Logic — Production AI Without the Infrastructure

Product Listing Moderation

Objective

Review a product's title and description to determine if it complies with marketplace policies and produce a clear moderation decision.

Inputs

• Product Title (Text)

• Product Description (Text)

Outputs

A Moderation Decision table with the following columns:

• Status ("Approved" or "Rejected")

• Violations (A list of all policy breaches found)

• Comments (Optional guidance for the seller)

• Recommended Action ("Publish", "Remove", or "Escalate for manual review")

Process

1. Identify Violations: Scan the Product Title and Product Description for any policy breaches, using the criteria defined in the Appendix.

2. Determine Status: Set the Status to "Rejected" if one or more violations were found; otherwise, set it to "Approved".

3. Generate Decision: Populate the Moderation Decision table with the final Status, a list of all identified Violations, and the appropriate Recommended Action.

Appendix: Moderation Rules & Criteria

1. Violation Definitions

2. Decision Logic

3. Special Cases

4. Reference Lists

4.1. Prohibited Items List

4.3. Restricted Language

This includes, but is not limited to:

• Profanity: A list of common profane words.

• Hate Speech: Any slur, discriminatory term, or slander.

• Adult Content: Words describing explicit sexual acts, genitalia, or sexual positions.

4.4. Misleading Claim Keywords

01

Describe what you need

Give Logic a simple spec or plain English description.

02

Get a production endpoint

Typed, tested, versioned, and ready to use.

03

Integrate

Call the API from your app. Ship to production as quickly as your CI/CD lets you.

04

Iterate live

Update business logic anytime. API contracts stay stable.

Task:Schema inference & validation

Task:Retry / fallback logic

Task:Model routing (LLM selection)

Task:Tests & eval harness

Task:Versioning & rollbacks

Task:Logging & tracing

Task:Deploy as stable API

Total time

Without Logic:4-8 weeks

With Logic:Less than 60 seconds

Ship fast, learn fast

Stop waiting for infra to be built before learning anything. Launch production AI immediately, see what works, and keep the winners.

Always use the right model for the job

Logic automatically routes requests to the optimal model across OpenAI, Anthropic, Google, and Perplexity based on complexity, cost, and latency.

Let domain experts iterate

Product and ops teams can update decision rules in plain English (if you want them to). Every change is validated, versioned, and can require engineering approval before deploy. API contracts never break.