ChatGPT + GPT-6 Astra + Codex + HyperFrames
Astra turns the idea into a structured brief and prompt pack. Codex builds the project. HyperFrames turns the plan into an editable HTML/CSS/GSAP composition you can preview, check, and render.
The short verdict
GPT-6 Astra is useful for motion graphics because it can keep a complex brief together, reason over source material, turn loose direction into time-coded decisions, and help an agent carry out the build. HyperFrames still does the composition and rendering work.
Use Astra to decide what the video should say, show, and do. Use Codex to turn that decision into project files. Use HyperFrames to make the motion, timeline, and MP4 concrete.
01 · creative director
Give Astra the audience, source of truth, product images, duration, format, motion language, approved copy, and review criteria. Ask for routes, a storyboard, shot prompts, and a QA checklist.
02 · production agent
Codex can install the HyperFrames skill, inspect assets, create or edit the composition, run preview and checks, and make small targeted revisions without losing the original brief.
03 · composition engine
HyperFrames uses HTML, CSS, GSAP, timelines, assets, captions, and transitions to create a composition that can be previewed in the browser and rendered to MP4.
04 · downstream video workflow
HypeVideo and other downstream tools can take Astra’s structured creative direction into AI UGC, image-to-video, hype, or generative video workflows. Exact controls depend on the tool.
Model card
These are the documented facts that matter when you decide whether Astra belongs in a motion-graphics workflow. Check the official model page for changes.
gpt-6-astraOfficial API model ID.
1.05MContext window for long briefs, source files, and iteration history.128KMaximum output tokens. Ask for a clear output contract instead of a wall of text.Image inImage input is supported. Audio and video input are listed as not supported.
5 levelsReasoning effort: low, medium, high, xhigh, and max.$10 / $50Current listed standard input/output price per million tokens. Verify before publishing.Official benchmark snapshot
OpenAI’s published numbers show reasoning, computer-use, coding, and professional-work performance. They are not a direct test of HyperFrames and do not guarantee better final video.
Relevant to an agent navigating project files, previews, and software surfaces.
Relevant to multi-step automation and layout-oriented tasks, but not a video-quality score.
This is the most directly relevant category when Codex must edit files and run the HyperFrames CLI.
A general reasoning signal: useful for complex briefs, not a prediction of aesthetic taste.
Scores are reported by OpenAI under the evaluation setups described in its GPT-6 Astra benchmark overview.
The repeatable system
Scroll through the rail to see what each tool owns. Keep the brief as an artifact so the next session can resume without rebuilding the whole context.
Give Astra the audience, job, source of truth, duration, aspect ratio, assets, approved claims, and one CTA.
Ask for creative routes, choose one, then turn it into time-coded beats, shot prompts, type rules, and QA checks.
Codex installs the skill, reads BRIEF.md, uses /hyperframes, and builds plain HTML/CSS/GSAP.
Use the browser preview, then run lint and check. Fix timing, collisions, missing assets, contrast, and runtime errors.
Render the MP4, inspect the actual file on the target device, and issue narrow editor-like revision prompts.
npx skills add heygen-com/hyperframes npx hyperframes skills --codex npx hyperframes init my-motion-graphic --example swiss-grid npx hyperframes preview npx hyperframes lint npx hyperframes check npx hyperframes render --output final.mp4
Visual timeline
Astra becomes more useful when every beat has a job. Select a moment below to see how the frame, copy, and motion direction change.
One clear audience tension. No generic “make it viral” language.
interrupt gentlyMove from the problem to the product or idea with one deliberate directional transition.
show the subjectAnimate the proof, label, chart, or UI state that makes the message believable.
make meaning moveEnd with one benefit and one next action. Hold long enough to read on a phone.
one clear CTACopyable prompt lab
These prompts are specific about intent, time, assets, constraints, and review. Select a workflow, copy the prompt, and replace the bracketed fields.
Prompt A
A structured brief for a 12-second social composition.
Using /hyperframes and the /motion-graphics workflow, create a 12-second 9:16 vertical motion graphic for [PRODUCT]. Purpose: [WHAT THE VIDEO MUST MAKE THE VIEWER UNDERSTAND]. Audience: [WHO WILL WATCH]. Tone: clear, editorial, energetic, and restrained. Visual system: - palette: [BACKGROUND], [TYPE COLOR], [ACCENT]; - assets: [EXACT FILE PATHS]; - type: one headline family, two weights, maximum two lines; - motion: smooth layout movement, snappy emphasis, one scale accent; - transitions: short crossfade or directional wipe; no random glitch effects. Timing: - 0.0–2.5s: hook the audience problem; - 2.5–5.5s: reveal the product or idea; - 5.5–9.0s: prove one detail with a label, chart, or UI state; - 9.0–12.0s: show the benefit and one CTA: [CTA]. Keep all text inside safe margins. Do not invent claims, UI, metrics, testimonials, or assets. Keep output deterministic. Show the storyboard first, then build in plain HTML/CSS/GSAP. Run preview, lint, and check before rendering.
Prompt B
Use this once the Astra brief is saved as BRIEF.md.
