How to Use Bland AI Tutorial: Learn Every Feature in 2026

快速入门

This guide covers all Bland AI features:

• 入门 — 创建账户和基本设置
• 如何使用人工智能电话 — Send your first AI-powered outbound call in minutes
• How to Use AI Conversational Pathways — Map every call flow visually with nodes
• How to Use AI Receptionists — Answer every inbound call around the clock
• How to Use Custom AI SMS — Text customers using your calling agent
• How to Use Custom Trained Models — Tune your agent on real call data
• How to Use AI Auto Scheduler — Book appointments while callers stay on the line
• 如何使用人工智能代理 — Build one persona and deploy it everywhere
• How to Use AI Advanced Integrations — Sync every call with your CRM and apps
• How to Use AI Chatbots — Add voice and web chat to your website

所需时间： 每部影片 5 分钟

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 Bland AI for several months and tested every feature covered here. This tutorial comes from real hands-on experience — not marketing fluff or vendor screenshots.

Bland AI is one of the most powerful voice 人工智能工具 今天即可购买。

但大多数用户仅仅触及了它功能的冰山一角。

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。

Bland AI Tutorial

This tutorial shows you how to use Bland AI, one step at a time.

It runs from first setup to power-user tips.

Getting Started with Bland AI

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。

请先观看这段简短的概述：

现在让我们一步一步来。

第一步：创建您的帐户

Go to Bland AI’s website.

Click “Sign Up” to create a free Start account.

Enter your email and verify it.

✓ 检查点： 检查你的 收件箱 请发送确认邮件。

步骤二：下载或访问应用程序

Bland AI runs in your browser, so there’s nothing to download.

Developers can also install the Bland CLI through npm.

使用您的新帐户登录。

Here’s a snapshot of what Bland AI brings to your workflow:

✓ 检查点： 你应该能看到主控制面板。

步骤 3：完成初始设置

Add credits in Billing, then copy your API key from Settings.

Buy a phone number or connect your own Twilio account.

How to Use Bland AI Phone Calls

人工智能电话 lets you send outbound phone calls handled by an AI phone agent.

以下是使用步骤。

Step 1: Open Send Call

Click Send Call in the left sidebar of Bland’s platform.

Enter the number you want to reach, including the country code.

Step 2: Write the Task

Describe the call goal in the task box.

Keep it short: who the agent is, what it needs, and when to hang up.

Pick a library voice, or use voice cloning for your brand voice.

这就是它的样子：

✓ 检查点： Your number, task, and voice fields are all filled in.

步骤 3：发送和审核

Click Send Call and answer to hear the AI voice live.

Each call lands in call logs with a recording and transcript.

For sales calls at volume, upload a CSV to Batch Calls instead.

How to Use Bland AI Conversational Pathways

AI Conversational Pathways lets you map call flows visually using nodes and pathways.

以下是使用步骤。

Step 1: Create a Pathway

Open Conversational Pathways and click Create Pathway.

Prompt engineering tools like Norm, Bland’s AI 助手, can draft paths for you.

Step 2: Add and Connect Nodes

Drag in Default, Knowledge Base, Transfer, and End Call nodes.

Each node should represent one focused conversational task.

Link nodes with labeled pathways that explain when to move forward.

这就是它的样子：

✓ 检查点： Your nodes sit on the canvas, linked by labeled pathways.

Step 3: Test the Flow

Click Test Pathway and chat with the agent before any live calls.

Rewrite any node where the conversation flow feels forced.

Short, focused nodes keep natural conversations on track.

How to Use Bland AI Receptionists

AI Receptionists lets you answer every inbound call without hiring more human agents.

以下是使用步骤。

Step 1: Get a Phone Number

Go to Phone Numbers and buy a local number for $15 per month.

Choose BYOC support number provisioning if you already own Twilio numbers.

Step 2: Attach Your Agent

Select the number and attach a pathway, persona, or prompt.

Add a Transfer node for moments that need human intervention.

这就是它的样子：

✓ 检查点： The number now lists your agent as its inbound call handler.

Step 3: Call It Yourself

Dial the number and ask about hours, pricing, and technical support.

Test in real-world scenarios, like a noisy café, not just a quiet office.

