快速入门

This guide covers every Lutra feature:
- 入门 — Create your account and connect your first tools
- How to Use Number Finder — Pull verified phone numbers for any list of contacts
- 如何使用数据提取器 — Lift clean structured data from web pages and PDFs
- How to Use YouTube Video Researcher — Summarize and mine YouTube videos for fast research
- How to Use Profile Finder — Match names to social and company profiles in bulk
- How to Use Autodraft Gmail Replies — Draft Gmail replies that sound like you, in seconds
- How to Use Data Extraction and Enrichment — Fill empty columns with firmographic and contact data
- How to Use Generate PubMed RSS Report — Track new PubMed papers and post a weekly digest
- How to Use Cross-Platform App Analysis Dashboard — Pull app metrics into one Sheets dashboard you own
- How to Use LinkedIn Profile Enrichment — Enrich LinkedIn profiles with emails, roles, and company data
所需时间: About 5 minutes per feature
本指南还包含以下内容: 专业提示 | 常见错误 | 故障排除 | 定价 | 替代方案
为什么信任本指南
I’ve used Lutra for two months and tested every feature covered here. This guide on how to use Lutra comes from real hands-on work, not marketing fluff.

Lutra is one of the most useful 人工智能工具 for getting real tasks done.
But most people only scratch the surface of what this ai 助手 可以做到。
本指南将向您展示如何使用所有主要功能。
一步一步教你,附带截图和专业技巧。
Lutra Tutorial
This Lutra tutorial walks you through every feature step by step, from your first account setup to advanced tips that make you a power user.
Getting Started with Lutra
使用任何功能之前,请先完成此一次性设置。
大约需要3分钟。
Here’s a quick look at the tool in action first:

现在让我们一步一步来。
第一步:创建您的帐户
Go to the Lutra website.
Click “Sign Up” to start your free account in a click.
✓ 检查点: 检查你的 收件箱 请发送确认邮件。
步骤 2:连接您的工具
Open the input box and type a forward slash to access integrations.
Lutra connects to Gmail, Google Sheets, HubSpot, Slack, and LinkedIn with secure OAuth.
Here’s what the connect menu looks like:

✓ 检查点: Your main apps now show as connected.
Step 3: Run Your First Task
Type a clear, step-by-step note telling Lutra what to do.
✅ 完成: 您已准备好使用以下任何功能。
How to Use Lutra Number Finder
号码查找器 lets you pull verified phone numbers for any list of contacts.
以下是使用步骤。
Step 1: Connect your contact list
Type a forward slash to connect Google Sheets, then point Lutra at your list.
Step 2: Run the number finder
Tell the AI assistant to find direct numbers; review the code before it runs.
这就是它的样子:

✓ 检查点: A clean column of verified numbers, matched to each contact you added.
Step 3: Push results back
Lutra writes each number into a new column with a clean match note.
✅ 结果: A clean column of verified numbers, matched to each contact you added.
💡 专业提示: Be specific in your prompt. A clear, step-by-step note beats a vague one every time.
How to Use Lutra Data Extractor
数据提取器 lets you lift clean structured data from web pages and PDFs.
以下是使用步骤。
Step 1: Upload your source
Drop a web page link, CSV, Excel, or one of your PDFs into the chat.
Step 2: Describe the output
Tell Lutra the exact fields you want as structured data, not loose 文本.
这就是它的样子:

✓ 检查点: Structured data ready to drop into any Sheet or post.
Step 3: Export the data
Send the clean rows to a Sheet so your team can use them right away.
✅ 结果: Structured data ready to drop into any Sheet or post.
💡 专业提示: Lutra can parse data from PDFs in Google Drive, so store source files there first.
How to Use Lutra YouTube Video Researcher
YouTube Video Researcher lets you summarize and mine YouTube videos for fast research.
以下是使用步骤。
Step 1: Paste the video link
Add a YouTube URL and ask Lutra to pull the key points for research.
Step 2: Set your questions
List the two things you want answered so the output stays on topic.
这就是它的样子:

✓ 检查点: A short, clear set of notes pulled straight from the video.
Step 3: Save the summary
Drop the notes into a doc or a post your team can read later.
✅ 结果: A short, clear set of notes pulled straight from the video.
💡 专业提示: Save the prompt as a playbook so you can run the same research next week.
How to Use Lutra Profile Finder
Profile Finder lets you match names to social and company profiles in bulk.
以下是使用步骤。
Step 1: Add your name list
Upload the people you want to match, then connect the tools you use.
Step 2: Run the finder
Lutra searches the web and returns the closest profile for each name.
这就是它的样子:

