MarketingCopy AI enables businesses to generate on-brand marketing content—ads, emails, product descriptions, landing page copy—in just a few seconds. The platform was built to offer a clean, intuitive interface backed by a flexible AI engine that delivers consistent results for different content types.

I led the development of the AI generation logic, backend features, and dashboard experience. My focus was to make content creation fast, reliable, and simple for non-technical marketing teams.

Designed structured prompt templates with adjustable tone, style, and formatting options.

Built multi-step generation flows (via LangChain) for long-form outputs like email sequences and multi-section landing pages.

Added refinement loops to maintain clarity and brand consistency across generated content.

Developed a lightweight Python backend with endpoints for generating content, saving drafts, and retrieving user history.

Added brand preset configurations so users could define voice, tone, and guidelines once and reuse them across projects.

Integrated PostgreSQL for storing projects, campaigns, and multi-version content drafts.

Implemented dashboard functionality for creating, previewing, and organizing content.

Streamlined the flow from prompt → preview → finalize to reduce friction and speed up iteration.

Marketing teams were able to produce polished, on-brand content in minutes instead of hours. The platform became a scalable assistant for daily content creation, improving speed, consistency, and overall productivity.