Jenisha AI

AI Creator | AI Videos | Prompts Turning ideas into visuals | 📩 DM for collaborations | CPP @Flovaai
📧[email protected]

[Jenisha AI @Jenisha_AI]

@Pexoai_offical @evanLiaoQ This makes product launch videos ridiculously simple. One photo, one voice recording, and the whole video comes together no studio or retakes needed. 🔥

[Pexo @Pexoai_offical]

AI Guide Makes Product Launch Videos Easy for Beginners!

Need your founder on camera for a launch video, but no time to shoot?

Here's how this Pexo launch video was made.

We gave Pexo one photo of @evanLiaoQ and a short voice recording.

Pexo learned his face, cloned his voice, and read the whole script with it.
Every line came back with timestamps, so the captions and graphics lined up on their own.

Since everything is generated from that one photo, he looks the same in every scene.
We never booked a studio or did a second take.

Whenever something needs fixing — a shot, an audio line — we just tell Pexo directly.
Even adding captions is this simple.

[Jenisha AI @Jenisha_AI]

The reverse engineering approach here is really smart.

Instead of trying to guess the perfect prompt, start with a launch video you like, break down its structure and visual language, then let Pexo help turn that reference into a clear creative direction.

That makes the whole process much more intentional from the first shot to the final iteration.

[Ding @dingyi]

https://t.co/pHSP0qD8o9

[Jenisha AI @Jenisha_AI]

@dingyi The reverse-engineering step is what most people overlook. Giving Pexo a real launch reference first, then refining its generated shot list, works far better than starting with a vague “make it cinematic” prompt.

[Ding @dingyi]

https://t.co/pHSP0qD8o9

[Jenisha AI @Jenisha_AI]

AI video creation is becoming more intuitive.

With Pexo, you can turn an idea into a polished video by simply describing what you want, reviewing the output, and refining it through natural conversation.

A much simpler approach to creative production.

[Elara AI @ElaraAiLab]

AI video creation shouldn’t require learning complicated workflows.

I tested @Pexoai_offical by creating a SaaS launch video for Linear.

I shared the product URL, explained the direction in natural language, reviewed the first scene, gave feedback, and kept refining it through conversation.

Pexo handled the UX motion, UI animation, typography, music, and final assembly.

The interesting part isn’t just the final video.

It’s being able to create and revise the whole thing by simply talking to an AI video agent.

Try Pexo: https://t.co/aguYsinBxV

Here’s the process → final result

#MadeWithPexo

[Jenisha AI @Jenisha_AI]

@ElaraAiLab @Pexoai_offical The conversational workflow is the real highlight here. Simple, intuitive, and powerful.

[Elara AI @ElaraAiLab]

AI video creation shouldn’t require learning complicated workflows.

I tested @Pexoai_offical by creating a SaaS launch video for Linear.

I shared the product URL, explained the direction in natural language, reviewed the first scene, gave feedback, and kept refining it through conversation.

Pexo handled the UX motion, UI animation, typography, music, and final assembly.

The interesting part isn’t just the final video.

It’s being able to create and revise the whole thing by simply talking to an AI video agent.

Try Pexo: https://t.co/aguYsinBxV

Here’s the process → final result

#MadeWithPexo

[Jenisha AI @Jenisha_AI]

What happens when the last flame starts fading? 🔥🌑
Apparently… one warrior stands against the darkness. ⚔️👀
Made with GPT Image 2 + Seedance 2.5 on @budgetpixel

[BudgetPixel AI @budgetpixel]

Limited-time deals on BudgetPixel AI
Seedream 5.0 Pro — 30% OFF
Wan 3.0 — 30% OFF
Create high-end images with Seedream 5.0 Pro or cinematic videos with Wan 3.0 for less.
Wan ends sooner — don’t miss it.

[Jenisha AI @Jenisha_AI]

Turn a folder of raw coffee shop photos into 3 ready-to-post videos with GPT-6 Astra + DaVinci Resolve. ☕️🎬

No manual editing. No starting from scratch.

The MCP workflow handles the editing, captions, voiceover, music, and export. 🤯

[Sabrina Ramonov 🍄 @Sabrina_Ramonov]

https://t.co/ly5I0Oe9ug

[Jenisha AI @Jenisha_AI]

@cheery9998 Visual closed-loop auto-iteration for webpages tweak UI efficiently even without frontend know how!

[Cheery @cheery9998]

https://t.co/HQ0oTnUt29

[Sabrina Ramonov 🍄 @Sabrina_Ramonov]

https://t.co/ly5I0Oe9ug

[BudgetPixel AI @budgetpixel]

Limited-Time Offers on BudgetPixel AI
Save 30% on some of our top image & video models:
GPT Image 2.5 Flare
GPT Image 2.5 Sunburst
Seedream 5.0 Pro
Wan 3.0
Different deals end at different times — try them before they’re gone.

