Every model on HeyOz makes something. One model decides what to make. The HeyOz agent runs on GPT-6 Astra, OpenAI's most capable and most aligned model, released September 2026 and state of the art on computer use, browsing, and professional work. You hand it a brief. It plans the campaign, picks the right generation model for each asset, and produces the work.
Full campaigns from one brief. Concepts, scripts, images, video, and the variant set underneath them, planned and produced end to end rather than prompted one asset at a time.
Delegate the campaign, not the clicks.
Describe the outcome you want. The product, the audience, the channel, how many variants, what the offer is. Attach your brand guidelines, product photography, and anything that has performed before. You are briefing a team, not filling in a form, so context is more useful than instructions.
The agent will come back with a small number of real questions, the ones where your answer changes the work. Everything else it resolves from what you gave it. Answer those, and it plans the campaign, chooses the right generation model per asset, and starts producing.
Watch the work land and redirect it mid-task if it is heading the wrong way. Change the hook, drop a variant, tighten the script. It absorbs the note and carries on with the rest of the brief intact. Nothing leaves your account until you approve it.
The reason our agent can be trusted with multi-step work. Astra was built for exactly this: long tasks, real tools, and judgment about when to ask.
Astra leads on the benchmarks that measure whether a model can actually finish work rather than describe it. It scores 59.3% on Agents' Last Exam, which tests complex professional tasks in real software, and 41.4% on AutomationBench against 18.1% for the previous generation. It is also faster: on OSWorld it hits higher accuracy in roughly 47% less time per task.
Anyone who has used an AI agent knows the failure: you send one correction and it forgets the original job. Earlier models treated a steering message as a brand new goal. Astra folds the new requirement into the work already in progress, changes course when you ask, and answers a side question without dropping the brief or the constraints you set twenty minutes ago.
Briefs are never complete. Astra fills routine gaps from context instead of stopping to ask, and raises a focused question only when the answer would genuinely change the outcome. On consequential decisions it waits for you. On everything else it proceeds with sensible assumptions and keeps working, which is the difference between an agent and a very polite queue of questions.
This is the part that matters when software acts on your behalf. On OpenAI's test of whether a model exceeds its authorised scope on a difficult task, the previous generation did so 48% of the time. Astra did it in 0% of cases. On their internal computer-use safety benchmark it misbehaves at 2.4% against 22.0%, it never attempted to work around a review gate, and it is three times less likely to overstate what it can actually do.
One agent across the whole job, not one prompt per asset.
GPT-6 Astra is OpenAI's frontier model, released on 3 September 2026 and described by them as the world's most intelligent and aligned model. It is state of the art on computer use, browsing, software engineering, science, and professional work, and it carries a one-million-token context window. On HeyOz it is not a model you generate images or video with, it is the model that runs the agent.
Because an agent is only as good as its judgment over a long task. Astra leads the benchmarks for finishing real work in real software, stays oriented when a brief changes mid-flight, and is measurably the most aligned model OpenAI has shipped. It is also efficient: Higgsfield reported it executing their most complex creative workflows with up to 20% fewer tokens than other frontier models they tested.
It acts on the routine calls and asks about the consequential ones, which is what makes the delegation worth anything. Astra is specifically trained to respect the boundaries of the task it was given, and it is the first model in OpenAI's testing that never exceeded its authorised scope on their scope-creep evaluation. Nothing publishes or spends without your approval.
Yes, and at the scale brand context actually needs. Astra holds a million tokens of context and retrieves accurately deep into it, scoring 96.3% on OpenAI's long-context retrieval test in the 512K to 1M range. That means your guidelines, your past performers, your product catalogue, and the whole thread of a campaign stay live in the work rather than being summarised away.
Pick the right engine for the job - all in one place.
Start Now. No agency, no brief, no blank screen.