使用案例
您的 AI 代理 能做什麼？
從研究到自動化，代理處理真實世界的任務——24小時不間斷。
處理重複任務24/7 在線5 個頂級模型
生產力
6 個
研究
生產力所有方案深入研究，即時完成
您的代理搜尋網路、閱讀文章，提供結構化的研究簡報。
- →“描述您的研究主題。”
- →“代理搜尋多個來源並彙整資訊。”
- →“取得附有引用的結構化報告。”
- →“通常需要數天的工作在數小時內完成。”
學生分析師記者創業者
Summarize the most important AI news from this week.
Here's your weekly AI digest:
**1. OpenAI launches real-time voice API**
Developers can now stream bi-directional audio with sub-300ms latency, unlocking new conversational app categories.
**2. Anthropic's Claude 4 hits benchmarks**
New model scores 94.2% on MMLU, surpassing GPT-4o on reasoning tasks in independent evals.
**3. Google DeepMind open-sources Gemma 3**
A 7B parameter model matching much larger closed models, available for commercial use.
_3 more stories available — ask me for the full digest._
數據分析
生產力所有方案無需程式碼的數據洞察
貼上試算表或 CSV，代理立即分析並呈現圖表與關鍵發現。
- →“貼上 CSV 資料。”
- →“偵測模式與趨勢。”
- →“取得圖表與摘要。”
- →“無需 SQL 或 Excel 技能。”
行銷人員業務代表創業者投資人
Q4 revenue by product: Starter $12k, Personal $48k, Pro $134k. What stands out?
**Q4 Revenue Analysis**
📊 Total: $194k across 3 tiers
**Key observations:**
• **Pro is your sweet spot** — 69% of revenue with likely the best LTV/acquisition ratio.
• **Personal is the growth engine** — at $48k, it's your primary upgrade path from Starter.
• **Starter anchors the funnel** — $12k signals healthy top-of-funnel.
**Recommendation:** Prioritize Personal → Pro upgrades with targeted outreach.
寫作
生產力所有方案從想法到草稿，瞬間完成
為任何受眾或平台生成精煉的內容。
- →“描述您想要的內容。”
- →“代理起草完整內容。”
- →“反覆改進。”
- →“取得可直接發布的內容。”
創辦人行銷人員開發者經理
Draft an email to reschedule tomorrow's client meeting. Keep it brief and apologetic.
**Subject: Request to Reschedule Tomorrow's Meeting**
Hi [Name],
I hope you're well. I'm very sorry for the short notice, but I need to reschedule our meeting tomorrow due to an unexpected conflict.
Would **Thursday at 2pm** or **Friday morning** work for you?
Again, I apologize for any inconvenience.
Best,
[Your Name]
內容策略
生產力所有方案維持一致的內容日曆
建立內容日曆並生成發佈想法。
- →“定義平台和受眾。”
- →“取得內容日曆和想法。”
- →“草擬貼文和文章。”
- →“維持一致的發佈節奏。”
行銷人員創作者社群經理
Create a 2-week LinkedIn content calendar for an indie developer building in public.
**2-Week LinkedIn Calendar — Indie Dev**
**Week 1:**
• Mon — "Why I quit my job to build [product]"
• Wed — Behind-the-scenes: tech stack walkthrough
• Fri — Week 1 metrics
**Week 2:**
• Mon — Unexpected lesson learned
• Wed — Feature spotlight: show don't tell
• Fri — "Here's what I'd do differently"
每日簡報
生產力所有方案每日簡報，無需等待
設定定時任務，讓代理每天自動發送更新。
- →“設定每日觸發器。”
- →“代理收集資訊。”
- →“發送格式化的簡報。”
- →“從不錯過更新。”
CEO經理投資人
Every weekday morning at 8am, send me a 3-point briefing: weather, one AI news headline, and a productivity tip.
✅ **Recurring task created!**
**Schedule:** Mon–Fri at 8:00 AM
**Delivery:** Telegram (connected)
_Your first real briefing delivers at 8am tomorrow._
會議準備
生產力所有方案永遠為會議做好準備
從會議邀請自動生成議程和討論要點。
- →“代理分析邀請函。”
- →“取得議程和討論要點。”
- →“背景資訊被彙整。”
- →“始終準備就緒。”
經理業務人資創辦人
Prepare an agenda for a 45-minute Q1 product review with my team.
**Q1 Product Review — Agenda**
📅 45 minutes
**1. Q1 Metrics** _(10 min)_
→ DAU, MAU, churn, NPS
**2. Feature Performance** _(12 min)_
→ What shipped, what underperformed
**3. Q2 Roadmap** _(15 min)_
→ Top 3 priorities
**4. Process Retro** _(5 min)_
→ What slowed us down
**5. Action Items** _(3 min)_
自動化
3 個
監控
自動化所有方案您的數位哨兵
設定價格變化、新聞提及或競爭者更新的警報。
- →“定義監控目標。”
- →“代理定期檢查來源。”
- →“匹配時發送警報。”
- →“不錯過重要訊號。”
投資人電商研究員求職者
Monitor Hacker News daily for posts about 'personal AI' or 'AI agent' that get over 150 points.
🔔 **Monitor activated!**
**Source:** Hacker News
**Keywords:** "personal AI", "AI agent"
**Trigger:** Score ≥ 150 points
_Monitoring started. I'll ping you the moment a qualifying post appears._
收件匣管理
自動化所有方案不動手指清空收件匣
代理處理郵件分類並草擬回覆。
- →“代理檢查收件匣。”
- →“按優先級分類。”
- →“為重要郵件草擬回覆。”
- →“節省數小時手動整理。”
創辦人經理自由工作者求職者
Summarize my unread emails from today and flag anything urgent.
📬 **Today's Inbox Summary** — 18 unread
🔴 **Urgent (3)**
• Contract renewal deadline Friday
• Invoice #3847 overdue
• Production bug affecting 12%
📌 **Action needed (5)**
• Enterprise prospect call request
• Design feedback (due Thursday)
📩 **FYI (10)**
• GitHub notifications, newsletters
_Want me to draft replies?_
程式碼助理
自動化所有方案您的程式設計夥伴
除錯函數、編寫測試和審查程式碼。
- →“貼上程式碼片段。”
- →“取得說明和修復建議。”
- →“解釋這個正則表達式的含義： ^(?=.*[A-Z])(?=.*\\d).[8,]$”
- →“縮短程式碼審查時間。”
開發者學生技術主管
My calculate_discount() function always returns None. Here's the code: def calculate_discount(price, pct): discount = price * (pct / 100)
Found it! The function is missing a `return` statement.
```python
# ❌ Before
def calculate_discount(price, pct):
discount = price * (pct / 100)
# ✅ After
def calculate_discount(price, pct):
return price * (pct / 100)
```
Classic gotcha!