I built Forge: A real-time, context-aware AI copywriting engine with Next.js & Server-Sent Events

Hey DEV Community!

I wanted to share Forge, an AI-powered copywriting and content studio designed to solve one of the biggest problems with generic LLM generation: lack of context and out-of-date information.

Most AI copywriters spit out robotic, recognizable text because they lack target audience context, dynamic tone awareness, and live domain data. I built Forge to bridge that gap.

🚀 What Forge Does

Dynamic Voice & Tone Cloning: Switch between high-converting presets (like YC-style crisp messaging) or clone custom brand voices.

Real-Time Web Research: Integrated live web scanning to bring real domain facts into generations instead of hallucinating.

Multi-Channel Conversion Assets: Generates landing page copy, pitch decks, cold email sequences, and social media posts instantly.

Fast Exporting: Built-in clean PDF and shareable exports for teams and clients.

🛠️ The Tech Stack

Frontend: Next.js (App Router), React, Tailwind CSS

Streaming Engine: Server-Sent Events (SSE) for sub-500ms initial token latency

Backend Framework: FastAPI & Express for multi-agent execution

Payments & Billing: Dual global payment setup via Stripe and Paystack

💡 What I Learned Building This

1. Streaming UX is King: When dealing with long-form copy generation, low latency and real-time streaming tokens drastically improve perceived UI speed.
2. Context > Model Size: Giving a smaller or faster LLM precise live search context and structured prompt constraints produces far better copy than feeding a massive model a generic prompt.

I’d love to hear your thoughts, feedback, or suggestions on the feature set!

👉 Check it out live: https://forge-green-five.vercel.app/