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Pollo AI builds Pollo Agent on OpenAI's GPT-6 Astra and GPT-Image-2.5

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Pollo AI builds Pollo Agent on OpenAI's GPT-6 Astra and GPT-Image-2.5

OpenAI has published a customer story about Pollo AI, a platform for making videos, ads and other visual content. Founder and CEO Bill Zhu says the company was built on the idea that people should be able to turn creative ideas into finished images and videos without production expertise. Even with generative AI, the article says, creators and marketers struggle to navigate different tools and choose between models, and some abandon projects in frustration. Zhu's stated goal: "We want to do for video what Canva did for design." Pollo AI now serves more than 26 million users.

The company's first breakthrough was video templates. Today 30% of creator sessions start from these templates or trending-format workflows. Its latest product is Pollo Agent, which uses OpenAI models, including GPT-6 Astra and GPT-Image-2.5, to give users a fully guided video-creation workflow. The agent interprets a user's rough ideas and visual references, then develops storylines, scene flows and scripts. CTO Peter Zhou says OpenAI models stood out for understanding ambiguous creative inputs and for their multimodal capability, adding: "GPT-5.6 performed especially well there." The team also says it values the OpenAI API's stability and release cadence.

To balance reasoning depth, speed and cost, Pollo AI uses GPT-5.6 for routing and GPT-6 Astra for harder work such as developing a narrative or planning scene revisions. The model mix lets the system match the level of reasoning to the user's prompt. Pollo AI reports that users spend more than 50% less time choosing or switching models. The article does not give a baseline for that figure.

Pollo AI tests generative models against real user prompts and workflows, judging output quality, consistency, stylistic range, speed and cost. GPT-Image-2.5 was picked for image generation, for posters, storyboards and campaign visuals. An unattributed quote in the article says that whenever a user asks for an image, Pollo always uses GPT-Image-2.5, and that it is especially good with different types of characters and letters.

The primary users are content creators, and the platform is especially popular for micro dramas with both AI and human actors. More marketers and business owners are starting to use it too. For them there is Photo to Video Ads, a tool in the Marketing Studio suite that uses OpenAI models to turn a still image and a prompt into a short video. It is designed to help small businesses and direct-to-consumer (DTC) brands make social media product ads in minutes rather than days.

The story gives three unnamed customer examples. A user who wanted a luxurious fragrance ad, and could not afford a professional shoot, turned a product photo into a roughly 15-second video with velvet textures, warm spotlights and bottle close-ups, ending on the fragrance framed against deep red fabric. A jewelry brand used Pollo Agent and GPT-Image-2.5 to create an editorial image of its statement jewelry on a model seated beside a cheetah, with dark drapery and warm lighting and the products clearly visible; the article says this cost less effort, time and money than a live shoot, with no figures. A beverage brand turned a plain bottle image of its peach soda into a snowy miniature landscape with a train, lizards and sparkling droplets for a campaign.

Looking ahead, Pollo wants AI video to become part of everyday content creation over the next 12 months. Zhu says that depends on making it easier still to turn an idea into an asset ready to post, test or use in a campaign. He adds: "We think the AI shift in content creation will favor products that make creation more repeatable from the start, with stronger formats, less trial and error, and a simpler workflow around the models themselves."

Key facts

  • Pollo AI says it serves more than 26 million users; 30% of creator sessions start from video templates or trending-format workflows.
  • Pollo Agent turns rough ideas and visual references into storylines, scene flows and scripts, using OpenAI models including GPT-6 Astra and GPT-Image-2.5.
  • GPT-5.6 handles routing; GPT-6 Astra takes harder tasks such as developing a narrative or planning scene revisions. Pollo AI reports users spend more than 50% less time choosing or switching models.
  • GPT-Image-2.5 handles image generation for posters, storyboards and campaign visuals; Photo to Video Ads in Marketing Studio turns a still image and prompt into a short video.
  • Examples include a roughly 15-second fragrance ad, a jewelry campaign image and a peach soda scene; the article gives no time or cost figures for them.

Why it matters

The story shows one concrete way a consumer creative product splits work across several OpenAI models: a lighter model routes each request and a stronger one handles the harder reasoning, so users do not have to pick a model themselves. Pollo AI says that cut the time spent choosing or switching models by more than 50%. It is also a product-level answer to a problem the article names: creators and marketers get lost choosing between tools and models, and some give up.

Who it affects

The article names content creators as Pollo AI's primary users, with micro dramas using both AI and human actors a particular draw. Marketers, business owners, small businesses and DTC brands are a growing group, and the examples are a fragrance seller, a jewelry brand and a beverage brand that say a professional shoot was beyond their budget or could not capture their idea. Teams building multi-model products may also find the routing setup a useful reference.

How to use it

Pollo Agent offers a guided workflow: the user supplies rough ideas and visual references, and the agent develops storylines, scene flows and scripts. For ads, the Photo to Video Ads tool in the Marketing Studio suite takes a product photo and a prompt and returns a short video. Image requests go to GPT-Image-2.5. No pricing, token costs or launch date for Pollo Agent are given in the article.

How solid is it

This is a first-party OpenAI customer story, so it reads as marketing. The hard numbers are few: more than 26 million users (the article does not say whether these are monthly, active or registered) and 30% of creator sessions starting from templates or trending formats. The more-than-50% time saving is reported by Pollo AI, with no baseline or method stated. The customer examples are unnamed and qualitative. No details of GPT-6 Astra, GPT-5.6 or GPT-Image-2.5 specifications or benchmarks are given.

Risks and caveats

Claims of lower cost and time versus a live shoot come with no figures. The article does not state revenue, funding or valuation for Pollo AI. Two quotes, including the one about always using GPT-Image-2.5, carry no named speaker. The 12-month goal for everyday AI video is an aspiration, not a result. Because the piece comes from OpenAI and praises OpenAI models, it offers no comparison with other vendors' models.

“We want to do for video what Canva did for design. We want to make it easy enough that more people can actually use it, not just the ones who already know how.”

— Bill Zhu, founder and CEO of Pollo AI