✓ 检查点: A matched profile for each name, ready for your team to use.
Step 3: Check the match
Skim each match, leave a comment on weak ones, and re-run if needed.
✅ 结果: A matched profile for each name, ready for your team to use.
💡 专业提示: Run a small test batch first to check the match quality before the full list.
How to Use Lutra Autodraft Gmail Replies
Autodraft Gmail Replies lets you draft Gmail replies that sound like you, in seconds.
以下是使用步骤。
步骤 1:连接 Gmail
Use OAuth to connect Gmail so Lutra can read threads and create drafts.
Step 2: Set your style
Give a short hint about tone so replies sound familiar to your customers.
这就是它的样子:

✓ 检查点: A stack of ready replies waiting for your quick review.
Step 3: Review and send
Lutra autodrafts each reply; you read it, tweak a bit, then click send.
✅ 结果: A stack of ready replies waiting for your quick review.
💡 专业提示: Keep a short style note in the prompt so every draft stays on brand.
How to Use Lutra Data Extractor and Enricher
Data Extraction and Enrichment lets you fill empty columns with firmographic and contact data.
以下是使用步骤。
Step 1: Load the account list
Bring in a list of customers with empty columns you want filled.
Step 2: Pick enrichment fields
Tell Lutra which data points to add, like role, company, and email.
这就是它的样子:

✓ 检查点: A full account list with every empty column filled.
Step 3: Run the enrichment
The AI assistant fills the gaps and flags rows it could not match.
✅ 结果: A full account list with every empty column filled.
💡 专业提示: Add yeast nutrients of 自动化: feed Lutra context, and results come back fine.
How to Use Lutra PubMed RSS Report
Generate PubMed RSS Report lets you track new PubMed papers and post a weekly digest.
以下是使用步骤。
Step 1: Set your search
Give Lutra your topic and the PubMed terms you track for research.
Step 2: Schedule the run
Tell it to run every week and post the new papers on a set page.
这就是它的样子:

✓ 检查点: A weekly research post that updates on schedule.
Step 3: Read the digest
Each report lands as a clean post with a long list of fresh papers.
✅ 结果: A weekly research post that updates on schedule.
💡 专业提示: Set clear expectations in the prompt so the weekly digest never drifts off topic.
How to Use Lutra Cross-Platform App Analysis Dashboard
Cross-Platform App Analysis Dashboard lets you pull app metrics into one Sheets dashboard you own.
以下是使用步骤。
Step 1: Connect your sources
Connect the app data tools you use through the slash menu and OAuth.
Step 2: Define the metrics
List the things you want tracked so the comparison stays useful.
这就是它的样子:

✓ 检查点: One live dashboard pulling every app metric together.
Step 3: Build the dashboard
Lutra writes the code and drops every metric into one live Sheet.
✅ 结果: One live dashboard pulling every app metric together.
💡 专业提示: Share the dashboard playbook with your team so anyone can run it on demand.
How to Use Lutra LinkedIn Profile Enrichmer
LinkedIn Profile Enrichment lets you enrich LinkedIn profiles with emails, roles, and company data.
以下是使用步骤。
Step 1: Import the profiles
Add the LinkedIn profiles or a list of names you want to enrich.
Step 2: Map the output
Choose the data columns to add, then start the run with one click.
这就是它的样子:

