Yedric AI adds a customizable assistant to Shopify apps so users can ask for outcomes in plain language, get answers from product knowledge, and complete supported tasks through connected APIs and tools. It also provides visibility into conversations, actions, and recurring product needs.
Yedric AI is an AI assistant platform for Shopify app developers and teams. It lets an app’s users describe what they want in natural language, then combines product knowledge, current app context, and developer-selected actions to answer questions or carry out supported tasks. Unlike a documentation-only chat widget, Yedric can use connected APIs and MCPs to create, update, configure, search, analyze, and troubleshoot within the capabilities an app exposes.
Developers can add the assistant with a line of code, customize its appearance and behavior, connect documentation and other knowledge sources, and provide user or page context. Secure session options include JWT, signed sessions, API keys, Shopify session tokens, and platform-native authentication; the site says secure mode keeps credentials off the client. Teams can also inspect what users ask, how Yedric responds, which actions it takes, and where users encounter problems.
Yedric is positioned for onboarding, in-app support, and product discovery. It can guide users through setup, handle support questions around the clock, and turn conversations into product intelligence such as friction points, unmet needs, and feature requests. The service supports OpenAI, Anthropic, Gemini, and compatible models through a bring-your-own-key model, with providers paid directly and no platform markup stated on the site.
Developers choose which actions Yedric can use, allowing the assistant to perform supported tasks instead of only describing the steps. Actions can include creating, updating, configuring, searching, analyzing, and troubleshooting.
Yedric can use documentation and other knowledge sources, including docs, PDFs, files, and URLs, to answer questions about an app.
The assistant can receive information about the current user, page, account, or other relevant app state, allowing prompts to be interpreted in context.
Teams can customize the assistant’s branding, appearance, personality, prompts, behavior, placement, and available actions so it fits into their product.
Supported approaches listed on the site include JWT, API keys, signed sessions, Shopify session tokens, and platform-native authentication. Secure mode binds sessions to verified users and keeps credentials off the client.
Teams can review user requests, responses, actions, and unresolved problems, while conversations surface friction, unmet needs, and feature requests.
Turn setup into a conversation by letting users ask what to do next and receive guidance grounded in the app’s documentation and current context.
Help Shopify app users complete tasks such as creating discount codes, updating settings, checking configurations, or troubleshooting integrations when those operations are exposed through the app’s APIs.
Provide immediate support for merchants in different time zones and languages. The Infinite Options case study describes use across a global merchant base and reports more than 3,000 conversations reviewed over six months.
Analyze conversations to identify repeated questions, points of confusion, and feature requests that can inform documentation and product planning.
Yedric can connect to an app’s documentation and other knowledge sources, APIs, MCPs, and relevant user or page context. Developers decide which actions and information are available.
Any action the app exposes for Yedric to use. The site gives examples such as creating, updating, configuring, searching, analyzing, and troubleshooting, as well as creating a discount code and triggering a Klaviyo flow in an example workflow.
The site says most developers have Yedric running in about 30 minutes. The described process is to add it to the app, connect knowledge, start with Q&A, and then add deeper product actions as needed.
Yedric supports OpenAI, Anthropic, Gemini, and compatible models. It uses a bring-your-own-key approach, with model providers paid directly and no platform markup stated on the site.
Secure mode can bind a session to a verified user through JWT, signed sessions, Shopify session tokens, or platform-native authentication. The site states that credentials do not sit on the client.
Os dados de tráfego são apenas para referência.
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