How to Use Tana for Output refinement passes

Tana is an agentic meeting platform. Work gets done in the meeting, not after. Agents create documents, file issues, and update your context graph while you talk. And each meeting makes future meetings smarter. Confirm live details on tana.inc before production use.

Practical Output refinement passes examples

Example 1

Scenario:
Tana — Output refinement passes (pass 1). Context: Tana is an agentic meeting platform. Work gets done in the meeting, not after. Agents create documents, file issues, and update your context

Objective:
Deliver a reviewable output refinement passes result using Tana.

Inputs:
- Verified facts from tana.inc
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Tana → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 2

Scenario:
Tana — Output refinement passes (pass 2). Context: Tana is an agentic meeting platform. Work gets done in the meeting, not after. Agents create documents, file issues, and update your context

Objective:
Deliver a reviewable output refinement passes result using Tana.

Inputs:
- Verified facts from tana.inc
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Tana → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 3

Scenario:
Tana — Output refinement passes (pass 3). Context: Tana is an agentic meeting platform. Work gets done in the meeting, not after. Agents create documents, file issues, and update your context

Objective:
Deliver a reviewable output refinement passes result using Tana.

Inputs:
- Verified facts from tana.inc
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Tana → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 4

Scenario:
Tana — Output refinement passes (pass 4). Context: Tana is an agentic meeting platform. Work gets done in the meeting, not after. Agents create documents, file issues, and update your context

Objective:
Deliver a reviewable output refinement passes result using Tana.

Inputs:
- Verified facts from tana.inc
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Tana → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Example 5

Scenario:
Tana — Output refinement passes (pass 5). Context: Tana is an agentic meeting platform. Work gets done in the meeting, not after. Agents create documents, file issues, and update your context

Objective:
Deliver a reviewable output refinement passes result using Tana.

Inputs:
- Verified facts from tana.inc
- Audience, channel, or technical constraints
- Success criteria and forbidden claims

Workflow:
Open Tana → Configure for output refinement passes → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

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

Expected output:
A concrete output refinement passes artifact plus a short verification checklist.

Checklist before you ship

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