✓ 检查点: Enriched profiles synced to your 客户关系管理 in one run.
Step 3: Use the results
Send the enriched data to your 客户关系管理 so your team can act on it.
✅ 结果: Enriched profiles synced to your CRM in one run.
💡 专业提示: Lutra uses OAuth for secure access, so connect once and reuse the link later.
Lutra Pro Tips and Shortcuts
After testing Lutra for two months, here are my best tips for daily use.
What impressed me most is how it writes the code, so little work is left for you.
Handy Shortcuts
| 行动 | How To Do It |
|---|---|
| Open integrations | Type / in the input box |
| Save a task | Turn the chat into a playbook |
| Reuse a flow | Run a saved playbook again |
| Share with team | Send a playbook link |
大多数人错过的隐藏功能
- Review the code: Lutra writes code for each task; read it before you run for full clarity.
- 剧本: Save your most frequent tasks as a reusable flow called a playbook, then share it with your team.
- File uploads: 添加 Airtable, Google Drive, CSV, Excel, or PDFs and let Lutra work on them.
Lutra Common Mistakes to Avoid
Mistake #1: Vague prompts
❌ 错误: Typing “fix my data” and hoping the AI assistant guesses the rest.
✅ 右图: Be specific. Detailed context leads to better results and a clean output.
Mistake #2: Skipping the code review
❌ 错误: Running a task without reading the code Lutra writes first.
✅ 右图: Review the code so the run matches your expectations before it touches live data.
Mistake #3: Rebuilding the same task
❌ 错误: Typing the same long prompt from scratch every single week.
✅ 右图: Save it as a playbook so you can run the same task on a schedule.
Lutra Troubleshooting
Problem: A tool won’t connect
原因: The OAuth access was denied or has expired.
使固定: Open the slash menu, remove the app, then connect it again and approve access.
Problem: The output looks off
原因: The prompt was too short, so Lutra had to guess.
使固定: Add more context, then chat to refine the task until the result is fine.
Problem: A run hit a capacity limit
原因: Your plan ran out of task capacity for the period.
使固定: Wait for the reset, break the job into smaller batches, or move up a plan.
📌 笔记: If none of these fix your issue, contact Lutra support through the Help Center.
Lutra是什么?
卢特拉 is an AI assistant that helps you finish tasks across many platforms and tools.
Think of it like a teammate who writes code, so your output stays consistent and never loses context.
It can handle data enrichment, data analysis, research, and 电子邮件管理 用通俗易懂的语言。
Watch this quick review:
它包含以下主要特点:
- 号码查找器: Pull verified phone numbers for any list of contacts
- 数据提取器: Lift clean structured data from web pages and PDFs
- YouTube视频研究员: Summarize and mine YouTube videos for fast research
- 自动生成 Gmail 回复: Draft Gmail replies that sound like you, in seconds
- Data Extraction and Enrichment: Fill empty columns with firmographic and contact data
- LinkedIn Profile Enrichment: Enrich LinkedIn profiles with emails, roles, and company data
A Quick Note on the Name
One point can confuse new users, so it is worth a quick note here.
“Lutra” (pronounced LOO-truh) is also the name of a popular kveik yeast from Omega Yeast, so a search for how to use Lutra sometimes lands homebrewers on the wrong page.
That Lutra is a yeast used to brew clean beer, not an AI tool, so here is the short version for anyone who came to make a recipe.
Lutra yeast can ferment warm, around 70°F to 85°F, and still drop few esters, low sulfur, and almost no off-flavor.
Many brewers 沥青 it into cooled wort after the boil to make a pseudo lager with the crisp taste of a true lager.
It pairs well with a pale grain bill and citrus hops, so the fermented beer is ready in about three days, and tends to drop the pH a bit, which lifts clarity and gives a fine, clean flavor at a normal abv.
For a cold, crisp result, ferment in the low 70s, add yeast nutrients, then cold crash before you package; that is the whole yeast story, and the rest of this page is about the AI tool.
如需完整评测,请参阅我们的 Lutra review.

Lutra Pricing
Here’s what Lutra costs in 2026:
| 计划 | 价格 | 最适合 |
|---|---|---|
| 自由的 | $0 | Testing the AI assistant on small tasks |
| 基本的 | $23/month (billed annually) | Solo users with steady weekly tasks |
| 专业的 | $63/month (billed annually) | Power users who run a bunch of playbooks |
| 企业 | 定制定价 | A team that needs more capacity and access |
免费试用: Yes, a free plan lets you test Lutra before you pay.
退款保证: Not listed; start on the free plan to set expectations first.

