AI-Powered Email Template Builder

AI, Email Builder, Drag and Drop, Real-time App, SaaS, Web Tools
Usage Limit is in gemini ai

Build stunning email templates using AI or create them from scratch with a drag-and-drop editor.

About this project

This project is a powerful AI-assisted email template builder built with Next.js and integrated with the Gemini API. Users can quickly generate professional-looking email templates using AI, or manually create custom layouts using an intuitive drag-and-drop interface. With Convex powering the real-time backend and NextAuth handling secure authentication, the app offers a smooth, fast, and modern experience. Whether you're a developer, marketer, or business owner, this tool saves time while enabling creative control over email design.

Tech Stack

Next Js
React
Convex
Gemini API
Tailwind CSS

My Experience

I built this project to explore the integration of AI with real-time web applications. Implementing Gemini API for text generation was both exciting and challenging, especially when transforming the AI's output into clean, responsive HTML. Creating the drag-and-drop editor required a solid understanding of DOM manipulation and UI state management. Convex made it easier to handle real-time updates and user-specific data. Through this project, I gained deep insights into serverless backend architectures, authentication flows with NextAuth, and user-centric UI/UX development.

AI integration case study

From AI generation to a controllable product workflow

Make professional email-template creation faster without removing the manual control needed to edit, arrange, and reuse the final layout.

Engineering approach

  • Connected the Gemini API to generate and improve email-template content.
  • Kept a drag-and-drop editing path so the user can refine the generated result instead of accepting an opaque one-shot answer.
  • Used Next.js for the application, Convex for real-time application data, and authentication for user-specific template management.

Control and reliability

  • Transform model output into clean, responsive HTML before presenting it as a usable template.
  • Separate AI assistance from the editor so a user can continue manually when generation is limited or unsuitable.
  • Keep template creation, editing, and deletion as explicit product actions rather than uncontrolled agent behavior.

Verified outcome

The public source repository demonstrates an end-to-end AI-assisted product rather than a model demo: generation, template management, editing, authentication, and application state work together in one build.

Verified from the public GitHub repository and the existing portfolio project record. No fabricated revenue, user-count, or performance claim is included.

Related engineering work

Continue through related AI, backend, integration, platform, and custom web application work.

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FAQ

Clear answers before we build.

Short answers to the questions that usually come up before a project starts.

Book a free workflow call

Most businesses should begin with one clear, repeatable workflow. We add AI or agent behavior only when changing decisions or tool use creates measurable value.

Common starting points include lead intake, support triage, document processing, recurring reporting, CRM updates, notifications, and moving verified data between tools.

AI automation is the priority offer, supported by custom websites, web applications, mobile applications, NestJS and Node.js APIs, databases, queues, integrations, and real-time systems.

The discovery process identifies what can be connected through existing APIs, automation tools, or a small custom service before recommending a larger rebuild.

Production workflows need validation, permissions, logs, retries, monitoring, and human review for uncertain or high-impact decisions—not only a model call.

Bring one repetitive process or software idea. We will identify the bottleneck and decide whether the next step is no change, simple automation, a controlled AI workflow, or custom software.