Evaluate AI prompts and outputs at each product boundary

Check prompts before generation, evaluate outputs before delivery or public sharing, and keep the two decisions connected to the same conversation.

AI products create content in both directions: users submit prompts and source material, while models return text, images, and links. Insion gives each boundary a configurable policy and a retained result; your application decides whether to block, replace, retry, review, or deliver the content.

Treat prompts and outputs as separate decisions

A text assistant may later accept images, retrieve external pages, publish shared outputs, or support community templates. If each mode gets a separate filter, decisions become inconsistent and user history fragments. Reviewers then absorb the difficult outputs while engineering maintains record state and account enforcement around multiple model providers.

Insion provides the connective infrastructure. Your team still defines which content is permitted and how your application responds, but it does not have to recreate the lifecycle for every input and output.

Preserve model, feature, and visibility context

Moderate prompts, user instructions, uploaded images, retrieved links, generated answers, generated images, public galleries, templates, and user profiles. Keep the feature, model family, visibility, and conversation attached to each decision.

Use an immediate check when generation or publication must wait for a decision. Process outputs in the background when the experience can continue. The same user and conversation connect prompt and output decisions across product modes.

Define allowed transformations and prohibited outputs

Hate and harassment, Violence, Self-harm, Sexual content involving minors, Adult content, Illegal drugs, Privacy and doxxing, and Phishing are relevant presets. Add rules that reflect your product: allow analysis, transformation, and good faith reporting while flagging generated phishing copy, targeted threats, exposure of private information, or instructions that violate your service policy.

Apply the result at the right AI boundary

Your product owns the final experience. Insion supplies the decision and record needed to make that response consistent. Developers can use the API overview when they are ready to connect the flow.

Convert the moderation result into AI product behavior

Your application can stop generation, replace an output, prevent public sharing, or request a safer retry after an immediate check. For background checks, Insion reports flagged and compliant changes when the result is ready. Those actions are implemented by your product rather than performed by Insion automatically.

User status events let restrictions apply across multiple AI tools. Configure the flagged-record threshold that should suspend a user; protected users remain outside automated action. Appeals give eligible suspended users a structured path to request review.

One integration now covers inputs, outputs, images, links, account state, and a durable decision trail. New model features inherit the same moderation process instead of creating another safety stack.

Roll out by model boundary

Begin with the interaction where a bad decision creates the greatest exposure: a publicly shared output, an image generation request, or an assistant that can follow external links. Run your policy in test mode first. Insion will evaluate and store records without triggering downstream moderation webhooks or automatic user-status changes, giving your team a representative decision set to inspect.

Before leaving test mode, define how flagged and compliant results affect the product and decide which users should be protected from automated action. Keep prompt and output decisions separate but connected to the same conversation. That shows which side of the interaction caused the result without losing context. As you add models or content formats, reuse the same account and review approach while adding only the policy distinctions the feature needs.