How to Use Sora by OpenAI for Output refinement passes

Sora 2 is our new powerful media generation model, generating videos with synced audio. It can create richly detailed, dynamic clips from natural language or images. Confirm live details on platform.openai.com/docs/models/sora-2 before production use.

Practical Output refinement passes examples

Example 1

Scenario:
Sora by OpenAI — Output refinement passes (pass 1). Context: Sora 2 is our new powerful media generation model, generating videos with synced audio. It can create richly detailed, dynamic clips from na

Objective:
Deliver a reviewable output refinement passes result using Sora by OpenAI.

Inputs:
- Verified facts from platform.openai.com/docs/models/sora-2
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Sora by OpenAI → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified Sora by OpenAI capabilities; do not invent features.
- Confirm live details on platform.openai.com/docs/models/sora-2 before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 2

Scenario:
Sora by OpenAI — Output refinement passes (pass 2). Context: Sora 2 is our new powerful media generation model, generating videos with synced audio. It can create richly detailed, dynamic clips from na

Objective:
Deliver a reviewable output refinement passes result using Sora by OpenAI.

Inputs:
- Verified facts from platform.openai.com/docs/models/sora-2
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Sora by OpenAI → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified Sora by OpenAI capabilities; do not invent features.
- Confirm live details on platform.openai.com/docs/models/sora-2 before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 3

Scenario:
Sora by OpenAI — Output refinement passes (pass 3). Context: Sora 2 is our new powerful media generation model, generating videos with synced audio. It can create richly detailed, dynamic clips from na

Objective:
Deliver a reviewable output refinement passes result using Sora by OpenAI.

Inputs:
- Verified facts from platform.openai.com/docs/models/sora-2
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Sora by OpenAI → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified Sora by OpenAI capabilities; do not invent features.
- Confirm live details on platform.openai.com/docs/models/sora-2 before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 4

Scenario:
Sora by OpenAI — Output refinement passes (pass 4). Context: Sora 2 is our new powerful media generation model, generating videos with synced audio. It can create richly detailed, dynamic clips from na

Objective:
Deliver a reviewable output refinement passes result using Sora by OpenAI.

Inputs:
- Verified facts from platform.openai.com/docs/models/sora-2
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Sora by OpenAI → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified Sora by OpenAI capabilities; do not invent features.
- Confirm live details on platform.openai.com/docs/models/sora-2 before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 5

Scenario:
Sora by OpenAI — Output refinement passes (pass 5). Context: Sora 2 is our new powerful media generation model, generating videos with synced audio. It can create richly detailed, dynamic clips from na

Objective:
Deliver a reviewable output refinement passes result using Sora by OpenAI.

Inputs:
- Verified facts from platform.openai.com/docs/models/sora-2
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Sora by OpenAI → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified Sora by OpenAI capabilities; do not invent features.
- Confirm live details on platform.openai.com/docs/models/sora-2 before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Checklist before you ship

• Confirm the workflow stays inside verified Sora by OpenAI capabilities
• Review outputs against platform.openai.com/docs/models/sora-2 when accuracy or pricing claims matter
• Keep a short verification list for any claim you would publish externally