In this session of Ziflow Academy, we'll introduce ReviewAI and the ideas behind it before you dive into the hands-on modules. You'll learn what ReviewAI does, how it uses prompts to check your assets, why its results are suggestions that leave humans in control, and how checks get more reliable over time.
Topics covered:
- What ReviewAI Is – Bringing speed, clarity, and compliance to every review while keeping human creativity in control
- How ReviewAI Works – Using a ReviewAI prompt to check an asset's content and metadata and return a suggested result
- Suggested Results & Ground Truth – Why ReviewAI results are suggestions, and how a reviewer's final decision sets the ground truth
- The Reliability Score – How reviewer agreement is measured across a minimum of 10 proofs
- Refining & Testing Your Checks – Writing structured prompts (or using Improve Prompt), then iterating with check testing
- What ReviewAI Can Check – Content, metadata, and using Reference Data as the source of truth
After this video, you'll be able to:
- Explain what ReviewAI does and how it fits into the Ziflow review process
- Describe how a ReviewAI prompt checks an asset's content and metadata
- Understand why results are suggestions and how a human decision sets the ground truth
- Understand how the Reliability Score reflects reviewer agreement over time
- Recognize the range of checks ReviewAI can run, from content to metadata
For more information, check out these resources in our Help Center:
- About ReviewAI
- Set up ReviewAI
- ReviewAI prompt description guidelines
- Create and edit ReviewAI prompt descriptions
- Define how ReviewAI writes suggested comments
- Run ReviewAI
- How ReviewAI uses your data
Go to Module 1: Building a checklist
This video references features that are only available in certain Ziflow plans. For a clear breakdown of what’s included in your plan, visit ziflow.com/pricing.
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