Inspiration

Small-business owners and beginner marketers often struggle to create consistent social media content and plan effective marketing campaigns. Creating platform-specific captions and organizing content for an entire week can take time and effort.

I built AI Marketing Studio to make marketing content creation simpler by turning one business brief into ready-to-use social media captions and a structured campaign plan.

What It Does

AI Marketing Studio is a beginner-friendly AI-powered marketing assistant that helps users prepare social media content for Instagram and Facebook.

Users provide their business details, target audience, marketing goal, tone, and campaign information. The application generates:

Platform-specific captions tailored for Instagram and Facebook.
A seven-day marketing campaign plan with organized daily content ideas.
Editable campaign inputs so users can refine their brief and regenerate results.
Copy-to-clipboard functionality to make generated content easier to reuse.

The application also handles input validation and generation errors while preserving previous results when a regeneration attempt fails.

How I Built It

I built the project using Next.js, TypeScript, React, Tailwind CSS, and Zod for input and response validation. The AI generation workflow uses a server-side API route connected to OpenRouter, allowing the application to request structured marketing content from a configurable AI model.

I used Vitest for automated testing and developed the application in small, manageable implementation steps. The OpenRouter API key is kept on the server rather than exposed to the browser.

I also followed the Devpost Learn Skill Pack workflow to break down the idea into a clear scope, product requirements, technical specifications, implementation steps, and testing checkpoints.

Challenges I Faced

One challenge was making the AI output useful and consistent rather than returning generic marketing text. I needed to structure the generated content so that each platform received its own caption and the campaign plan covered seven days.

Another challenge was handling errors reliably. The application needed to validate inputs, provide useful feedback, and preserve existing results if a new generation failed. I addressed these concerns through structured validation, error handling, and automated tests.

What I Learned

This project helped me practice turning an AI application idea into a scoped, working product. I learned more about integrating an AI API into a Next.js application, protecting API credentials, validating structured AI responses, testing failure scenarios, and improving the user experience through iterative development.

What's Next

AI Marketing Studio is an MVP focused on marketing content generation and planning. Future improvements could include saving campaign history, adding more social platforms, creating downloadable content calendars, and integrating analytics or publishing workflows.