Activechat Manual
  • What is Activechat?
  • New? Start here
    • The basics
    • Set up your first project
    • Install the chat widget
    • Upload the knowledge
    • Explore the CRM
    • AI-assisted live chat
      • How to set context for AI hints
    • Live chat mobile app
    • Build your first automation
  • Conversational AI
    • For Customer Service Teams
    • For Product Managers
    • For Innovation Teams
    • For Marketers
    • For e-commerce
    • For developers
  • Help Guides
    • Setting up your team
    • Managing conversations
      • Customer attributes
      • User tags and segments
      • Searching for specific users
      • Agent tags (live chat groups and queues)
      • Triggering live chat sessions from the bot
      • Notifications with the TRIGGER block
    • Managing knowledge
      • Uploading business data
      • Question answering and live chat hints
      • Fine-tuning the large language model
    • Natural language automation
    • Building automations visually
      • Customizing your welcome message
      • Adding new skills
      • Navigating skills
      • Copying skills and blocks
      • Handling errors
    • Improving your virtual agent
    • Using live chat AI hints
    • Customizing automatic website page messages
    • Tracking website actions
    • Facebook Ads automation
      • How to set up a Facebook ads bot
      • How to use buttons and quick replies in a Facebook ads chatbot
    • Lead generation
    • Zapier integrations
    • Customizing your project
      • How to customize the chat widget
      • How to customize the Facebook chat widget
      • How to change bot settings
    • Pricing guide
  • Fundamentals
    • Terminology
      • Intents and entities
      • Contexts
      • Skills and events
        • Built-in system skills
          • /start
          • /default
          • /_default_fallback
          • /_start_live_chat
          • /_page_visit
          • /_error
      • Conversation elements
        • Messages
        • Buttons
        • Quick replies
        • Galleries / carousels
    • Messaging channels
      • Website chat widget
        • Installation
        • Customization
        • Voice input
      • Chat widget landing page
      • Facebook Messenger
        • Connect your page
        • 24 hour rule
        • Message tags
        • Persistent menu
      • Telegram
      • Email
      • Twilio SMS automation
    • Intents and bot skills
    • Conversation insights
    • Grow tools
      • Landing pages
      • Messenger links and QR codes
    • Broadcasting
  • Visual builder reference
    • Sending messages
      • TEXT
      • LISTEN
      • IMAGE
      • MEDIA
      • GALLERY
      • FILE
      • EMAIL
      • SMS
      • LEAD
    • Triggering events
      • SEND
      • CATCH
      • TRIGGER
      • LIVE CHAT
    • Manipulating data
      • DATA
      • ADD TAG
      • REMOVE TAG
      • JSON
      • STATUS
      • VALIDATION
    • Conditional logic
      • SWITCH
    • Timers and delays
      • TIMER
      • WAITFOR
      • WAITUNTIL
    • E-commerce blocks
      • CATEGORY
      • PRODUCT
      • VARIATIONS
      • SIMILAR
      • UPSELLS
      • CROSSSELS
      • Shopping carts
        • ADD TO CART
        • UPDATE CART
        • SHOW CART
        • CLEAR CART
        • CREATE ORDER
    • Natural Language
      • NLP
    • System attributes
    • System events
  • Integrations
    • Google services
      • Connect your Google account
      • Google Sheets
        • Searching and updating Google Sheets data
        • Building galleries with Google Sheets data
      • Google Calendar
        • Searching for events
        • Creating and updating events
    • Shopify
    • WooCommerce
    • Dialogflow
      • Building an agent
      • Using entities
      • Slot filling
      • Context management
      • E-commerce NLP
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  1. Conversational AI

For developers

In terms of development costs and complexity, virtual assistants that can understand human language are often compared to airplane wings. The development cost is growing exponentially as the number of automation scenarios increases.

Using low-code conversational tools like Activechat helps reduce development time and cost by automatically handling many of the common tasks and challenges that come with building a virtual assistant. Low-code platforms make it possible to quickly create custom chatbots and virtual assistants that can understand human language.

Some of the benefits of using a low-code platform for virtual assistant development include:

  • Automatic handling of common tasks and challenges, such as natural language processing, dialogue management, and user interface design

  • Rapid development time and lower cost

  • Shorter time to market

  • Greater flexibility to create custom chatbots and virtual assistants that meet specific needs

  • Seamless integration with other systems and applications

If you’re looking to create a virtual assistant or chatbot, or start automating your whole customer service routine, Activechat is a great choice. With our platform, you can quickly and easily create custom chatbots that can understand human language and handle common tasks and challenges.

Here is a brief list of features that are making conversational AI developer's life easier:

  • Instant multi-channel connectivity (website chat, Facebook Messenger, Telegram, e-mail, SMS)

  • Automated analysis of conversational logs (both from Activechat and other systems like Zendesk) to detect intents and topics for automation

  • Seamless integration of human live chat agent workspace with virtual assistants and chatbots

  • Advanced API to connect to your own backend systems and trigger conversations from outside of Activechat

  • State-of-the-art no-code visual flow builder that helps reduce development time from weeks to hours

Contact us today to learn more about how Activechat can help you create a powerful virtual assistant.

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Last updated 3 years ago

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