How to Use Bland AI Custom SMS

Custom AI SMS lets the same agent 文本 customers before, during, or after calls.

以下是使用步骤。

Step 1: Enable Messaging

Open Messaging and turn on SMS for one of your numbers.

US numbers need A2P registration before texts can go out.

Step 2: Pick the Agent

Attach the same pathway or persona you use for voice.

Bland supports omnichannel conversations across voice and SMS.

这就是它的样子：

✓ 检查点： Your number shows SMS as active with an agent attached.

Step 3: Turn On Memory

Enable memory so the agent can maintain context across calls and texts.

Memory stores conversation context, like past orders or open issues.

How to Use Bland AI Custom Trained Models

Custom Trained Models lets you tune agents on your own real call 数据.

以下是使用步骤。

Step 1: Gather Real Calls

Pull strong and weak examples from your call logs.

Mark where the agent answered well and where it stumbled.

Step 2: Add Training Examples

Open a node and add example dialogues showing the ideal reply.

Use Testbed to rerun those prompts against real call data.

这就是它的样子：

✓ 检查点： The node lists your examples and passes Testbed checks.

Step 3: Talk to the Bland Team

For fully custom models, contact the Bland team about Enterprise.

Enterprise adds dedicated infrastructure and self-hosted options for regulated industries.

How to Use Bland AI Auto Scheduler

AI Auto 调度程序 lets your agent book appointments while callers stay on the line.

以下是使用步骤。

第一步：连接您的日历

Go to Tools and add the Cal.com integration.

Store your API key in Secrets instead of pasting it into prompts.

Step 2: Add a Scheduling Step

Insert a Scheduling node, or attach the calendar tool to a Default node.

Extract the date, time, and caller name as variables before booking.

这就是它的样子：

✓ 检查点： The node shows your calendar tool and three extracted variables.

Step 3: Confirm the Booking

Have the agent read the time back before it books.

Then send an SMS confirmation, so people who schedule appointments actually show up.

How to Use Bland AI Agents

人工智能代理 lets you build custom voice agents as one reusable persona.

以下是使用步骤。

Step 1: Create a Persona

Open Personas and click Create Persona.

Give it a name, a role, and a clear objective.

A clear objective makes every workflow easier to structure.

Step 2: Set Voice and Knowledge

Choose a voice, or clone one for realistic conversations in your brand voice.

Attach knowledge bases for facts, which improves response accuracy.

For heavy data, connect external vector stores to improve retrieval.

这就是它的样子：

✓ 检查点： Your persona shows a voice, a prompt, and linked knowledge bases.

Step 3: Promote to Production

Attach phone numbers, then promote the draft version to production.

Now your Bland agents run the same way on every attached number.

How to Use Bland AI Advanced Integrations

AI Advanced Integrations lets your agent read and update external systems during live calls.

以下是使用步骤。

Step 1: Pick an Integration

Open Tools and choose a built-in integration like HubSpot, Salesforce, or Slack.

Step 2: Add Custom Tools

For existing systems without a built-in option, build custom tools with any HTTP endpoint.

Webhooks pull real-time data, like customer records, into the conversation.

这就是它的样子：

✓ 检查点： The tool shows a successful test response with sample data.

Step 3: Sync After the Call

Add a post-call webhook to push transcripts and outcomes to your 客户关系管理.

Your sales team sees every call without manual data entry.

How to Use Bland AI Chatbots

AI Chatbots lets you put a Bland AI agent in web chat on your site.

以下是使用步骤。

Step 1: Create a Widget

Open Web Widget and click Create Widget.

Pick the pathway or persona that should power the chat.

Step 2: Style and Embed

Match the widget colors to your brand.

Copy the embed snippet and paste it into your site’s code.

这就是它的样子：

✓ 检查点： The chat bubble appears on your site’s test page.

Step 3: Review Threads

Check widget threads daily to spot confused customer conversations.

Send a live agent message when a visitor needs a real person.

Bland AI Pro Tips and Shortcuts

After testing Bland AI for several months, here are my best tips.

Bland AI performs best when you treat it like software, not a chatbot.

键盘快捷键

Bland has few dashboard hotkeys, so these CLI commands are the real shortcuts.

