# A practical review checklist for model licenses

Illustrative editorial sample. This draft describes a general workflow, not a current announcement, quotation or measured benchmark. It requires editorial review before publication.

## A practical starting point

A sample due-diligence workflow for adopting downloadable models.

## 1. Define the boundary

Read the exact model license, accompanying notices and intended-use documentation. Public weights alone do not settle usage rights.

## 2. Inspect the evidence

Inventory the tokenizer, runtime, dependencies and datasets relevant to your deployment. Keep version references with the review.

## 3. Make the decision explicit

Evaluate fit on your own tasks and hardware. Avoid substituting an unrelated leaderboard result for a product decision.

## 4. Test the failure path

Document update ownership, security response and rollback. Obtain qualified advice for unresolved legal questions before deployment.

## Review before use

Adapt this checklist to your application, record the assumptions and verify any product-specific facts against primary sources. This sample does not provide a news report, legal opinion or performance guarantee.


A sample due-diligence workflow for adopting downloadable models.

A practical review checklist for model licenses

Sample Editorial Desk

# Designing an agent that knows when to ask

Illustrative editorial sample. This draft describes a general workflow, not a current announcement, quotation or measured benchmark. It requires editorial review before publication.

## A practical starting point

An illustrative approval workflow for tools that change external systems.

## 1. Define the boundary

Start with a narrow task and an explicit list of tools. Give the agent the minimum access required for that task.

## 2. Inspect the evidence

Separate a proposed action from its execution. Show the exact target, changes and consequences before approval.

## 3. Make the decision explicit

Bind approval to a specific request and revision. If the resource changes during review, inspect it again.

## 4. Test the failure path

Keep a useful event trail: requested action, tool response, approval and result. Test cancellation and partial failure as carefully as success.

## Review before use

Adapt this checklist to your application, record the assumptions and verify any product-specific facts against primary sources. This sample does not provide a news report, legal opinion or performance guarantee.


An illustrative approval workflow for tools that change external systems.

Designing an agent that knows when to ask

# Treat retrieved instructions as untrusted content

Illustrative editorial sample. This draft describes a general workflow, not a current announcement, quotation or measured benchmark. It requires editorial review before publication.

## A practical starting point

An illustrative security review for systems that read documents and use tools.

## 1. Define the boundary

Identify the trust boundary between application instructions and retrieved material. A document should not grant new permissions.

## 2. Inspect the evidence

Authorize each tool call using application identity and policy. Do not rely on the model to enforce access control.

## 3. Make the decision explicit

Redact secrets before context construction. Include only resources the current user is permitted to inspect.

## 4. Test the failure path

Test hostile text, misleading links, malformed outputs and attempts to access another account. Verify rejection without leaking private context.

## Review before use

Adapt this checklist to your application, record the assumptions and verify any product-specific facts against primary sources. This sample does not provide a news report, legal opinion or performance guarantee.


An illustrative security review for systems that read documents and use tools.

Treat retrieved instructions as untrusted content

# Design retrieval around evidence, not more context

Illustrative editorial sample. This draft describes a general workflow, not a current announcement, quotation or measured benchmark. It requires editorial review before publication.

## A practical starting point

An illustrative retrieval workflow with clear source ownership and failure handling.

## 1. Define the boundary

Define the question types the collection is meant to answer. Track document origin, access rights and update time.

## 2. Inspect the evidence

Choose chunking and retrieval settings using representative queries. Inspect the actual retrieved passages instead of only the final response.

## 3. Make the decision explicit

Link answers to evidence that supports the claim. If a passage does not answer the question, allow the system to say so.

## 4. Test the failure path

Test stale, contradictory and inaccessible documents. Enforce document permissions before retrieval and before displaying citations.

## Review before use

Adapt this checklist to your application, record the assumptions and verify any product-specific facts against primary sources. This sample does not provide a news report, legal opinion or performance guarantee.


An illustrative retrieval workflow with clear source ownership and failure handling.

Design retrieval around evidence, not more context

# Before the headline: a checklist for verifying AI announcements

Illustrative editorial sample. This draft describes a general workflow, not a current announcement, quotation or measured benchmark. It requires editorial review before publication.

## A practical starting point

Separate a primary announcement from commentary before drafting a news story.

## 1. Define the boundary

Find the dated announcement on the organization’s own website. Record both the event date and the date you checked it.

## 2. Inspect the evidence

Compare the announcement with the release notes, model card or technical report it references. Mark missing details rather than filling them in.

## 3. Make the decision explicit

Distinguish availability, demonstrations and measured capability. A planned release is not a deployed product.

## 4. Test the failure path

Keep quotations exact and attributed. Do not turn marketing language into an independent benchmark claim.

## Review before use

Adapt this checklist to your application, record the assumptions and verify any product-specific facts against primary sources. This sample does not provide a news report, legal opinion or performance guarantee.


Separate a primary announcement from commentary before drafting a news story.

Before the headline: a checklist for verifying AI announcements

# Build a model API boundary you can change later

Illustrative editorial sample. This draft describes a general workflow, not a current announcement, quotation or measured benchmark. It requires editorial review before publication.

## A practical starting point

An illustrative integration checklist that keeps provider details out of product flows.

## 1. Define the boundary

Put provider requests behind a small server-side interface. Keep API credentials out of browser code, logs and sample configuration.

## 2. Inspect the evidence

Validate input and output against the product’s own contract. Treat generated output as data that may be incomplete or unexpected.

## 3. Make the decision explicit

Set bounded timeouts and cancellation. Decide which requests may be retried safely, and show an honest failure state.

## 4. Test the failure path

Measure latency and cost on representative tasks before choosing defaults. Keep a fallback policy explicit and test it with recorded fixtures.

## Review before use

Adapt this checklist to your application, record the assumptions and verify any product-specific facts against primary sources. This sample does not provide a news report, legal opinion or performance guarantee.


An illustrative integration checklist that keeps provider details out of product flows.

Build a model API boundary you can change later

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A practical review checklist for model licenses