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#nextjs#ai#email#gemini#fullstack#typescript#prisma

Building Emailer Studio: An AI-Powered Email Builder That Actually Ships

How I built a drag-and-drop email product with Gemini AI generation, Outlook-safe HTML, quality scoring, SMTP campaigns, and tracking — from canvas edit to send.

Sahil Khan

Author

August 4, 20263 min read4 views
Building Emailer Studio: An AI-Powered Email Builder That Actually Ships
3 min read

Building Emailer Studio

Most email tools force a tradeoff.

Either you get a pretty builder that exports broken HTML…

or you get “safe” templates that look like 2012.

I wanted both: a modern canvas experience **and** production-ready output that survives Outlook and Gmail.

That product became **Emailer Studio**.

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The problem

Building marketing emails is still painful:

  • Drag-and-drop tools generate messy markup
  • Outlook breaks layouts that look fine in Chrome
  • Writing copy from scratch is slow
  • Teams ship without checking quality
  • Campaign sending and tracking live in separate tools
  • So I built one product that covers the full loop:

    **Create → improve with AI → score quality → send → track**

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    What Emailer Studio does

    1. Drag-and-drop email builder

    A visual canvas with reusable blocks so users can compose emails quickly without fighting raw HTML.

    2. Production-safe HTML output

    The hard part isn’t designing. It’s exporting markup that still renders correctly in real clients — especially Outlook.

    3. Gemini AI generation

    Users can generate drafts and iterate faster instead of starting from a blank page.

    4. Quality scoring

    Before send, the product checks whether the email is actually in good shape — so weak layouts and weak content get caught earlier.

    5. Campaign sending + tracking

    SMTP campaigns with open/click tracking, so creation and delivery are not disconnected workflows.

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    Why this is unique

    A lot of portfolio “email builders” stop at UI.

    Emailer Studio is different because it focuses on the **real email product path**:

  • editable canvas
  • AI-assisted writing
  • deliverability-minded HTML
  • quality gates
  • send + analytics in one place
  • That makes it feel like a product, not a component demo.

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    Tech stack

  • **Next.js** + TypeScript
  • **Prisma** + PostgreSQL
  • **NextAuth**
  • **Gemini AI**
  • **Tailwind CSS**
  • **Zustand** for builder state
  • The architecture had to stay simple enough to ship, but structured enough to support auth, persisted projects, and campaign flows.

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    What users can do

  • Create and edit emails on a live canvas
  • Generate content with Gemini AI
  • Review quality before sending
  • Send campaigns through SMTP
  • Track opens and clicks
  • Come back to saved projects with authentication
  • ---

    What I learned

    Shipping an email product teaches you quickly that frontend polish is only half the job.

    You also need:

  • resilient HTML output
  • practical AI assistance (not gimmicks)
  • clear quality feedback
  • auth + persistence
  • a send path that can be demoed end-to-end
  • The best builders don’t just look modern.

    They help someone go from idea → send with confidence.

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    Live demo

    Try it here: [emailer-studio.vercel.app](https://emailer-studio.vercel.app/)

    If you want the full story, open the builder, generate a draft with AI, check quality, and walk the campaign flow.

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