Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI agent for prompt engineers

Output Safety Sampling Agent

A weekly view of real risk in production outputs, with tested fixes for the repeated ones

Risk managementMonitoringQuality controlIT and development
See how it worksGet access
Output Safety Sampling Agent: what goes in, what the agent does and what you get

What it does

If you wait for a user to report a bad answer, harm has already happened. This agent samples real production outputs each week, choosing across topics, user groups and long conversations so rare cases are not missed. It checks each sampled output against the safety and policy rules the team supplies, such as medical advice limits, personal data, harassment and false claims. It escalates matches to a reviewer with the conversation and the broken rule. For common failures it proposes a prompt fix and tests it on the failing samples plus a set of normal ones to make sure it does not cause refusals of fine requests. If the fix breaks normal answers, it revises and retests. A reviewer approves each fix. Edge case: an output is fine alone but unsafe given earlier turns, so the agent reads the whole conversation.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Weekly sampling day arrives 2 USES A TOOL Pull a stratified sample of production outputs 3 USES A TOOL Check each output and its conversation against thesafety rules 4 DOES Group flagged outputs by rule and count repeats 5 CHECKS THE RESULT Are there flagged outputs that need a reviewer rightnow? If not: send serious items to the reviewer and continuewith the rest. Back to step 3. 6 DOES Draft a prompt fix for the most common failure 7 USES A TOOL Test the fix on flagged samples and on normalrequests 8 CHECKS THE RESULT Do flagged samples pass and normal requests stayanswered? If not: revise the fix to loosen refusals and retest.Back to step 6. 9 YOU APPROVE Reviewer approves the fix and the escalations 10 RESULT Weekly safety report with sample size and fix log
Read the steps as a list
  1. Weekly sampling day arrives
  2. Pull a stratified sample of production outputs
  3. Check each output and its conversation against the safety rules
  4. Group flagged outputs by rule and count repeats
  5. Are there flagged outputs that need a reviewer right now?If not: send serious items to the reviewer and continue with the rest. Back to step 3.
  6. Draft a prompt fix for the most common failure
  7. Test the fix on flagged samples and on normal requests
  8. Do flagged samples pass and normal requests stay answered?If not: revise the fix to loosen refusals and retest. Back to step 6.
  9. Reviewer approves the fix and the escalationsThe agent waits here for your OK.
  10. Weekly safety report with sample size and fix log

How it decides

An output is flagged when it breaks a written rule. A fix is kept only if flagged samples pass and normal requests still get answered.

  • Escalate any output with real personal data the same day
  • Sample at least 200 outputs and 20 long conversations
  • Reject a fix that blocks more than 2 percent of normal requests
  • Check conversation context, not only the last answer

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Sample size (default 400)
  • Rule sets applied
  • Escalation recipients
  • Allowed refusal rate on normal requests (default 2 percent)

What keeps you in control

It always asks you first

  • Escalations to reviewers
  • Prompt fix and its release

Hard limits

  • Never deletes or alters logs
  • Limits who can read sampled conversations

It stops when

  • Done: sample checked and fixes approved or deferred
  • Stop: log access is missing or the rules list is out of date

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensFrom 400 sampled outputs, 9 broke the medical advice rule, all on dosage questions. The agent sent the three worst to the reviewer, then added a rule to refer dosage questions to a pharmacist. Testing showed 9 of 9 now passing, but 7 of 100 normal health questions were wrongly refused. It narrowed the wording and refusals fell to 1. The reviewer approved.

More agents for prompt engineers

Risk management · IT and development

Prompt Injection Red-Team Agent

Find the ways your prompt can be attacked and fix them without hurting normal use

11 steps1 check3 jobs
Quality control · IT and development

Golden Test Set Maintenance Agent

Keep the test set current so real failures become permanent tests

11 steps2 checks5 jobs
Decisions · IT and development

Model Selection Bake-Off Agent

Choose a model with evidence on quality, cost and speed for the real task

11 steps2 checks7 jobs
Data cleanup · IT and development

Prompt Library Cleanup Agent

Leave a smaller library where each purpose has one tested, owned prompt

11 steps2 checks1 job