Outcome-oriented assistant
Users describe an outcome in plain language, while the assistant interprets the request and uses configured tools to carry out the task rather than only explaining the steps.
Yedric AI
Yedric AI is an embedded, configurable AI assistant for Shopify app teams. It uses product knowledge, app context, and selected APIs or tools to help users complete tasks, answer questions, and surface product feedback.
AI assistant infrastructure for Shopify apps
Yedric AI is an embedded AI assistant for Shopify app teams. It lets an app's users describe what they want in plain language, then combines product knowledge and user or page context with configured tools to help complete the requested task. This positions Yedric as an action-oriented product interface rather than a chat widget limited to support answers.
App teams provide the assistant with documentation and other knowledge sources, connect selected APIs or MCPs, and control which actions it can take. Yedric can be introduced with basic question answering and expanded with product actions. Its dashboard also records conversations and action activity, helping teams identify friction, unanswered needs, and feature requests. The site says setup can take about 30 minutes for most developers, but implementation details and capabilities depend on the app's own configuration.
Key features
Configurable tool calling
Teams can connect APIs, app tools, and MCPs, then decide which capabilities are available. Supported examples include creating, updating, configuring, searching, analyzing, and troubleshooting.
Product knowledge and context
Yedric can draw on documentation, PDFs, files, URLs, and other product knowledge, combined with real-time context such as the current page, user, or account.
Embedded and customizable experience
The assistant can be embedded with a branded appearance and customized personality, prompts, behavior, placement, and other presentation details so it fits the host app.
Session-aware security
Secure mode supports JWT, API keys, signed sessions, Shopify session tokens, and platform-native authentication. The site states that credentials are not exposed on the client.
Conversation observability
A dashboard shows user questions, responses, actions taken, unresolved problems, feature requests, and other interaction patterns that can inform product improvements.
Practical use cases
Complete merchant workflows
A merchant can ask for an operational result, such as creating a discount for a defined customer segment. With the relevant tools exposed, Yedric can find matching customers, create the code, and support follow-up actions instead of merely describing the process.
Conversational onboarding
An app can use contextual prompts and knowledge to guide a new user through setup. The assistant can answer questions in the product and help users act on configuration tasks, reducing the need to switch to a separate guide.
In-product support and troubleshooting
When a user encounters a disconnected integration, billing question, notification setting, or product configuration issue, Yedric can combine the current page and account context with available troubleshooting or configuration tools.
Product feedback analysis
Product and customer-success teams can review conversations, action outcomes, recurring friction, and feature requests to prioritize documentation, fixes, and future app capabilities.
Pros and Cons
Pros
- Supports actions inside an app instead of limiting interactions to documentation or step-by-step guidance.
- Lets teams control the available tools and connect product-specific APIs, knowledge sources, and MCPs.
- Uses page, user, and account context to make responses relevant to the current workflow.
- Provides authentication options and visibility into conversations, tool use, and unresolved issues.
- Can be branded and customized to fit the host application's interface and behavior.
Cons
- The assistant's ability to perform real work depends on the APIs, tools, knowledge, and user context that the app team configures.
- The supplied pricing information does not state paid plan names, usage limits, or billing terms.
- The source focuses on Shopify app examples; broader platform coverage is not confirmed.
FAQ
How is Yedric added to an app?
Yedric is designed for teams building Shopify apps. It is embedded in an app, connected to that product's documentation and knowledge sources, and given access to selected APIs, tools, or MCPs. The site says most developers can get a basic setup running in about 30 minutes, starting with question answering before adding deeper actions.
What actions can Yedric perform?
The app team chooses which capabilities to expose. Depending on the configured tools, Yedric can create, update, configure, search, analyze, troubleshoot, or perform other tasks through the app's APIs. It does not automatically have unrestricted access to every app function.
What information does Yedric use to understand a request?
Yedric can use documentation, PDFs, files, URLs, and product knowledge, together with context such as the current user, page, account, or other relevant information supplied by the app. This lets it interpret requests in relation to the product and the user's current workflow.
How does Yedric address authentication and credential security?
The site describes secure sessions using JWT, API keys, signed sessions, Shopify session tokens, or platform-native authentication. Secure mode binds sessions to verified users, and the site states that credentials do not sit on the client.
What pricing and model-provider details are available?
The site says Yedric is available to get started for free, with unlimited assistants and unlimited conversations, and that customers bring their own OpenAI, Anthropic, Gemini, or compatible model keys. The supplied pricing content does not specify paid plan names, limits, or billing terms.
Quick Facts
- Category
- AI assistant / developer tool
- Primary users
- Shopify app teams and developers
- Core workflow
- Natural-language request to configured app action
- Knowledge inputs
- Docs, PDFs, files, URLs, and product knowledge
- Model providers
- OpenAI, Anthropic, Gemini, and compatible models; bring your own keys
- Getting started
- Free to start; no credit card required
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