How Pollo AI Uses OpenAI Models to Simplify Video and Ad Creation
Pollo AI is leveraging OpenAI's GPT-6 Astra, GPT-5.6, and GPT-Image-2.5 to automate complex creative workflows, helping 26 million users build campaigns easily.
Pollo AI, a platform serving over 26 million users, is aiming to democratize video creation by simplifying the process of turning creative ideas into high-quality visual content. Founded by CEO Bill Zhu, the company wants to do for video what Canva did for graphic design, making production accessible to users without specialized production expertise. Historically, creators and marketers have struggled to navigate multiple generative AI tools and complex models, often leading to frustration and abandoned projects. By integrating OpenAI's latest models, Pollo AI has built a more reliable, streamlined system that minimizes manual trial and error.
Simplifying the Creative Workflow with Model Routing
To address the friction of model selection, Pollo AI introduced Pollo Agent, a guided workflow assistant. Pollo Agent analyzes rough user ideas, scripts, and visual references to generate cohesive storylines and scene transitions. According to Pollo AI's CTO, Peter Zhou, OpenAI's models excel at interpreting ambiguous creative inputs and handling multimodal tasks. The company values the stability and release cadence of the OpenAI API to maintain these workflows.
To optimize performance, latency, and cost, the platform employs a dynamic routing strategy. It utilizes GPT-5.6 to handle initial routing decisions, while routing more complex tasks—such as narrative development and planning scene revisions—to GPT-6 Astra. For static image generation, including storyboards and marketing assets, the company relies entirely on GPT-Image-2.5 due to its precision with text and diverse character rendering. This mixed-model architecture has allowed Pollo AI users to reduce the time spent selecting and switching between models by more than 50%, giving them more time to focus on creativity.
From Static Images to Dynamic Marketing Campaigns
While Pollo AI is highly popular for creating micro-dramas using both AI and human actors, it is increasingly being adopted by marketers and direct-to-consumer (DTC) brands. The platform's Photo to Video Ads tool, part of its Marketing Studio suite, allows businesses to transform standard product photos into short social media advertisements within minutes.
For instance, a fragrance brand utilized the tool to convert a static perfume bottle photo into a 15-second luxury-themed video ad featuring warm lighting, velvet textures, and close-ups, which would have otherwise exceeded their production budget. Similarly, a jewelry brand used Pollo Agent and GPT-Image-2.5 to generate a high-concept editorial campaign featuring a model next to a cheetah, bypassing the need for an expensive studio shoot. Another campaign for a beverage brand transformed a simple peach soda bottle into a playful, imaginative miniature winter landscape featuring a train, lizards, and sparkling droplets. These cases highlight how businesses can leverage advanced AI models to produce high-end marketing assets with lower production effort.
What it means for developers
For developers building generative AI applications, Pollo AI’s architecture offers a practical blueprint for managing multi-model workflows. Instead of forcing end-users to select specific models for different tasks, developers can implement intelligent routing layers. By using a faster, more cost-effective model like GPT-5.6 for orchestration and reserving high-reasoning models like GPT-6 Astra for complex narrative tasks, applications can balance cost, speed, and output quality.
Furthermore, managing multiple APIs from different providers can introduce integration overhead. Developers looking to experiment with and deploy diverse model configurations can access top AI models cheaply through a single, unified API at https://apixoai.online, simplifying the infrastructure required to build multi-model systems.
As the generative AI landscape evolves, success will likely belong to platforms that remove technical friction. By focusing on repeatable templates—which currently initiate 30% of Pollo AI's user sessions—and automated model routing, developers can create more intuitive tools that keep users engaged and reduce project abandonment.
Source: Pollo AI turns creative ideas into campaigns with OpenAI — OpenAI News. Written by the Apixo team from that report.
One key for Claude, GPT, GLM, DeepSeek and more. Pay per token with crypto.
Get your API key
