How to Use Vellum for Chat workflows

An assistant that knows you deeply, evolves alongside you, and belongs to no one else. Powered by memory that remembers the way you do. Confirm live details on vellum.ai before production use.

Practical Chat workflows examples

Example 1

Scenario:
Vellum — Chat workflows (pass 1). Context: An assistant that knows you deeply, evolves alongside you, and belongs to no one else. Powered by memory that remembers the way you do.

Objective:
Deliver a reviewable chat workflows result using Vellum.

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

Workflow:
Open Vellum → Configure for chat workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

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

Example 2

Scenario:
Vellum — Chat workflows (pass 2). Context: An assistant that knows you deeply, evolves alongside you, and belongs to no one else. Powered by memory that remembers the way you do.

Objective:
Deliver a reviewable chat workflows result using Vellum.

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

Workflow:
Open Vellum → Configure for chat workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

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

Example 3

Scenario:
Vellum — Chat workflows (pass 3). Context: An assistant that knows you deeply, evolves alongside you, and belongs to no one else. Powered by memory that remembers the way you do.

Objective:
Deliver a reviewable chat workflows result using Vellum.

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

Workflow:
Open Vellum → Configure for chat workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

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

Example 4

Scenario:
Vellum — Chat workflows (pass 4). Context: An assistant that knows you deeply, evolves alongside you, and belongs to no one else. Powered by memory that remembers the way you do.

Objective:
Deliver a reviewable chat workflows result using Vellum.

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

Workflow:
Open Vellum → Configure for chat workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

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

Example 5

Scenario:
Vellum — Chat workflows (pass 5). Context: An assistant that knows you deeply, evolves alongside you, and belongs to no one else. Powered by memory that remembers the way you do.

Objective:
Deliver a reviewable chat workflows result using Vellum.

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

Workflow:
Open Vellum → Configure for chat workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

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

Checklist before you ship

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