Descriptions:
Fahd Mirza walks through a full, production-style setup of Qwen 3.7 Max — Alibaba’s latest frontier model — running as a fully autonomous agent through OpenClaw on a live Ubuntu server. Unlike most agent demos, there is no synthetic data or toy environment: the agent is given a single prompt and tasked with autonomously diagnosing the entire server, then delivering a structured health intelligence report without any human intervention.
The tutorial covers the complete configuration chain: installing OpenClaw via its one-liner script, obtaining API keys from Alibaba Cloud Model Studio, and editing the critical openclaw.json file to point OpenClaw at the correct provider endpoint (Singapore region), set the model code to qwen3.7-Max, enable the 1-million-token context window, activate thinking mode, and enable tool use for agentic execution. Mirza also details the current pricing structure: approximately $2.50 per million input tokens and $7.50 per million output tokens (at 50% promotional discount), with code interpreter and web extractor tool calls currently free.
The live agent run shows Qwen 3.7 Max autonomously planning its diagnostic steps, executing system checks across CPU load, memory usage, filesystem configuration, active SSH sessions, and running processes, then generating a formatted HTML health report with color-coded scores. The video gives viewers a concrete, reproducible path to running a capable autonomous agent on their own infrastructure at low cost.
📺 Source: Fahd Mirza · Published May 22, 2026
🏷️ Format: Tutorial Demo
