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AI Integration with Server Actions

How Neuro Cart uses the Vercel AI SDK and Cohere to power intelligent features across the platform using Next.js Server Actions.

Stack

Layer Technology
SDK ai (Vercel AI SDK v6)
Provider @ai-sdk/cohere (Command A)
Runtime Next.js Server Actions ("use server")

Architecture

Unlike traditional setups that use API routes, Neuro Cart uses Server Actions for AI operations. This allows for direct calls from Client Components while maintaining server-side security for API keys.

graph LR
    A[React Client] -->|Server Action| B[AI Service]
    B -->|generateText| C[Cohere Command A]
    C -->|Response| B
    B -->|Return JSON/Text| A
Loading

AI Service Location

The AI logic is organized by app in app/actions/ai.ts:

  • apps/store/app/actions/ai.ts
  • apps/seller/app/actions/ai.ts
  • apps/admin/app/actions/ai.ts

Key Implementation Patterns

1. Structured Output with category inference

Used in the Store for smart search:

export async function searchProducts(query: string) {
  const { text } = await generateText({
    model: cohere("command-a-03-2025"),
    prompt: `Based on the user query: "${query}", identify the most relevant product category and keywords...`,
  });
  // Parse and return results
}

2. Multi-step Content Analysis

Used in the Admin dashboard for moderation:

export async function analyzeContent(
  content: string,
  contentType: "product" | "review",
) {
  const { text } = await generateText({
    model: cohere("command-a-03-2025"),
    prompt: `Analyze the following ${contentType} for policy violations...`,
  });
  return JSON.parse(text);
}

Available AI Features

Dashboard Features
Store Smart search, product recommendations, listing summarization
Seller AI product copy generation, SEO tag generation, sales pattern analysis
Admin Automated content moderation, platform-wide insights, fraud pattern detection

Customizing Prompts

To adjust the AI behavior, modify the prompt strings inside the corresponding ai.ts file for the specific feature.