[Jenisha AI @Jenisha_AI]

@zhongying14 That “confirmed vs. can’t infer” approach is exactly how AI should handle financial reports. 🔥

[麻酱AI实验室 @zhongying14]

英伟达交出的这份 962 亿美元季度收入的财报，数字大到很容易让人失去感觉！

我看完把这台 AI 基建印钞机拆开看，哪部分已经是落在报表里的真金白银，哪部分是市场已经提前押注的未来

于是我把 NVIDIA FY2027 Q2 ��两份官方文件交给 Ling-3.0-flash-Fin，设了个简单但特别狠的规则：
- 只根据 PDF 说话；
- 每个判断都标出依据；
- 推不出来的地方，直接写“推不出来”

它给我的答案很清楚，具体过程看我下面这个视频！

先看已经落地的部分：
- 季度收入 962.21 亿美元，同比 +106%
- 数据中心收入 890.23 亿美元，同比 +117%
- GAAP 净利润 596.88 亿美元
- 前六个月经营现金流 744.21 亿美元

这是一台正在全速运转的机器：收入、利润、现金流，三项都摆在台面上！

更有意思的是另一份清单！
- AI 云合作里有 360 亿美元承诺；
- SB Energy 的担保上限达到 1050 亿美元；
- 还有一个计划撬动超过 5000 亿美元第三方资本的平台安排

这些数字足够让任何人热血沸腾！
但放回财报原文，它们有各自的位置：未来承诺、担保、拟议安排。
它们描绘了 AI 基建会往哪里冲，也不该被直接塞进这一季的收入里

我很喜欢 Ling 这次给出的处理方式，它把“已确认”、“正在推进”、“现有材料无法判断”摆在同一页
看财报最容易发生的事，就是看到一个巨大的数字，立刻替它配上一个巨大的故事
但真正有用的工具，应该帮你先把数字放回原文，再决定故事该讲到哪里

完整实测视频放在下面。两份 PDF、关闭联网、所有提问和输出都在视频里

Ling-3.0-flash-Fin已经在OpenRouter限时免费
快去体验看看👇 https://t.co/rP7AWYlViS

*本次测试仅基于两份 NVIDIA 官方文件，不构成投资建议

[Jenisha AI @Jenisha_AI]

This is a great example of how AI can turn complex financial reports into clear, evidence-backed insights. 📊
What stands out most is the discipline: separate confirmed numbers from future commitments, cite the source, and say “can’t infer” when the data isn’t enough.
That’s the kind of AI analysis I want to see more of. 🔥

[麻酱AI实验室 @zhongying14]

英伟达交出的这份 962 亿美元季度收入的财报，数字大到很容易让人失去感觉！

我看完把这台 AI 基建印钞机拆开看，哪部分已经是落在报表里的真金白银，哪部分是市场已经提前押注的未来

于是我把 NVIDIA FY2027 Q2 的两份官方文件交给 Ling-3.0-flash-Fin，设了个简单但特别狠的规则：
- 只根据 PDF 说话；
- 每个判断都标出依据；
- 推不出来的地方，直接写“推不出来”

它给我的答案很清楚，具体过程看我下面这个视频！

先看已经落地的部分：
- 季度收入 962.21 亿美元，同比 +106%
- 数据中心收入 890.23 亿美元，同比 +117%
- GAAP 净利润 596.88 亿美元
- 前六个月经营现金流 744.21 亿美元

这是一台正在全速运转的机器：收入、利润、现金流，三项都摆在台面上！

更有意思的是另一份清单！
- AI 云合作里有 360 亿美元承诺；
- SB Energy 的担保上限达到 1050 亿美元；
- 还有一个计划撬动超过 5000 亿美元第三方资本的平台安排

这些数字足够让任何人热血沸腾！
但放回财报原文，它们有各自的位置：未来承诺、担保、拟议安排。
它们描绘了 AI 基建会往哪里冲，也不该被直接塞进这一季的收入里

我很喜欢 Ling 这次给出的处理方式，它把“已确认”、“正在推进”、“现有材料无法判断”摆在同一页
看财报最容易发生的事，就是看到一个巨大的数字，立刻替它配上一个巨大的故事
但真正有用的工具，应该帮你先把数字放回原文，再决定故事该讲到哪里

完整实测视频放在下面。两份 PDF、关闭联网、所有提问和输出都在视频里

Ling-3.0-flash-Fin已经在OpenRouter限时免费
快去体验看看👇 https://t.co/rP7AWYlViS

*本次测试仅基于两份 NVIDIA 官方文件，不构成投资建议

[Lonely @Lonely__MH]

https://t.co/uSygF4dr3X

[实践哥 Li @MinLiBuilds]

太魔幻了，Astra 还在让大家惊叹：AI 终于会用 Blender 了。

结果Nex-AGI 已经直接出现在现实世界里了。

我只给了一个 Prompt：
做一根 6cm 的粉色活动香蕉，省点料。
然后我基本没碰 Blender。
它自己用 MCP 建模，Computer Use 看结果、自己修，最后直接吐给我一个 STL。

我顺手扔进拓竹。

👇 视频里正在一层一层长出来的，就是它自己设计的香蕉。

这一刻我是真有点惊到了。

Nex-AGI + Computer Use，能力完���超出我预期。

一句话 → Blender → STL → 3D 打印 → 实物。

🔥 这真的有点科幻了。

直接免费体验nex-agi ：
https://t.co/zYNwA5foNI