How to Use W&B Weave for Single-goal agent runs

W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications. Confirm live details on docs.wandb.ai/weave before production use.

Practical Single-goal agent runs examples

Example 1

Scenario:
W&B Weave — Single-goal agent runs (pass 1). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications.

Objective:
Deliver a reviewable single-goal agent runs result using W&B Weave.

Inputs:
- Verified facts from docs.wandb.ai/weave
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents, API

Workflow:
Open W&B Weave → Configure for single-goal agent runs → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified W&B Weave capabilities; do not invent features.
- Confirm live details on docs.wandb.ai/weave before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete single-goal agent runs artifact plus a short verification checklist.

Example 2

Scenario:
W&B Weave — Single-goal agent runs (pass 2). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications.

Objective:
Deliver a reviewable single-goal agent runs result using W&B Weave.

Inputs:
- Verified facts from docs.wandb.ai/weave
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents, API

Workflow:
Open W&B Weave → Configure for single-goal agent runs → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified W&B Weave capabilities; do not invent features.
- Confirm live details on docs.wandb.ai/weave before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete single-goal agent runs artifact plus a short verification checklist.

Example 3

Scenario:
W&B Weave — Single-goal agent runs (pass 3). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications.

Objective:
Deliver a reviewable single-goal agent runs result using W&B Weave.

Inputs:
- Verified facts from docs.wandb.ai/weave
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents, API

Workflow:
Open W&B Weave → Configure for single-goal agent runs → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified W&B Weave capabilities; do not invent features.
- Confirm live details on docs.wandb.ai/weave before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete single-goal agent runs artifact plus a short verification checklist.

Example 4

Scenario:
W&B Weave — Single-goal agent runs (pass 4). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications.

Objective:
Deliver a reviewable single-goal agent runs result using W&B Weave.

Inputs:
- Verified facts from docs.wandb.ai/weave
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents, API

Workflow:
Open W&B Weave → Configure for single-goal agent runs → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified W&B Weave capabilities; do not invent features.
- Confirm live details on docs.wandb.ai/weave before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete single-goal agent runs artifact plus a short verification checklist.

Example 5

Scenario:
W&B Weave — Single-goal agent runs (pass 5). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications.

Objective:
Deliver a reviewable single-goal agent runs result using W&B Weave.

Inputs:
- Verified facts from docs.wandb.ai/weave
- Audience, channel, or technical constraints
- Success criteria and forbidden claims
- Relevant product surfaces: Agents, API

Workflow:
Open W&B Weave → Configure for single-goal agent runs → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize

Requirements:
- Use only verified W&B Weave capabilities; do not invent features.
- Confirm live details on docs.wandb.ai/weave before promising volume or pricing.
- Human-review before external publish, send, billing, or compliance use.

Expected output:
A concrete single-goal agent runs artifact plus a short verification checklist.

Checklist before you ship

• Confirm the workflow stays inside verified W&B Weave capabilities
• Review outputs against docs.wandb.ai/weave when accuracy or pricing claims matter
• Keep a short verification list for any claim you would publish externally