Use ChatGPT Codex as the production agent. Read BRIEF.md and inspect every referenced asset before editing. Install or verify the HyperFrames skill, then use /hyperframes with the route named in the brief. Build the motion-graphics composition in the existing project. Use the stated duration, aspect ratio, type hierarchy, motion language, scene timing, safe zones, and approved copy. Before editing, summarize the source of truth, list the assets you found, identify unsupported requests, and show a four-beat storyboard. Build in plain HyperFrames HTML/CSS/GSAP. Do not use React or Vue. Do not invent product claims, UI, metrics, testimonials, or integrations. Keep output deterministic. Run npx hyperframes preview, npx hyperframes lint, and npx hyperframes check. Fix the highest-impact issue first. Only after the checks pass, run npx hyperframes render --output final.mp4. Return the output path, duration, dimensions, and a short QA report.
Prompt C
Use Astra to create the script and shot plan before a downstream UGC generator renders it.
Act as an ethical UGC creative director and prompt engineer. Product: [PRODUCT] Audience: [SPECIFIC AUDIENCE] Situation: [REAL MOMENT WHEN THEY NEED IT] Product truth: [ONE VERIFIED CAPABILITY] Proof: [ONE DEMO OR SOURCE] CTA: [ONE REASONABLE NEXT ACTION] Channel: [TIKTOK / REELS / SHORTS] Return three hooks, one selected script with natural pauses, a time-coded shot list, B-roll, caption-safe on-screen text, three alternate hooks, and claim-review notes. Use a specific creator archetype without imitating a living person or inventing first-hand experience. Do not add unsupported metrics, testimonials, guarantees, or features. Open with the audience situation, show the product before the midpoint, use one proof point, and end with one CTA. Mark every fact that needs approval.
Astra can create the production brief and prompt pack. The downstream tool determines how footage, voices, people, captions, and generative visuals are rendered.
The builder’s desk
“Download HyperFrames” means installing the agent skills and scaffolding a project. It does not turn Astra into a video model. It gives Codex the framework vocabulary and project surface needed for a renderable composition.
AI UGC prompts
For UGC, Astra’s strongest job is not pretending to be a real customer. It is turning product truth into a believable situation, clear hook, natural script, shot plan, and variations that preserve the same claim.
Start with the moment the audience recognizes, not a generic “you need this” line.
Show one product detail, demo, or source that supports the benefit.
Describe context and energy without imitating a living person or fabricating first-hand use.
Change the hook and first shot while keeping the approved truth and CTA stable.
Connect the workflow
Use HypeVideo when the concept needs AI people, voice, synthetic footage, image-to-video, or UGC-style performance. Use HyperFrames when exact type, UI, captions, charts, and deterministic timing matter most.
An honest review
The workflow is powerful because it is explicit. It is also not automatic. The most important review decisions remain human decisions.
The official model page lists image input, while audio and video input are not supported. Use transcripts, screenshots, storyboards, contact sheets, or extracted keyframes when you need review context.
Strong reasoning and computer-use results may help the workflow. They do not prove a particular aesthetic, animation, continuity, or final export will be good.
A generated creator should not be presented as a genuine customer or personal testimonial without real evidence and authorization.
Inspect type, captions, contrast, claims, timing, audio, dimensions, and the final CTA on the device where the audience will watch.
Questions worth answering
GPT-6 Astra is an OpenAI model designed for complex reasoning, coding, computer use, research, and professional work. It can create the motion-graphics brief, storyboard, prompt pack, and QA plan.
No. The official model page lists image input but audio and video input as not supported. Astra can plan video work, while a downstream generator or HyperFrames composition creates the video.
HyperFrames is an AI-agent-oriented HTML/CSS/GSAP video composition and rendering workflow. An agent can author a project, preview it, run checks, and render an MP4.
Use Astra to create a structured brief and prompt pack, install the HyperFrames skill, scaffold a project, open it in Codex, and ask Codex to build, preview, check, and render the composition.
The documented workflow uses npx skills add heygen-com/hyperframes and npx hyperframes init my-video --example swiss-grid. Check the current CLI documentation for changes.
Yes. Astra can produce audience-specific hooks, scripts, shot lists, captions, variations, and claim-review notes. A downstream AI video or UGC tool is still needed to render people, voices, or synthetic footage.
No. OpenAI’s benchmark scores measure reasoning, computer use, coding, professional work, or academic tasks. They are not a direct test or guarantee of final video quality.
The official model page lists audio and video input as not supported. Use a transcript, storyboard, contact sheet, screenshots, or extracted keyframes instead.
Source library
This guide is maintained against official OpenAI and HyperFrames sources. Availability, pricing, model behavior, and workflow commands can change.
Model ID, context, output, modalities, pricing, tools, endpoints, and rate limits.
Prompting behavior, reasoning effort, migration notes, and Responses API guidance.
OpenAI’s benchmark tables, launch context, availability, and evaluation caveats.
Prompt shapes, routes, motion vocabulary, iteration patterns, and framework rules.
Install, preview, lint, render, transcribe, skills, and project commands.
Install the skill, initialize a project, describe the video with an agent, and publish.
Written by the HypeVideo editorial team · Research updated September 5, 2026Build the first cut
Use the prompt lab to turn the idea into a structured brief, then take it into the AI video or UGC workflow that fits the job.