Next-Gen AI Prompt Engineering Studio

AI Prompt Architect Studio

Construct structured, zero-hallucination Mega-Prompts for ChatGPT, Claude 3.5, Gemini 1.5, and Midjourney. Built with industry frameworks (RTF, CREATE & CoT) for students, engineers, and creators.

Engine Calibration

GPT-4o128k

Claude 3.5200k

Gemini 1.51M+

Midjourneyv6.0

1. Select Architectural Framework:

Target Domain Persona:

Staff / Principal Software Architect

Prioritizes distributed scalability, zero-debt architecture, and battle-tested patterns

Distinguished University Professor

Uses Socratic inquiry, rigorous mathematical intuition, and foundational principles

B2B Growth Strategist & Copywriter

High-conversion, punchy, conversion-rate optimized, and psychologically calibrated

Principal UI/UX & Visual Designer

Focuses on typography, micro-interactions, WCAG contrast, and glassmorphic aesthetics

Application Security Engineer (AppSec)

Zero-trust mindset, defensive coding, OWASP Top 10 mitigation, and threat modeling

Primary Objective / Mission:

Context & Constraints Context (Optional):

Negative Guardrails & Prohibitions:

Enforce atomic sliding-window algorithm to prevent burst vulnerabilities

Include structured TypeScript interfaces and clean inline comments

No conversational filler or fluff — output production code and direct explanations only

Tone:

Output Format:

prompt-console.ai · RTF

~194 tokens775 chars

### Role:
Act as an elite Staff / Principal Software Architect. Prioritizes distributed scalability, zero-debt architecture, and battle-tested patterns.

### Task:
Architect a resilient rate-limiting and DDoS-mitigation middleware for a Next.js 15 and Node.js REST API using Redis token buckets.

### Context:
High-traffic e-commerce & SaaS backend deployed in Docker, handling sudden traffic spikes during flash sales.

### Guardrails & Constraints:
- Enforce atomic sliding-window algorithm to prevent burst vulnerabilities
- Include structured TypeScript interfaces and clean inline comments
- No conversational filler or fluff — output production code and direct explanations only

### Tone:
Technical & Direct

### Format:
Production Markdown with TypeScript Code Fences

Launch in: