After 30 years in traditional film and TV, Diane Shorthouse is exploring how AI can expand what filmmakers create. From safer production to bringing emotional performances to AI characters, she shares her experience making MINIBOTS with Kling AI.

👀 Getting an agent to simply show "I'm on it" can change how much users trust it. LangChain just shipped a small but effective feature for exactly that. Title: Build great out-of-the-box user experiences with Managed Deep Agents URL: Managed Deep Agents v0.9 adds a new reactions API for Slack channels, letting an agent post an emoji acknowledgment before it even replies. Here are 3 highlights. 👀 Simple emoji reactions Pass the reactions argument either a static emoji string or an async callable that takes context and returns one. You can start with a lightweight if/else, like returning 🐛 when the message contains "broken" and 👀 otherwise. 🧠 Dynamic picks via the Jev classifier With TypeSafeClassifier(model="typesafe/jev-latest"), the message gets auto-classified into categories like bug, incident, review request, or waiting, then mapped to the best emoji. If confidence drops below 0.25, it falls back to a safe 👀. 🎭 Skeuomorphic UI with custom emoji Custom Slack emoji shortcodes are supported too, so teams can use branded reactions to visually signal that an agent has just picked up a task. The takeaway: unglamorous UX details like loading states are often what decide whether users actually trust and keep using an agent. #LangChain# #AIAgents#