行动	捷径
Search the docs	Ctrl + K (⌘ + K on 苹果)
Send a test call	bland call send +15551234567
Chat-test a pathway	bland pathway chat <id>
Buy a phone number	bland number buy –area-code 415

大多数人错过的隐藏功能

• Norm: Bland’s 人工智能助手 builds, tests, and debugs agents from a plain-English prompt. It’s the fastest way past a blank canvas.
• Scenarios: Run automated testing scenarios after every update, before changes reach production agents. Regular testing helps you find and fix conversational issues 早期的.
• Pathway Versions: Save two versions and A/B test different pathway structures on real calls. Keep whichever one books more meetings.

Bland AI Common Mistakes to Avoid

错误一：编写模糊的提示语

Mistake #2: Skipping Failure Paths

Mistake #3: Tracking Minutes Instead of Results

Bland AI Troubleshooting

Problem: Awkward Pauses or Cut-Offs

原因： Heavy variable extraction creates awkward pauses, and minor background noise triggers interruptions.

使固定： Adjust interruption thresholds in Agent Speech so the AI responds at the right moment.

Problem: Failed Calls

原因： Wrong number formats, blocked numbers, or low credits usually cause failed calls.

使固定： Use full country codes, check Blocked Numbers, and top up credits in Billing.

Problem: Agent Skips Steps

原因： Loose pathway labels let the agent move on before collecting needed details.

使固定： Add detailed condition descriptions, then rerun your test scenarios after each change.

📌 笔记： If none of these fix your issue, contact Bland AI support.

什么是Bland AI？

平庸的人工智能 is a phone 自动化 tool that builds AI voice agents for businesses.

Think of it like a call center rep who never sleeps and follows your script.

It automates customer interactions across phone, SMS, and web chat.

观看这段快速概览：

Here’s how Bland AI works.

Speech-to-text hears the caller, the model decides, and text-to-speech replies.

Bland owns that whole voice stack, which is a major advantage for control.

Its average latency is around 800ms, which still counts as sub-second latency.

That real-time response speed keeps replies close to natural human speech.

Global nodes and memory also support dynamic conversations that don’t feel scripted.

Bland AI handles over 1.3 billion calls a year across many industries.

Strong AI voice agents need managed context windows and 自动化 工具。

They also need fluid conversational pathways, which Bland lets you build visually.

Bland AI offers these key features:

• 人工智能电话： Send outbound calls with a custom task, voice, and phone number
• AI Conversational Pathways: Visual flowchart 建筑商 for branching call logic
• AI Receptionists: 24/7 inbound call handling with smart transfers
• Custom AI SMS: Two-way texting powered by your voice agent logic
• Custom Trained Models: Agents trained on your own examples and transcripts
• AI Auto Scheduler: Appointment booking that syncs with your calendar
• 人工智能代理： Reusable personas with voice, prompt, and knowledge built in
• AI Advanced Integrations: CRM, calendar, Slack, and webhook connections
• AI Chatbots: Website chat and voice widget powered by your agent

It isn’t perfect, though.

Users report a steep learning curve, and some describe the 声音 as robotic.

It needs strong technical resources, and setup often takes about 8 weeks.

That makes it less practical for non-technical teams.

如需完整评测，请参阅我们的 Bland AI review.

平淡的人工智能定价

Here’s what Bland AI costs in 2026:

计划	价格	最适合
开始	自由的	Testing agents and small pilots
建造	$299	Growing teams running daily call campaigns
规模	$499	High-volume teams moving toward full enterprise readiness

Plan fees don’t include call minutes, which are billed on top.

Commonly cited rates are $0.09 per outbound minute and $0.04 per inbound minute.

Rates now vary by plan, so check Bland’s billing page before you budget.

Voice cloning can add another $200–$300 per month.

免费试用： Yes — the Start plan is free to join and includes starter credits.

退款保证： None advertised.

💰 性价比最高： Build — it unlocks lower per-minute rates without Scale’s higher fee.

