Dopt – Survto AI
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Dopt

Help more users succeed with our AI-powered toolkit.

Tool Information

Dopt is an AI-powered platform focused on enhancing in-app user experiences. It provides a toolkit that enables developers to build personalized and contextually aware assistance into their apps. With features such as 'point and get answers', Dopt ensures users instantly receive assistance when interacting with app parts. This service eliminates the need for manual tooltip creation by leveraging AI to perform this task. Dopt offers more than a chatbot; it helps in creating seamless in-product AI assistance with pre-built components and a flexible SDK. Developers can use Dopt's customizable components or use their hooks in combination with their components to create a type of assistance.Another unique aspect of Dopt is its contextually aware characteristic. Its in-app context feature paired with custom LLM sets it apart by delivering relevant assistance. A feature currently under development is 'take action', which enables AI to suggest product actions, helping users discover more app value and complete their tasks.Moreover, Dopt ensures insights into AI usage and its quality of response by users, fostering a data-driven development approach. Dopt also allows developers to train custom models and integrate app-building actions, offering a reimagined product adoption.In addition, Dopt is positioned as a developer-friendly platform, offering SDKs & APIs for building native AI assistance. It further serves as a responsible AI tool, having SOC 2 Type II compliance. It differentiates itself as more than a messaging platform, it's an insightful, actionable, and learning augmented technology intuitive enough to deliver significantly unique experiences.

F.A.Q (20)

Dopt is an AI-powered platform created to improve in-app user experiences. Its primary function is to provide a toolkit that allows developers to incorporate personalized and contextually aware assistance into their apps.

Dopt extends beyond being a chatbot by providing in-product AI assistance. It delivers seamless assistance with pre-built components and a flexible SDK. Dopt's developers can either customize its components or combine their hooks with Dopt's components to form a unique type of assistance.

Dopt enhances in-app user experiences through features like 'point and get answers', which ensures users instantly receive assistance when interacting with parts of an app. Dopt uses AI to automate tooltip creation, removing the need for manual intervention. It also offers 'contextually aware' assistance, providing more relevant and personalized help.

Dopt's key features include a point and get answers feature, automated tooltips, customizable components, contextually aware assistance, a 'take action' feature which is under development, AI usage insights, and a developer-friendly platform with SDKs & APIs.

The 'point and get answers' feature in Dopt allows users to highlight any part of an app and receive instant assistance, making the app more user-friendly and intuitive.

Dopt automates tooltip creation using AI. This means users receive needed assistance without developers needing to manually create tooltips, saving valuable resources.

Yes, Dopt provides developers with a toolkit full of customizable components. Developers have the freedom to customize Dopt components as they see fit or develop their own type of assistance using Dopt's hooks combined with their components.

Dopt offers contextually aware assistance by matching in-app context with custom LLM. This unique pairing helps in delivering remarkably relevant information to users when it matters most.

The 'take action' feature in Dopt, which is currently under development, will enable AI to suggest potential product actions, this feature aims to help users discover more value within an app and assist in completing their tasks.

Developers can create AI assistance within Dopt by using its developer-friendly SDK tools. The flexibility of Dopt's SDK allows for building in-house components and integrating them with Dopt’s hooks to create a unique assistance model.

Dopt can integrate into app development in a number of ways. It allows developers to train custom models, integrates app-building actions, and provides SDKs and APIs for building native AI assistance, all contributing to a seamlessly integrated user experience.

Dopt gathers insights into AI usage and the quality of response through analytics. Developers can monitor how users interact with AI, track usage, and gain understanding of the AI's response quality, leading to a data-drive development approach.

Yes, Dopt provides the possibility for developers to train custom models. This is part of Dopt's endeavor to offer a truly customizable AI assistance system that caters to the specific needs of each app.

Dopt is a developer-friendly platform because of its myriad of tools and resources, including flexible SDKs and APIs, the ability to create and train custom models, customizable components, and comprehensive insights into AI usage and interaction quality.

SOC 2 Type II compliance in the context of Dopt represents its adherence to high standards of data security. It signifies Dopt's commitment to the safe handling of its client's data, showcasing it as a responsible AI tool.

Dopt ensures product adoption by providing developers the ability to integrate AI-powered assistance into their apps, creating a more efficient and user-friendly experience. In addition, its comprehensive insights and analytics allow developers to understand user interaction, further fine-tuning the app to meet users' needs.

Dopt can deliver significantly unique experiences for app users by offering personalized and contextually aware assistance, allowing for more intuitive app navigation and usage. Furthermore, its 'point and get answers' feature ensures instant response to user interaction, further enhancing their experience.

Dopt helps users discover more app value through an upcoming feature known as 'take action'. It enables AI to suggest product actions, helping users discover the full potential of an app and successfully complete their tasks.

Yes, Dopt provides comprehensive documentation for developers, including a guide to getting started, instructional documents for using Dopt's SDKs, and information on its APIs.

Dopt offers a variety of APIs and SDKs. This includes @dopt/react for React developers, @dopt/vue for Vue developers, and @dopt/javascript for JavaScript developers. These tools allow for the building of native AI assistance into an app.

Pros and Cons

Pros

  • Enhances in-app user experiences
  • Offers personalized assistance
  • Contextually aware assistance
  • Instant answers for users
  • Eliminates manual tooltip creation
  • More than a chatbot
  • Pre-built components for assistance
  • Flexible software development kit
  • Customizable components
  • Context and custom LLM integration
  • Helps users discover app values
  • Encourages data-driven development
  • Developers can train custom models
  • Integrates app-building actions
  • Promotes product adoption
  • Developer-friendly with SDKs & APIs
  • SOC 2 Type II compliance
  • Delivers unique user experiences
  • Provides in-app help resources
  • Enables in-app search
  • Highlights app components
  • Offers different types of assistance
  • Facilitates navigation and tours
  • Can initiate API calls
  • Allows adding of diverse sources
  • Supports multiple programming languages
  • Provides analytics on assistant usage
  • Aids product onboarding
  • Targeting rules and analytics provided
  • Supports system status checks
  • Developer resources available on GitHub
  • Accompanies user model training
  • Constantly updating with new features
  • Contextual resources for in-app help
  • Provides actionable insights
  • Learning augmented technology
  • Product action suggestions
  • Strong customer support
  • Product Hunt featured

Cons

  • Under development features
  • Dependent on custom LLM
  • Limited to in-app use
  • No explicit free tier
  • Requires model training
  • Lack of multi-platform support
  • Context awareness may misinterpret
  • Dependent on SDKs & APIs
  • Contingent on user interactions

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