Product: Resources

"Hello, and thank you for calling Finsbury Bank. For English, press 1. Para español, oprima el dos." *beep* "Please say or enter your 16-digit account number, followed by the pound key." "Four, seven, two, …" "I'm sorry, I didn't catch that." For about 20 years, that was voice AI. A decision tree, a radio voice,

TLDR; WebSocket exits HTTP entirely for a full-duplex TCP channel. SSE stays inside a standard HTTP response that never closes. A six-connection-per-origin browser limit made SSE impractical under HTTP/1.1. HTTP/2 multiplexing killed that constraint, and LLM token streaming has since made SSE the default transport for most major AI SDKs. SSE is the simpler default

It doesn’t seem too long ago that a livestream was an “event.” Something that required a dedicated team, dedicated hardware, and custom or enterprise software to run. And if your audience was anything more than a few thousand, the likelihood of failure rose significantly. Now, you could start a livestream in the next couple of

Most of what you read about distributed systems assumes stable network links, synchronized clocks, and long-lived processes. Then mobile comes along. Mobile clients drop connections during cell handoffs, get killed by the OS to save battery, run clocks that drift by hundreds of milliseconds, and reconnect in synchronized waves after every outage. The failure modes

A security camera detects a package on your front porch. Ten seconds later, someone walks up and takes it. A built-in detection model can identify both activities, but without downstream use, the detection is redundant. That's the gap between Vision AI and a Vision AI application. The model produces predictions. Event-driven architecture turns those predictions

AI is getting deployed everywhere, but most of the models powering these systems were built in the US, trained on English-heavy data, and run on infrastructure you don't control. That works fine until it doesn't, and for a lot of teams building in regions like India, it already doesn't. What sovereign AI actually means Sovereign

In January 2019, Japanese billionaire Yusaku Maezawa posted a tweet offering one million yen to 100 random people who retweeted it. Within 24 hours, the post had been retweeted over 3.8 million times, making it at the time the most retweeted post in the platform's history. Every one of Maezawa's followers needed that post delivered

TLDR; Each platform here targets a different bottleneck: reasoning (OpenAI), workflow control (Voiceflow), scale (Bland), emotional intelligence (Hume), and vocal realism (ElevenLabs). Architecture matters as much as features — native multimodal models like OpenAI's Realtime API reduce latency by keeping audio in a single pipeline, while cascaded stacks trade some speed for modularity. Vision Agents