ChatCraftAI
A real-time messaging platform with AI woven into the conversation rather than bolted onto the side — built as a full-stack TypeScript application covering the realtime transport, the data layer and the interface.
- Year
- 2025
- Engagement
- Full-stack development
- Focus
- Full Stack, Generative AI
- Status
- Open source
01 — The problem
Most AI chat interfaces are single-player: one person talking to a model. Real conversations have several people in them, and adding AI to a multi-party realtime channel raises questions a single-user chat never has to answer.
02 — Our solution
A messaging platform built realtime-first, with AI as a participant in the message stream. State is shared and consistent across connected clients, and AI assistance appears inside the conversation rather than in a separate panel.
How it works
The pipeline, step by step — from the first input to the final output.
- 01
Realtime transport
A persistent connection layer keeps every connected client in sync as messages arrive.
- 02
Message pipeline
Messages are persisted and broadcast, with ordering preserved across clients.
- 03
AI augmentation
AI responses are produced against conversation context and streamed into the same channel.
- 04
Interface
A React front end renders live conversation state with streaming updates.
What we built
The outcomes
01
A working realtime AI messaging application
02
Streaming AI responses in a multi-party channel
03
Full-stack ownership from transport to interface
Challenges we solved
Consistency under concurrency
Multiple clients and an async AI producer all writing to one stream makes ordering and de-duplication a real problem rather than a detail.
Latency is the product
In chat, perceived speed is the experience. Streaming was a design requirement, not an optimisation.
Technology stack
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