Nzoko Julien@nzokojulien8136095

People tell stories far better than they draw them, but today's visual AI tools usually make you write prompts, manage images and assemble scenes by hand. NarraFlow removes that friction. You press one microphone button and tell a story naturally. AssemblyAI's Voice Agent API handles real-time speech recognition, turn-taking, barge-in and spoken replies, and calls structured tools that turn what you said into a real story: characters, locations and scenes. Each scene is illustrated in the background while the conversation keeps going. Every character's visual traits are stored once and reused in every illustration, so the same girl in a yellow dress in scene one is still her in scene five. The story then becomes editable by voice. Say "make the tree blue," "change her dress to green," or "regenerate scene two," and only the affected scenes repaint - nothing else is touched. Say "play the story" and it becomes an animated storybook with captions and narration, exportable as an MP4. This build was tested against the real AssemblyAI service, not just mocks: real speech, real transcription, real barge-in and real tool calls into the real story engine, all confirmed live. Tool-call reliability turn-to-turn is still a work in progress and documented honestly in the README rather than overclaimed. Built with FastAPI, WebSockets, plain JavaScript, SQLite, ffmpeg, the AssemblyAI Voice Agent API and a Pillow-based illustration engine. Ideas for where this goes: bedtime stories, classroom storytelling, language practice, accessibility and creative writing.

NarraFlow is a multi-agent AI storytelling platform that breaks story generation into specialized stages instead of relying on one model. A Director Agent takes a user prompt and builds a blueprint (title, genre, tone, pacing, key events), and a Writer Agent turns that blueprint into full scenes, dialogue, and narration. This modular setup makes the system extensible — future agents could handle character consistency, world-building, memory, editing, illustrations, voice narration, translation, and interactivity, all without needing to redesign the core system. The Director Agent is kept lightweight for efficiency, keeping generation fast while still giving reliable structure to guide the Writer Agent. Potential uses span creative writing, education, game dialogue, screenplay drafts, role-playing campaigns, and personalized or AI-assisted content creation more broadly. Long-term, the goal is a fuller storytelling ecosystem with persistent character memory, illustrations, branching plots, multilingual support, collaborative writing, and stronger consistency checks — using this multi-agent, structured-planning approach as a template for how modular AI systems can scale creative tasks better than a single monolithic model

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.