AI Response LabPractise evaluating AI responses
A sharper eye for AI answers

Build your judgement.
Question the response.

Learn to spot mistakes, weigh evidence and explain what makes an AI answer useful. Short exercises. Clear feedback. Room to think.

Free to use · No account needed · No coding required

A small judgement exerciseWritten example

Does the answer match the evidence?

Source

In a survey, 18 of 30 people said they preferred the new design.

AI response

“The survey shows that 90% of people preferred the new design.”

Look beyond the confident wording. Check the numbers and what the survey actually establishes.

Practise checking evidence

Different models. The same need for careful judgement.

Practise skills you can use with any AI. The lab is independent of the featured AI services.

  • ChatGPT
  • Claude
  • Gemini
  • Grok
  • Llama
  • DeepSeek
  • Qwen
  • Mistral

128practice exercises

3difficulty levels

5 or 10questions in a short session

Choose your focus

Six ways to sharpen your judgement.

Begin with the skill you want to practise. Most exercises are untimed, so you can take a careful look.

A simple practice routine

Read. Judge. Reflect.

You don’t need to use a particular AI model. The prompts and responses are provided for you.

  1. 1

    Read the prompt and response

    Check what was asked, what was said and what evidence is available.

  2. 2

    Make your judgement

    Choose an answer or apply a rubric. Record your confidence and, if you like, your reasoning.

  3. 3

    Learn from the feedback

    Review the answer key, revisit mistakes and see how your first attempts develop over time.

A little practice, with a clear finish

Start with five questions.

Choose a mixed session and your difficulty level. Take your time, then review what you learned.

Choose a short session

About the Project

AI Response Lab is an independent project created by Leigh Shellam to explore and practise structured human evaluation of AI-generated responses.

The Lab is designed around the skills involved in assessing AI output carefully and consistently, with an emphasis on evidence, reasoning, instruction-following, uncertainty and clear justification of evaluation decisions.

What the Lab Develops

  • Applying evaluation criteria consistently
  • Comparing competing AI responses
  • Identifying unsupported claims and reasoning gaps
  • Assessing instruction-following and relevance
  • Recognising bias, ambiguity and uncertainty
  • Explaining evaluation decisions clearly and objectively

Independent Project

AI Response Lab is an independent educational project created by Leigh Shellam. It is not affiliated with, sponsored by, or endorsed by OpenAI, Anthropic, Google or any other AI provider.