavels, vinyl brakes) playable live via touch or keyboard hotkeys. Dynamic Fact-Discovery (Live RAG): Automatically scrapes and extracts empirical facts, stats, and citations from DuckDuckGo, Wikipedia, or Tavily to support or refute opponent claims live. Speech Queue & Teleprompter: Sentence-by-sentence teleprompter with word-level karaoke highlighting, emotional prosody parsing, and iOS/Safari audio keepalive watchdogs that prevent browser speech stalls. Delivery Genres: Switchable modes including Parliamentary Intellectual Rhetoric, Comedy Roast Debate, Hip-Hop Cypher Rap Battle, Classical Opera, and Jazz Poetry. -- π οΈ Current State & Refactoring Needed (The Opportunity) Current Architecture: The engine currently lives in a high-density, single-file HTML/JS/CSS structure built for mobile/terminal testing. What It Needs: It needs to be refactored into a modern modular stack (such as Next.js, React, or Svelte + Tailwind CSS). Backend Setup: Moving the LLM endpoints, API keys, and web scrapers from client-side execution into a secure Node.js, Python, or Supabase backend. UI/UX Facelift: Replacing the terminal/cyberpunk aesthetic with a clean, consumer-ready or SaaS interface. -- π‘ Monetization & Product Potential 1. Automated AI Video/Podcast SaaS: Connect this to an automated canvas/video renderer to generate viral YouTube Shorts, TikToks, and podcasts (AI vs. AI debates, rap battles, roasts). 2. EdTech Debate & Rhetoric Coach: Package for schools, debate teams, and universities to train students against customized AI personas. 3. Interactive Entertainment / Gaming: Create a paid subscription platform where users pit historical figures, celebrities, or custom personas against each other in live interactive roasts. -- π€ Deal Terms & Acquisition Whatβs Included: Complete intellectual property, source code, prompt engineering frameworks, and audio DSP synthesis algorithms. Deal Structure: I am an R&D/engine builder looking to pass this to a product builder or operator. I am open to flexible terms, including earn-outs, revenue-share agreements, or seller financing (e.g., small cash deposit upfront + a percentage of monthly revenue until a buyout cap is reached). -- π» Tech Stack Languages: Vanilla JavaScript (ES6+), HTML5, CSS3 Audio: Web Audio API (custom DSP oscillators & filters), Web Speech API AI / LLMs: Local Ollama integration, OpenAI-compatible APIs Data / RAG: Client-side fetch integration (Wikipedia API, DuckDuckGo Instant API, Tavily)
For sale
Asking price: $1,500 USD
What's included
Source code, All related data, All related design work
β’ 100% IP & Commercial Rights: Full ownership, title, and commercial rights transfer to the buyer upon closing (no retained rights or licensing restrictions). β’ Flexible Earn-Out / Financing Structure: Open to structuring the purchase price as a small upfront cash deposit + an earn-out (e.g., 10%β20% of net software/hardware sales or subscriptions). β’ Technical Documentation: Complete local setup guide for running Ollama (Dolphin-Mistral and Nous-Hermes) and configuring the Web Audio DSP oscillators. β’ Handover & Advisory Support: 2 to 3 weeks of asynchronous Q&A / technical support via email or chat to help your developer understand the audio engine, state machine, and prompt pipelines during your frontend refactoring.
Reason for selling
I am currently in need of money and would like to sell this project.