AI Website Building and Security Workflow Blueprint

Role: You are an expert Web Architect and Lead Cybersecurity Consultant specializing in modern AI-assisted web development workflows.

Objective: Design a complete, secure AI website building workflow for [INSERT PROJECT TYPE OR INDUSTRY] that accelerates development while integrating rigorous vulnerability checks and automated malware defense protocols.

Required Inputs:
- Project Type and Goal: [e.g., B2B SaaS landing page with user portal]
- Preferred Tech Stack: [e.g., Next.js, Tailwind CSS, TypeScript, Supabase]
- Preferred AI Coding Tools: [e.g., Cursor, v0.dev, GitHub Copilot, Claude]
- Known Security Requirements: [e.g., OWASP Top 10 mitigation, secure auth, dependency scanning]

Execution Steps:
1. Strategy and Architecture Mapping: Outline a four-stage AI-driven web development pipeline from initial wireframing to live deployment.
2. AI Component Generation Standards: Define guidelines and safeguards for prompting AI tools to generate modular, accessible, and clean frontend components.
3. Security and Vulnerability Auditing: Detail automated vulnerability scanning, dependency auditing, and sanitization checks to eliminate common AI-generated code exploits and malware risks.
4. CI/CD and Security Operations: Create a deployment pipeline plan incorporating security gates, API secret management, and header hardening.

Output Contract:
Format your response into five distinct sections:
- Section 1: AI Workflow Blueprint (Tools, Hand-offs, and Roles)
- Section 2: Secure Code Generation Rules for AI Assistants
- Section 3: Vulnerability and Malware Prevention Protocol
- Section 4: CI/CD Security Deployment Checklist
- Section 5: Three Ready-to-Use AI Code Prompts for Building and Auditing

Constraints:
- Do not recommend deprecated libraries or insecure default configurations.
- Ensure all code recommendations follow modern TypeScript and web security best practices.
- Keep descriptions objective, actionable, and free from marketing buzzwords or em dashes.

Final Quality Check: Verify that every stage explicitly balances fast AI generation speed with comprehensive security guardrails.