Modal

3 videos across 3 channels

A practical look at deploying autonomous AI agents with Modal, exploring three deployment patterns—from local cron-like loops to cloud routines and pluggable-triggered scripts—and how each fits within a WAT (workflow, agent, tools) framework. The coverage also notes session handling, prompts, and the agent SDK, while benchmarking open-weight models like GLM-5 and discussing real-world hosting and deployment challenges. Together, these clips reveal how open-source toolchains and modular architectures enable flexible, scalable AI tooling in production.

I Tested 3 Ways to Deploy Claude Agents (Here's When to Use Each) thumbnail

I Tested 3 Ways to Deploy Claude Agents (Here's When to Use Each)

The video breaks down three practical ways to deploy Cloud agents to run autonomously: a local loop controlled by cron-l

00:21:48
GLM-5 is unbelievable (Opus for 20% the cost??) thumbnail

GLM-5 is unbelievable (Opus for 20% the cost??)

The video reviews GLM5, an openweight model that competes with Opus and Codeex, highlighting its strong performance, rea

00:26:23