平庸的人工智能与替代方案

How does Bland AI compare? Here’s the competitive landscape:

观看这段对比视频：

Here’s how the top options stack up side by side:

工具	最适合	价格	等级
平庸的人工智能	High-volume enterprise calls	Free–$499/mo	⭐ 4.0
重述人工智能	Low latency and natural 声音	每分钟 0.07 美元起	⭐ 4.5
Synthflow	无代码语音代理	初始费用为 0 美元	⭐ 4.2
瓦皮	Developer flexibility	每分钟 0.05 美元起	⭐ 4.3
林迪	Simple AI agents	Free–$49.99/mo	⭐ 4.4
Outcraft AI	Revenue workflows	风俗	⭐ 4.0
ElevenLabs	Voice realism	每月 5 美元起	⭐ 4.7
Vonage	Existing telecom users	风俗	⭐ 4.0

快速精选：

• 综合最佳： Retell AI — lower latency and more natural voices
• 最佳预算： Synthflow — $0 to start with usage-based billing
• 最适合初学者： Lindy — far simpler setup than Bland AI
• Best for high call volume: Bland AI — massive scale with full pathway control

🎯 平庸的人工智能替代方案

Looking for Bland AI alternatives? Here are the top options:

• 🚀 重述人工智能： Offers lower latency and more natural-sounding voices than Bland AI. Users report 17% higher conversion rates, which matters for sales calls.
• 💰 合成流程： Provides a visual flow designer for easier agent deployment. Its no-code builder and $0 start suit non-technical teams on a budget.
• 🔧 瓦皮： A developer-first voice AI API with flexible model choices. Great when you want to swap speech and language providers freely.
• 👶 林迪舞： A simpler alternative to Bland AI for general AI agents. Set up phone and email workflows without writing code.
• 💼 Outcraft AI: Automates revenue workflows beyond customer conversations. A good fit when calls are only one part of your sales process.
• 🎨 ElevenLabs： Known for top-tier AI voice quality and voice cloning. Its agent platform suits teams that care most about sound.
• 🏢 Vonage： An established telecom brand with AI call routing and global numbers. Best for companies already running on Vonage phone lines.

完整列表请参见我们的 Bland AI alternative 指导。

⚔️ 平庸的人工智能对比

Here’s how Bland AI stacks up against each competitor:

• 平淡型人工智能 vs 复述型人工智能： Retell wins on low latency and voice quality. Bland wins on pathway control and huge call volume.
• Bland AI 对比 Synthflow： Synthflow is easier for beginners. Bland gives developers deeper control over branching logic and integrations.
• Bland AI 对阵 Vapi： Vapi offers more model flexibility. Bland wins with its own voice stack and less vendor juggling.
• Bland AI 对阵 Lindy： Lindy wins for simple automations across apps. Bland wins for dedicated, high-volume phone work.
• Bland AI vs Outcraft AI: Outcraft covers wider revenue tasks. Bland wins when phone calls are the core job.
• Bland AI vs ElevenLabs: ElevenLabs wins on voice realism. Bland wins on telephony, call routing, and pathway depth.
• Bland AI vs Vonage: Vonage basic analytics suit simple call routing. Bland wins for smart agents and detailed call logs.

Start Using Bland AI Now

You learned how to use every major Bland AI feature:

• ✅ AI电话
• ✅ AI Conversational Pathways
• ✅ AI Receptionists
• ✅ Custom AI SMS
• ✅ Custom Trained Models
• ✅ AI Auto Scheduler
• ✅ 人工智能代理
• ✅ AI Advanced Integrations
• ✅ AI Chatbots

下一步： 选择一项功能，立即试用。

Most people start with AI Phone Calls.

只需不到5分钟。

常见问题解答

什么是Bland AI？

Bland AI is a voice AI platform for building AI phone agents. It handles inbound and outbound calls, SMS, and web chat using conversational pathways.

How good is Bland AI?

Bland AI is strong for high-volume calls and detailed call flow control. However, users mention a steep learning curve and voices that can sound robotic.

How much does Bland AI cost?

Start is free, Build costs $299, and Scale costs $499. Call minutes, phone numbers, and add-ons are billed separately.

Is Bland AI safe?

Yes, for most businesses. Bland holds SOC 2 Type II, HIPAA, GDPR, and PCI DSS certifications. Self-hosted options add strict internal data controls for regulated industries.

What are some alternatives to Bland AI?

Top alternatives include Retell AI, Synthflow, Vapi, Lindy, Outcraft AI, ElevenLabs, and Vonage. Retell AI offers lower latency, while Lindy is simpler for beginners.