Product: Resources

A vision agent watches a live video and audio stream and acts while things are still happening. Here is what a vision agent is, how it differs from batch vision pipelines and voice agents, and how to build one in about 18 lines with Vision Agents, the open-source Python framework from Stream.

Open Instagram and you're immediately dropped into motion. The news feed is already populated. Stories are queued at the top. Within seconds, the app has a read on what you're likely to engage with. That read comes from signals (watch time, shares, saves, replies, viewing patterns) that update ranking systems and shape what's

The latest live streaming research shows the market hitting $221.17 billion by 2031.. But at the platform level, the data tells a more nuanced story. In Q1 2026, YouTube and TikTok both saw live content consumption drop, with TikTok Live viewership down more than 11%. At the same time, Twitch and Kick edged up in

Activity feeds look like the simplest feature in your app. A reverse-chronological list of stuff that happened. Sort by timestamp, render, done. That was then. Feeds are now a composite of the underlying event and everything that accumulates on top of it: likes, threads, GIFs, replies, and read receipts. If you're building one today, you

The honest answer is that almost every production system ends up hybrid. You run something small and fast at the edge, like a quantized YOLO on a Jetson or MediaPipe on an Android. The ambiguous frames get escalated to a beefier model in the cloud. Pure edge wins when latency, privacy, bandwidth, or offline operation

A wide-column store like Cassandra or ScyllaDB for the messages themselves, a relational database for user and channel metadata, Redis for ephemeral state and pub/sub fan-out, and an inverted index like Elasticsearch or OpenSearch for search. No single database covers chat well. The workload is lopsided, and different pieces of chat data have very different

Practicing sales conversations is one of those things everyone knows they should do more of but rarely do. Role-playing with colleagues is awkward, and every call with a real prospect is high stakes. What if you could run through objection scenarios on demand, get scored on your performance, and never risk burning a lead? That's

"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,