How to Use AgentKit for Agents workflows

Build a custom AI agent from your website, docs, and FAQs. Embed it on any site with one script tag, answer customer questions 24/7, and take action. Confirm live details on agentkit.ai before production use.

Practical Agents workflows examples

Example 1

Scenario:
AgentKit — Agents workflows (pass 1). Context: Build a custom AI agent from your website, docs, and FAQs. Embed it on any site with one script tag, answer customer questions 24/7, and tak

Objective:
Deliver a reviewable agents workflows result using AgentKit.

Inputs:
- Verified facts from agentkit.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, API, Automation, Agents

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

Requirements:
- Use only verified AgentKit capabilities; do not invent features.
- Confirm live details on agentkit.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:
AgentKit — Agents workflows (pass 2). Context: Build a custom AI agent from your website, docs, and FAQs. Embed it on any site with one script tag, answer customer questions 24/7, and tak

Objective:
Deliver a reviewable agents workflows result using AgentKit.

Inputs:
- Verified facts from agentkit.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, API, Automation, Agents

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

Requirements:
- Use only verified AgentKit capabilities; do not invent features.
- Confirm live details on agentkit.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:
AgentKit — Agents workflows (pass 3). Context: Build a custom AI agent from your website, docs, and FAQs. Embed it on any site with one script tag, answer customer questions 24/7, and tak

Objective:
Deliver a reviewable agents workflows result using AgentKit.

Inputs:
- Verified facts from agentkit.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, API, Automation, Agents

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

Requirements:
- Use only verified AgentKit capabilities; do not invent features.
- Confirm live details on agentkit.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:
AgentKit — Agents workflows (pass 4). Context: Build a custom AI agent from your website, docs, and FAQs. Embed it on any site with one script tag, answer customer questions 24/7, and tak

Objective:
Deliver a reviewable agents workflows result using AgentKit.

Inputs:
- Verified facts from agentkit.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, API, Automation, Agents

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

Requirements:
- Use only verified AgentKit capabilities; do not invent features.
- Confirm live details on agentkit.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:
AgentKit — Agents workflows (pass 5). Context: Build a custom AI agent from your website, docs, and FAQs. Embed it on any site with one script tag, answer customer questions 24/7, and tak

Objective:
Deliver a reviewable agents workflows result using AgentKit.

Inputs:
- Verified facts from agentkit.ai
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Chat, API, Automation, Agents

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

Requirements:
- Use only verified AgentKit capabilities; do not invent features.
- Confirm live details on agentkit.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 AgentKit capabilities
• Review outputs against agentkit.ai when accuracy or pricing claims matter
• Keep a short verification list for any claim you would publish externally