Behind the Scenes: The Journey of Building Jeenee
Building an AI-powered ad platform like Jeenee is no small feat. It's a complex undertaking that requires navigating a multitude of technical and creative challenges. We wanted to pull back the curtain and share some insights into our journey, the hurdles we faced, and how we overcame them to create a truly innovative solution.
Training AI models for ad design is a particularly intricate process. It's not just about teaching the AI to generate images; it's about ensuring aesthetic coherence, maintaining brand alignment, and balancing automation with creative flexibility. These are complex and often conflicting requirements. The AI must learn to create visuals that are not only visually appealing but also consistent with a brand's established identity. Furthermore, it needs to offer enough customisation options to empower marketers without overwhelming them with choices or sacrificing the efficiency of automation.
One of the biggest challenges we faced was mitigating bias in AI-generated visuals. AI models are trained on vast datasets, and if these datasets contain biases, the AI will inevitably perpetuate them in its output. We took this issue very seriously and implemented rigorous data curation and model training techniques to minimise bias and ensure that Jeenee generates diverse and inclusive visuals.
Another key challenge was enabling the AI to adapt to different brand identities while still maintaining originality. Each brand has its own unique aesthetic, and the AI needed to be able to capture these nuances without simply replicating existing designs. This required extensive training on diverse datasets, allowing the AI to learn the underlying principles of design and apply them creatively to different brand contexts. Refining this decision-making process was a crucial part of our development journey.
Our team's background in video personalisation proved invaluable in tackling these challenges. We were able to leverage our experience in applying proven AI methodologies to visual storytelling, accelerating our progress and enabling us to develop more sophisticated solutions. The principles of visual storytelling are universal, whether you're creating a personalised video or a compelling ad. This foundation allowed us to build upon existing knowledge and adapt it to the specific needs of ad design.
User research played a critical role in shaping Jeenee's features. We didn't want to build a platform filled with gimmicky AI functions that didn't address real-world pain points. Instead, we focused on understanding the specific challenges that marketers and businesses face when creating ads. Through extensive user feedback and testing, we were able to identify the most pressing needs and prioritise the development of features that would have the biggest impact. This user-centric approach ensured that Jeenee is not only powerful but also practical and user-friendly.
One of our core principles was balancing automation with user control. We recognised that while AI can automate many aspects of ad creation, marketers still need to have control over the final product. Jeenee allows users to customise AI-generated content as needed, ensuring that the final ads perfectly align with their vision and campaign objectives. This balance between automation and user control is essential for creating a truly effective ad platform.
Building Jeenee was a challenging but ultimately rewarding experience. We're proud of the platform we've created and believe it has the potential to transform the way businesses approach ad creation. By combining the power of AI with a user-centric design approach, we've built a tool that empowers marketers to unleash their creativity and achieve their advertising goals.
