How to Use FranzAI for Agents workflows

Open and in-house AI workshops in Vienna - one day to several. AI Computer Use, GEO and AI agents. You bring your real work, you leave with things you built. No coding required. Confirm live details on franzai.com before production use.

Practical Agents workflows examples

Example 1

Scenario:
FranzAI — Agents workflows (pass 1). Context: Open and in-house AI workshops in Vienna - one day to several. AI Computer Use, GEO and AI agents. You bring your real work, you leave with 

Objective:
Deliver a reviewable agents workflows result using FranzAI.

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

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

Requirements:
- Use only verified FranzAI capabilities; do not invent features.
- Confirm live details on franzai.com 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:
FranzAI — Agents workflows (pass 2). Context: Open and in-house AI workshops in Vienna - one day to several. AI Computer Use, GEO and AI agents. You bring your real work, you leave with 

Objective:
Deliver a reviewable agents workflows result using FranzAI.

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

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

Requirements:
- Use only verified FranzAI capabilities; do not invent features.
- Confirm live details on franzai.com 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:
FranzAI — Agents workflows (pass 3). Context: Open and in-house AI workshops in Vienna - one day to several. AI Computer Use, GEO and AI agents. You bring your real work, you leave with 

Objective:
Deliver a reviewable agents workflows result using FranzAI.

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

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

Requirements:
- Use only verified FranzAI capabilities; do not invent features.
- Confirm live details on franzai.com 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:
FranzAI — Agents workflows (pass 4). Context: Open and in-house AI workshops in Vienna - one day to several. AI Computer Use, GEO and AI agents. You bring your real work, you leave with 

Objective:
Deliver a reviewable agents workflows result using FranzAI.

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

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

Requirements:
- Use only verified FranzAI capabilities; do not invent features.
- Confirm live details on franzai.com 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:
FranzAI — Agents workflows (pass 5). Context: Open and in-house AI workshops in Vienna - one day to several. AI Computer Use, GEO and AI agents. You bring your real work, you leave with 

Objective:
Deliver a reviewable agents workflows result using FranzAI.

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

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

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