Yedric.ai is an embeddable in-app AI assistant that pairs knowledge ingestion with API and tool execution to let users trigger actions directly.
What the product does and how it is positioned
Yedric.ai is an embeddable assistant platform designed to turn web applications into AI-native experiences. Rather than functioning solely as an informational chatbot that refers users to external documentation, it allows end users to issue requests in plain language and triggers the corresponding tools or APIs configured by the developer.
The platform operates on a bring-your-own-key framework with model providers like OpenAI, Anthropic, and Gemini. It incorporates context-aware awareness tied to user navigation, built-in interaction logging, and security options including signed sessions, JWTs, and dedicated Shopify flows.
Source-supported ways to use the product
Application teams connect their product APIs and MCP endpoints to let end users create discounts, modify configuration settings, or trigger integrations via chat.
Teams embed the widget to guide new users through setup tasks and answer operational queries using connected knowledge bases and page context.
The documented workflow, where available
Paste the provided line of code into your application to introduce the assistant interface.
Customize the assistant visual appearance and feel to align with your product branding.
Connect documentation, knowledge base resources, APIs, and Model Context Protocol integrations.
Supply API keys for your preferred model provider, including OpenAI, Anthropic, or Gemini.
Launch the assistant inside your app to handle user interactions and perform authorized actions.
Yedric.ai focuses on action execution by relying on tool calling. Application owners specify the concrete operations the assistant is permitted to perform, connecting backend endpoints, existing APIs, and MCP integrations so natural language commands map to structured function calls.
To mitigate security risks associated with running actions within production environments, the platform incorporates secure mode. This configuration binds active sessions to specific users using JWTs, API keys, signed sessions, and Shopify-specific flows to help reduce client-side credential exposure.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
It means users express what they want in plain language instead of navigating manual UI steps, while the assistant uses connected product context, documentation, and APIs to complete the task.
Yedric.ai supports a bring-your-own-key approach that allows teams to connect model keys from OpenAI, Anthropic, Gemini, and compatible providers without platform markups.
The platform accepts product knowledge and documentation through standard documentation sources, uploaded PDF documents, static files, and web URLs.
The service provides a secure mode using JWT, API keys, signed sessions, and Shopify-specific flows to bind sessions to users and prevent credentials from leaking to the client.
Yes, built-in observability features allow administrators to review user queries, see the actions executed by the assistant, and track where errors occur.
