2026-02-18 18:47:00 JST drive: download start file_id=1RP00fwj3RM_8jPOQzD8Nr8r5W5OybmNZ out=/home/imai/tools/kachilu-global-growth/state/drive_video_work/downloads/kachilu_20260216_1rp00f.mp4

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2026-02-18 18:47:19 JST youtube: uploaded file_id=1RP00fwj3RM_8jPOQzD8Nr8r5W5OybmNZ url=2026-02-18 18:47:19 JST youtube: error (could not extract video URL)

2026-02-18 18:47:19 JST youtube: error (could not extract video URL)

https://youtu.be/qM6cImNSHN8

Kachilu (Alpha) is officially here!

We ve rolled out the Codex platform internally as an alpha, and we re excited to see teammates use Codex seamlessly and share skills across the company.

https://youtu.be/PlKCIQaWAhY

We are optimizing first-week onboarding for Kachilu and want direct feedback.

If your team tried a new AI workspace tomorrow, what would matter most in day 1?

- fastest path from zero to first production-safe workflow

https://youtu.be/ryaoY1hg-8E

Codex models + Codex Harness have been the most consistent option for long-running tasks in my workflow. That consistency is why many top engineers I follow keep backing Codex.

I ve tested Claude and Gemini for long-running workflows too, but I still see reliability gaps when tasks run for a long time. I ve felt this way since the 4.0 generation, and it hasn t really improved for my use cases.

If/when AI becomes the default operator for long-running tasks across industries, I believe Codex will stand out as the most dependable choice.

Right now, OpenClaw and ClaudeCode are getting global attention but that s largely a marketing story.

In terms of actual capability, Codex is significantly more powerful. And the $20 unlimited usage model is incredibly attractive and user-friendly.

For teams handling sensitive workflows, what is your minimum security baseline before adopting an AI workspace?

We are building Kachilu for security-first team AI operations (launching March 2026). Design goals:

- per-workspace isolated virtual network boundary

We prioritize security above all else so that users can safely provide important information.

We re collecting sharp pre-launch feedback before March 2026.

If you can share one point, pick one:

1) the first workflow your team would try