Why production AI needs a session layer, not just a stream
Blog post from Ably
The text discusses the evolving landscape of production AI, emphasizing the necessity for a session layer in addition to streaming to enhance AI user experiences, especially as AI tools transition from internal to customer-facing applications. The AI Engineer Europe event highlighted a shift towards building sophisticated AI products that prioritize user experience, with innovations like multi-agent systems and interactive user interfaces. A key takeaway is the importance of quality and resilience in AI systems, which is challenged by current HTTP streaming architectures that falter in maintaining continuity and control across various devices and connection drops. The text proposes that teams should adopt durable sessions, a concept where a stateful layer between agent and client ensures persistent connectivity and control, allowing for seamless reconnection and interaction across multiple devices. This approach, illustrated by Ably's AI Transport, decouples token generation from delivery, thus maintaining user control and improving the reliability of AI products.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 5 | 6,296 | 1,346 | 246 | -2% |
| LLM | 2 | 5,932 | 1,046 | 223 | -2% |
| Multi-agent systems | 2 | 460 | 170 | 68 | -20% |
| AI Agents | 1 | 4,430 | 1,100 | 236 | -3% |
| MCP | 1 | 6,108 | 613 | 170 | +36% |
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