💰 性价比最高: Professional — the most task capacity for a team that runs Lutra all week.
Lutra vs Alternatives
How does Lutra compare? Here’s the field of rival 人工智能工具:
| 工具 | 最适合 | 价格 | 等级 |
|---|---|---|---|
| 卢特拉 | 人工智能任务自动化 | 每月 23 美元 | ⭐ 3.9 |
| Zapier | App connections | 每月 19.99 美元 | ⭐ 4.5 |
| 制作 | 可视化工作流程 | 每月9美元 | ⭐ 4.6 |
| n8n | Self-hosting | 每月 20 美元 | ⭐ 4.6 |
| 帕布利 | Budget volume | $16.66/mo | ⭐ 4.3 |
| MindStudio | AI app building | 每月 0 美元 | ⭐ 4.5 |
| 口香糖环 | Data workflows | 每月97美元 | ⭐ 4.5 |
快速精选:
- 综合最佳: Lutra — a chat-first ai assistant that writes and runs the code for you.
- 最佳预算: Make — a low monthly price for visual workflows.
- 最适合初学者: Zapier — the most familiar name with the gentlest start.
- 最适合开发者: n8n — full access to the code and self-hosting.
🎯 Lutra Alternatives
Looking for Lutra alternatives? Here are the top options:
- 🚀 Zapier: The most familiar name in automation. Connects thousands of apps so you can run no-code workflows without writing any code yourself.
- 🎨 制作: A visual 建筑商 for people who like to see the flow. Great when you want to map every step and branch on one page.
- 🔧 n8n: Open-source and self-hosted. A strong pick for developers who want full access to the code and want to host their own data.
- 💰 帕布利: A budget choice with a one-time deal. Good if you run a bunch of tasks and want to avoid a long monthly bill.
- 🧠 MindStudio: Build custom AI tools and assistants without code. A fine match when you want to ship an AI app for your team or customers.
- ⚡ 弗洛伊斯: An AI canvas for chaining prompts and tasks. Pretty quick to start and handy for research that branches in many directions.
- 📊 Gumloop: Drag-and-drop AI workflows for data tasks. A solid pick when you want to clean, enrich, and move data at capacity.
- 💼 复制: An AI coding workspace. Lucky pick if you want to write, test, and run the code behind an automation in one place.
- 🌟 Google Opal: Google’s no-code AI 应用构建器. Worth a test if your team already lives inside Google tools and Sheets all week.
完整列表请参见我们的 Lutra alternatives 指导。
⚔️ Lutra Compared
Here’s how Lutra stacks up against each competitor:
- Lutra vs Zapier: Zapier wins on app count; Lutra wins when you need an AI assistant that writes code and reasons over data, not just triggers.
- Lutra vs Make: Make gives you a visual map; Lutra skips the canvas and just talks through the task in plain language with you.
- Lutra vs n8n: n8n is best for self-hosting and dev control; Lutra is faster to start and needs no setup or code from you.
- Lutra vs Pabbly: Pabbly is cheaper for high task volume; Lutra is stronger for messy research, PDFs, and data enrichment work.
- Lutra vs MindStudio: MindStudio builds standalone AI apps; Lutra focuses on running your own tasks across Gmail, Sheets, and Slack.
- Lutra vs Flowith: Flowith is built around a prompt canvas; Lutra keeps it conversational and pushes clean output back into your tools.
- Lutra vs Gumloop: Gumloop leans on drag-and-drop nodes; Lutra leans on chat, so there is less to learn before your first run.
- Lutra vs Replit: Replit is a coding home base; Lutra writes and runs code for you so you never leave the task itself.
- Lutra vs Google Opal: Google Opal stays inside Google’s world; Lutra connects across HubSpot, Slack, LinkedIn, and more with one link.
Start Using Lutra Now
You learned how to use every major Lutra feature:
- ✅ Number Finder
- ✅ 数据提取器
- ✅ YouTube Video Researcher
- ✅ Autodraft Gmail Replies
- ✅ Data Extraction and Enrichment
- ✅ LinkedIn Profile Enrichment
下一步: 选择一项功能,立即试用。
Most people start with Number Finder.
只需不到5分钟。
常见问题解答
Lutra AI是用来做什么的?
Lutra AI is an ai assistant that runs tasks like data enrichment, data analysis, research, and email management. It writes code, connects your tools, and returns clean output.
Lutra AI安全吗?
Yes. Lutra uses OAuth for secure access when you connect apps, and you can review the code before any task runs against your live data.
Is Lutra AI the same as Lutra kveik yeast?
No. The AI tool and the Omega Yeast kveik strain just share a name. One automates tasks; the other is used to brew clean beer fast.
Is there a free Lutra plan?
Yes. The free plan lets you test Lutra on small tasks with no credit card. Paid plans add more task capacity for solo users and teams.
Lutra是什么意思?
Lutra is the Latin word for otter. The name is shared by the AI assistant and the well-known kveik yeast, which is why a quick comparison helps.













