Featured image of post Same Grok 4.7, Five AI CLIs, Only Two Survive: A Terminal Benchmark

Same Grok 4.7, Five AI CLIs, Only Two Survive: A Terminal Benchmark

We wired the same self-hosted Grok 4.7 endpoint into five terminals — codex, grok CLI, opencode, Kimi Code, and Claude Code — and ran identical tests for latency, reasoning, tool calling, and compatibility. codex wins across the board; grok CLI is the stable runner-up; opencode works but crawls; Kimi Code and Claude Code crash the account pool with their oversized system prompts.

Featured image of post Benchmarking Deep Dive & Production Pipeline: Data, Routes, and the Undervalued L0 Direct Sourcing

Benchmarking Deep Dive & Production Pipeline: Data, Routes, and the Undervalued L0 Direct Sourcing

Deep benchmarking of the air disaster/disaster/military map narration niche: breaking down the update rhythm, viewership scale, and monetization structure of five English channels one by one; scanning the Chinese-language account ecosystem (X investigations, Sandtable Wars, the common growth patterns among the 'Little John Khans'); the real RPM/CPM scale and ad discount rates for disaster-themed content; and finally overturning my own assumptions—the optimal path for M3 map reconstruction isn't reverse-engineering from video frames, but directly sourcing from L0 investigation reports.

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