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Your @OpenAI agent's answer now survives a refresh or a dropped connection, because the reply lives on a session instead of on the connection. Any device can pick the same thread back up. Demo: ably.com/blog/ai-transport-o…
#AIAgents
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Guaranteeing WebSocket order in production isn't a one-time fix. TCP's guarantee ends at one connection. So past that, sticky routing, a shared coordination layer, and replay sequencing are system requirements. But should you manage the infra?
ably.com/blog/websocket-orde…
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Fin's Colin Kennedy, on deciding whether to keep maintaining your own WebSocket infra for AI streaming: "Is maintaining this system helping you build a better product?"
The framework to work through that decision: ably.com/blog/websockets-ai-…
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Building LLM streaming? You've probably got session IDs, a Redis buffer, and dedup logic. That's five systems you maintain forever, and there's a sneakier failure too: streams that look fine while nothing confirms delivery. The fix: ably.com/blog/resume-tokens-…
#AIEngineering
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Your AI agent goes quiet mid-task. Thinking, stalled, or dead? From the client, you can't tell.
That's because most AI infrastructure has no signal for it, as Vercel's own maintainers have said.
Ably AI Transport gives you one.
ably.com/blog/ai-agent-model…
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Three agents check flights, hotels, visa rules in parallel. Your UI: one status line, "Working on it..."
That's structural. Change a hotel mid-search, and the UI won't show it until the orchestrator reports back.
See what real collaboration needs.
ably.com/blog/multi-agent-ai…
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Presence and shared state used to mean building your own layer for it.
AI Transport v0.3.0 builds presence in: one call answers whether the agent is online and who else is watching. LiveObjects, opt-in, syncs shared state too.
See what shipped, with code.
ably.com/blog/introducing-ai…
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Your AI chat demo works ✅
Then you ship it - and a refresh mid-response restarts the conversation 🔄
HTTP streaming hits limits past simple prompt-response:
- Lost context on refresh
- No agent visibility
- Can't interrupt a stream
See how a session layer fixes this - and when you need to introduce one.
ably.com/blog/ai-stack-sessi…
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Model providers handle inference. Agent frameworks handle orchestration. Temporal makes the backend crash-proof. Every layer has a name.
Except for the one between the agent and the user's device. Discover what this looks like 👇 ably.com/blog/stateful-agent…
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Workflow Streams lets a client watch output. It can't send anything back.
Fine, until someone needs to step in mid-task. There's no way in: redirecting means starting over and losing progress.
We break down where Workflow Streams ends and what needs to sit alongside it.
ably.com/blog/temporal-workf…
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A third person joins an AI conversation an hour in. In most products, they're starting from zero.
A durable session catches them up automatically: full history, no special load-history call, same mechanism as a page refresh or device switch.
We show exactly how this works in a real demo. Worth seeing end to end 👇
ably.com/blog/durable-sessio…
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A vanished AI conversation on reload is a support ticket, a lost upsell, or a compliance question.
useChat doesn't persist history by default. A database write fixes reload, not a second device joining live.
We cover when a database write is enough, and when it isn't.
ably.com/blog/ai-chat-stream…
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Most teams don't choose their AI chat transport. It just comes with useChat.
It works fine, until a real user does something the demo never covered: a tab switch, a second device.
We mapped exactly where the gaps show up. Worth checking before you find out the hard way.
ably.com/blog/custom-transpo…
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Your Java backend tracks a leaderboard. Someone resets it. Your code doesn't know, and now needs manual rebinding.
LiveObjects for Java fixes this: point at a location, not a specific object. It resolves to whatever's there now.
Full examples in Java and Kotlin.
ably.com/blog/liveobjects-ja…
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The demo never drops a connection. Production does, constantly.
Break it mid-generation and the response is gone, not paused. Resumable streaming needs three things: buffering, session tracking, ordered replay.
We break down how to get all three right.
ably.com/blog/token-streamin…
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Your agent is mid-response. The user changes their mind and follows up.
Most agents treat that as a new conversation, wasting the response still generating. Steering keeps it in the same loop: cancel and restart, or finish and run alongside.
We break down both approaches in detail.
ably.com/blog/ai-transport-m…
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Your stop button works great. In the demo.
Then a user hits stop mid-tool-call. Cancellation isn't instant, some tokens still arrive after, tied to a run that's supposed to be dead.
We walk through every race condition a correct stop endpoint needs to handle. Worth checking yours.
ably.com/blog/stop-vs-discon…
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