How to vibe codeJasper

Prerequisites

• Node.jsfree

  Required runtime for executing the Next.js full-stack framework and managing package dependencies.

• GitHubfree

  Source code repository hosting and integration with Vercel deployment pipelines.

• 

  OpenAI APIPay-as-you-go

  Provides the foundational LLM and Whisper/image processing capabilities for content generation.

AI coding tools

• Claude Code

  Autonomous terminal coding agent capable of scaffolding multi-file Next.js features and debugging complex state management.

• Cursor

  AI-native code editor ideal for iterative UI design of the rich-text canvas and agent dashboard.

Build guide

1. 01Project Scaffolding & Database Setup

   Initialize the Next.js project with Tailwind CSS, configure Neon Postgres with pgvector, and set up better-auth for secure user authentication.

   Scaffold a new Next.js application using App Router, TypeScript, and Tailwind CSS. Configure better-auth with email/password authentication and hook it up to a Neon Postgres database using Drizzle ORM. Set up the database schema to include tables for users, workspaces, brand_voices (storing tone rules and style guidelines), knowledge_assets (storing text and vector embeddings via pgvector), and documents (storing title, content, status, and workspace_id). Ensure environment variables are properly typed in a .env.example file. Write migration scripts and verify that a user can register, log in, and access a protected dashboard layout.

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2. 02Jasper IQ & Brand Context Engine

   Build the brand intelligence layer where users define tone voices, style rules, and upload knowledge assets for RAG injection.

   Build the Jasper IQ brand context module inside the Next.js app. Create a settings UI where users can create, edit, and delete Brand Voices (defining tone descriptors, formatting rules, and sample copy) and Knowledge Assets (uploading raw text or documents, generating chunk embeddings via OpenAI text-embedding-3-small, and storing vectors in Neon pgvector). Implement a backend utility function that retrieves relevant brand context and style guidelines for a given workspace and formats them into a structured system prompt injection string for subsequent AI generation tasks.

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3. 03Canvas Document Editor & AI Generation

   Implement a rich-text canvas editor integrated with the Vercel AI SDK to stream content generation governed by active brand voices.

   Implement a rich-text canvas document editor component in the frontend using a modern text editor library. Integrate the Vercel AI SDK to power a chat and inline generation sidebar. When a user requests content generation (e.g., blog post, ad copy, press release), construct a multi-part prompt that combines the user's prompt, selected content pipeline template, and the retrieved Jasper IQ brand voice and style guide rules from Step 2. Enable real-time streaming of LLM output into the document editor with options to accept, rewrite, or expand selected text blocks.

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4. 04Specialized Marketing Agents & Pipelines

   Develop purpose-built workflow pipelines for specialized tasks such as SEO/GEO optimization, campaign briefs, and research execution.

   Create a structured workflow system called Content Pipelines. Build specialized agent execution routes (SEO & GEO optimization, campaign brief generation, social media post creation) that execute multi-step LLM operations using the Vercel AI SDK. Each pipeline should accept structured inputs (target audience, channel, core message), execute a specialized prompt chain with integrated brand rules, and automatically output formatted marketing assets. Build a UI dashboard displaying pipeline runs, status labels (draft, ready for review, published), and historical generations.

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5. 05Image Pipelines & Multi-modal Integration

   Integrate fal.ai for image generation, background removal, and visual asset management within marketing campaigns.

   Integrate fal.ai API into the platform to build Image Pipelines. Create backend endpoints and frontend UI components for generating campaign imagery using Flux, removing image backgrounds, and upscaling product shots. Link generated image assets to specific workspace documents and knowledge repositories so visual guidelines and packshot metadata can be referenced alongside text content. Ensure all API calls handle errors gracefully and display loading states during processing.

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6. 06Analytics, Polish, & Deployment

   Add personal usage analytics, history backups, error boundaries, and deploy the application to Vercel.

   Add a usage and analytics dashboard tracking personal generations, active documents, and hours saved estimates over time. Implement an automatic document history and version backup system saving states to Neon on edit. Integrate Sentry for error tracking, add loading skeletons across all async views, ensure mobile responsiveness, and prepare the project for production deployment on Vercel with correct environment variable configurations.

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Cost vs paying for Jasper