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Inline Help

inlinehelp.com

Inline Help is an AI-powered platform designed to enhance customer support and user experience within applications. It provides in-app contextual assistance through features like 'Explain This' (AI-driven insights), 'Tooltips', a chatbot, and an integrated knowledge base, aiming to reduce support tickets and boost product adoption.

Features
1/14
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Must Have

0 of 4

Workflow Observation

Pattern Analysis

Actionable Suggestions

Task Automation

Other

1 of 10

Contextual Inline Help

Macro Recording

Smart Templates Library

Integration APIs

Team Collaboration

Onboarding Accelerator

Analytics Dashboard

Knowledge Sharing

Privacy Controls

Non-Intrusive UI

Pricing
Tiered
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Essentials

$97.00 monthly
  • Up to 250 content pages
  • Explain this
  • Tooltips
  • Chatbot
  • Knowledge base
  • Ticket form
  • OpenAI GPT-4
  • 5k Messages credit (+$50/1k messages)
  • 1 Seat
  • Email support

Growth

$247.00 monthly
  • Up to 500 content pages
  • Explain this
  • Tooltips
  • Chatbot
  • Knowledge base
  • Ticket form
  • Help Desk Ticket response
  • OpenAI GPT-4
  • 10k Messages credit (+$50/1k messages)
  • 3 Seats (+$10/seat)
  • No Inline Help branding
  • Email support

Enterprise

Custom
  • Custom content pages
  • Explain this
  • Tooltips
  • Chatbot
  • Knowledge base
  • Ticket form
  • Help Desk Ticket response
  • OpenAI GPT-4
  • Custom Messages credit
  • Custom Sources
  • Custom Seats
  • No Inline Help branding
  • Security Reviews
  • Dedicated support
Rationale

Inline Help is primarily a customer support and user assistance platform, focusing on providing in-app contextual help, chatbots, and knowledge bases for end-users. While it offers 'Explain This' and 'Tooltips' which provide contextual guidance, it does not appear to observe user workflows, analyze patterns of repetitive tasks, or provide actionable suggestions and automations to streamline work in the way 'Second Cursor' does. Its focus is on answering customer questions and providing self-service support, not on optimizing internal user workflows through AI-driven observation and automation.

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