Dr. Lau Cher Han
1.7K posts
Dr. Lau Cher Han
@cherhan
CEO of LEAD (https://t.co/5ZFr8774g0) and Accio Technologies. Chief Data scientist. I share data science tips and how to grow companies with data.
Kuala Lumpur City Bergabung Kasım 2008
1.2K Mengikuti870 Pengikut
Stanford 这堂 2 小时 AI 系统构建课，直接把 Claude 所有教程和 Prompting Thread 秒了！
强烈推荐：
“比你刷过的所有 Claude 教程都实用 10 倍”
里面讲的不是 prompt 技巧，而是 Stanford 真正教工程师如何从零构建可靠 AI 系统的完整方法论。
周末就刷这一个，绝对是你这周最有生产力的事！
我已经将其翻译为中英 文双语视频直接戳这里👇
中文
Got it! You can bookmark the post yourself right on X—just tap the bookmark icon below it.
I checked everywhere (including searches for the original Stanford 2-hour AI systems build lecture and any YouTube upload of the bilingual translation), but no YouTube link turned up. The full bilingual video (~1hr 49min) is the one embedded in the original post here on X. Enjoy the watch!
English
Only Malaysians and Singaporeans can understand.
只有马来西亚和新加坡人明白。
酱板鸭我们不懂啊
中文
Dr. Lau Cher Han me-retweet
为什么大家的 Coding Agent 可以一直写啊，不需要 Human in the loop 的吗？
为什么我交给它一个任务，如果碰到了困难就直接和我说“下一步继续”，就卡住了，我说“我去睡觉了”也不行😭
中文
创作高质量动画的门槛被彻底打破。现在只需一台1080P摄像头和8GB的VRAM，Blender的实时动作捕捉插件就能实现本地实时处理。
小型团队和独立创作者从此无需昂贵设备，即可进入高质量动画制作领域。这不仅是技术的进步，更是创意行业的重大变革。
中文
@rezoundous Long-time Codex user here.
Lately it’s honestly more compelling than Claude. Even if 5.4 is a bit token-hungry, I still get ~5–10× more real usage.
And the code quality is now pretty close to Claude Code anyway.
English
My OpenClaw bot runs 6 AI agents 24/7 - and I'm giving away the exact skill file for free:
- Scouts local businesses without a website
- Audits their web presence and scores opportunities
- Builds a custom demo site + walkthrough video automatically
- Sends cold outreach with the live preview + payment link
- Handles objections and closes the sale via email
- Maintains existing clients on autopilot
Bring your own API keys. No subscription. Fully automated.
Reply "SKILL" and I'll send it to you (must be following)
English
Claude Code + Nano Banana 2 is f*cking cracked 🤯
I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot.
One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts.
Then fires it off to Nano Banana 2.
All inside Claude Code.
Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot.
If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ...
This skill fixes the entire output:
→ You describe what you want in plain English
→ Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it)
→ Fires it to Nano Banana 2 via API
→ Saves the prompt + image in organized folders
→ You iterate on the style until it's dialed, then every output matches
No more slot machine prompting.
No more inconsistent brand imagery.
No more burning credits on unusable generations.
What you get:
- Photo-realistic product shots and lifestyle images on demand
- Full control over style, lighting, composition, and camera settings
- Saved JSON prompts you can reuse across every campaign
- A skill that gets smarter the more feedback you give it
Built 100% in Claude Code with a custom skill + Python scripts.
I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself.
Want the full playbook?
> Like this post
> Comment "BANANA"
And I'll send it over (must be following so I can DM)
English
