How to Use Z.ai for Agents workflows

Z.ai is an AI chatbot and agent platform powered by GLM models for building landing pages, games, 3D models, and other creative projects from prompts. Confirm live details on chat.z.ai before production use.

Practical Agents workflows examples

Example 1

Scenario:
Z.ai — Agents workflows (pass 1). Context: Z.ai is an AI chatbot and agent platform powered by GLM models for building landing pages, games, 3D models, and other creative projects fro

Objective:
Deliver a reviewable agents workflows result using Z.ai.

Inputs:
- Verified facts from chat.z.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, Agents, Image Generation

Workflow:
Open Z.ai → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete agents workflows artifact plus a short verification checklist.

Example 2

Scenario:
Z.ai — Agents workflows (pass 2). Context: Z.ai is an AI chatbot and agent platform powered by GLM models for building landing pages, games, 3D models, and other creative projects fro

Objective:
Deliver a reviewable agents workflows result using Z.ai.

Inputs:
- Verified facts from chat.z.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, Agents, Image Generation

Workflow:
Open Z.ai → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete agents workflows artifact plus a short verification checklist.

Example 3

Scenario:
Z.ai — Agents workflows (pass 3). Context: Z.ai is an AI chatbot and agent platform powered by GLM models for building landing pages, games, 3D models, and other creative projects fro

Objective:
Deliver a reviewable agents workflows result using Z.ai.

Inputs:
- Verified facts from chat.z.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, Agents, Image Generation

Workflow:
Open Z.ai → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete agents workflows artifact plus a short verification checklist.

Example 4

Scenario:
Z.ai — Agents workflows (pass 4). Context: Z.ai is an AI chatbot and agent platform powered by GLM models for building landing pages, games, 3D models, and other creative projects fro

Objective:
Deliver a reviewable agents workflows result using Z.ai.

Inputs:
- Verified facts from chat.z.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, Agents, Image Generation

Workflow:
Open Z.ai → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete agents workflows artifact plus a short verification checklist.

Example 5

Scenario:
Z.ai — Agents workflows (pass 5). Context: Z.ai is an AI chatbot and agent platform powered by GLM models for building landing pages, games, 3D models, and other creative projects fro

Objective:
Deliver a reviewable agents workflows result using Z.ai.

Inputs:
- Verified facts from chat.z.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, Agents, Image Generation

Workflow:
Open Z.ai → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete agents workflows artifact plus a short verification checklist.

Checklist before you ship

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