How to Use AI21 for Human-in-the-loop review

AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and scalable AI. Confirm live details on ai21.com before production use.

Practical Human-in-the-loop review examples

Example 1

Scenario:
AI21 — Human-in-the-loop review (pass 1). Context: AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and 

Objective:
Deliver a reviewable human-in-the-loop review result using AI21.

Inputs:
- Verified facts from ai21.com
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents

Workflow:
Open AI21 → Configure for human-in-the-loop review → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified AI21 capabilities; do not invent features.
- Confirm live details on ai21.com before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete human-in-the-loop review artifact plus a short verification checklist.

Example 2

Scenario:
AI21 — Human-in-the-loop review (pass 2). Context: AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and 

Objective:
Deliver a reviewable human-in-the-loop review result using AI21.

Inputs:
- Verified facts from ai21.com
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents

Workflow:
Open AI21 → Configure for human-in-the-loop review → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified AI21 capabilities; do not invent features.
- Confirm live details on ai21.com before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete human-in-the-loop review artifact plus a short verification checklist.

Example 3

Scenario:
AI21 — Human-in-the-loop review (pass 3). Context: AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and 

Objective:
Deliver a reviewable human-in-the-loop review result using AI21.

Inputs:
- Verified facts from ai21.com
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents

Workflow:
Open AI21 → Configure for human-in-the-loop review → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified AI21 capabilities; do not invent features.
- Confirm live details on ai21.com before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete human-in-the-loop review artifact plus a short verification checklist.

Example 4

Scenario:
AI21 — Human-in-the-loop review (pass 4). Context: AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and 

Objective:
Deliver a reviewable human-in-the-loop review result using AI21.

Inputs:
- Verified facts from ai21.com
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents

Workflow:
Open AI21 → Configure for human-in-the-loop review → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified AI21 capabilities; do not invent features.
- Confirm live details on ai21.com before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete human-in-the-loop review artifact plus a short verification checklist.

Example 5

Scenario:
AI21 — Human-in-the-loop review (pass 5). Context: AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and 

Objective:
Deliver a reviewable human-in-the-loop review result using AI21.

Inputs:
- Verified facts from ai21.com
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents

Workflow:
Open AI21 → Configure for human-in-the-loop review → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified AI21 capabilities; do not invent features.
- Confirm live details on ai21.com before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete human-in-the-loop review artifact plus a short verification checklist.

Checklist before you ship

• Confirm the workflow stays inside verified AI21 capabilities
• Review outputs against ai21.com when accuracy or pricing claims matter
• Keep a short verification list for any claim you would publish externally