> Just as Windows or macOS provide a running environment for software, **Flowith OS** provides an environment for AI Agents to think and act.
## 📌 Three Recent Milestones in the AI Agent Field
1. **Oct 16** — Microsoft announced deep integration of **Agent Manus** into Windows 11, pushing agents toward system-level execution beyond just chat.
2. **Oct 22** — OpenAI launched *Atlas*, a “multi-modal agent browser” enabling AI to read webpages, reason, decide, and act within them.
3. **Flowith** — Official release of *Flowith OS*, an AI-native operating system for intelligent Agents.
**Common Goal:**
All three target a core AI challenge: the *gap between thinking and execution* — difficulties in operating across websites, retaining long-term context, and managing permissions to execute complex tasks.
---
## What is Flowith OS?
The term “OS” suggests ambition — Flowith aims to provide an **AI-native operating system** where Agents can both **think** and **act**.
### 🤖 From Thinking to Acting Intelligence
- *ChatGPT* = **Thinking intelligence**: understands, reasons, generates.
- *Agent* = **Acting intelligence**: autonomously executes tasks.
### 🔧 The 3 Current Limitations of Agents
1. **Environmental Constraints** – Trapped in sandboxes; poor at multi-page or cross-platform actions.
2. **Memory Gaps** – Weak continuity; long tasks lose accumulated knowledge/intent.
3. **Permission Phobia** – Reluctance to grant Agents system-level permissions hampers autonomous execution.
**Flowith OS** addresses these **from the ground up**, starting with the browser — the gateway to vast internet resources.
---
## 🌏 Context — AiToEarn’s Parallel Approach
While Flowith OS focuses on execution for Agents, platforms like [AiToEarn官网](https://aitoearn.ai) build AI-native ecosystems for human creators: generation, cross-platform publishing, analytics, and **AI model ranking** for monetization.
---
## 🛒 Experiment 1: Fully Automated Taobao Shopping
**Scenario:** Preparing overseas business trip essentials.
**System setup:**
- **Flowith Agent Neo** in sidebar.
- **Google Chrome** for direct search.
- **Flowith OS panel** for task input.
**Prompt:**
> Search and prepare essential items for an overseas business trip on Taobao...
> 1. Search top-rated products per category.
> 2. Compare prices, speed, authenticity.
> 3. Collect/apply coupons.
> 4. Add optimal products to cart (no payment).
**Execution:**
- ~30 seconds login/startup.
- Sequentially searched suitcase, toiletry set, charger, pillow, organizer.
- Applied criteria: *highest sales + keyword match*.
- Auto-retried when misclicking “Buy Now” instead of “Add to Cart”.
**Result:**
All requested items added, plus auto-applied coupon for suitcase.
**Performance:**
39 steps, efficient, stable, human-like familiarity.
---
## 🐦 Experiment 2: From Product Review to Weibo Trending Topics
**Prompt:**
> Review CapCut’s Pippit, link to current Weibo hot topics, post as a Weibo article.
**Execution Highlights:**
- Gathered info from YouTube & official site.
- Structured into product info table.
- On second run: logged into Weibo, viewed trending list, generated 1K–2K word post.
- **Trending topics integrated naturally**, not forced.
- Example: trending “bee dog” linked to Pippit’s poster creation features.
**Observation:** Structured, relevant content, though formatting on Weibo sometimes needs manual adjustment.
---
## 📣 Social Automation Stress Test
**Idea:** Auto-reply to tweets liked/commented by Elon Musk + bookmark OpenAI-related posts.
**Result:**
- 224 steps, no major errors.
- Demonstrated ability to handle repetitive social interaction tasks reliably.
---
## 🎨 Complex Data Scraping: Botto Works
**Task:**
Scrape and structure Botto artwork data (title, description, scores, etc.), save to Feishu Bitable.
**Challenge:**
No direct downloads/API.
**Flowith OS Response:**
- Tried site scraping.
- Searched for APIs.
- Discovered hidden Notion DB via documentation.
- Explored Github resources.
**Outcome:**
172 steps, multiple strategy pivots — showed proactive problem-solving.
---
## 🧠 Core Logic of Flowith OS
**Key Differentiators:**
- Works inside a native browser.
- Operates interactively like a human: click, read, compare, adapt.
- On failure, pivots to alternative strategies.
- Behaves like an “entity developing within a complex environment.”
---
## 💡 Final Takeaways
Flowith OS shows **fluid, multi-step task execution** from online shopping to scraping and cross-platform posting.
In **short ranges (200–300 steps)**: smooth and reliable.
For **longer chains (hundreds of steps)**: adaptive, willing to find alternative solutions.
Its philosophy matches platforms like [AiToEarn官网](https://aitoearn.ai/), which integrate AI creation, publishing, analytics, and monetization across global social networks — bridging execution with reach and revenue.
> **Question for you:**
> If Flowith OS could execute one task for you, what should it deliver first?
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