LLM ToolsA learning lab

A playground for AI literacy

Understand AI.
Learn by doing.

Small experiments. Better questions. Explore how language tools work, then connect what you learn to real AI systems.

Explore the playground Read the field guides

Free to explore No account No API key

01 / Experiment

The playground

Pick something you’re curious about.
Start with a sample, then make it your own.

Small demos, real learning. These tools use local rules and prepared responses, not a live LLM. Your text is processed in your browser. Treat scores as discussion starters, not assessments.

Prompting

Prompt Playground

Give an instruction more context, compare templates, and inspect a simulated response.

Try: add an audience and a format
Text & writing

Text Analysis

Look at word patterns, estimated readability, and a simple word-based sentiment score.

Try: compare two writing styles
Text & writing

Text Summarizer

Shorten a passage with sentence-selection rules and see what gets left out.

Try: check a summary against its source
Text & writing

Writing Assistant

Find a writing prompt and use basic style checks to reflect on a draft.

Try: revise one paragraph and compare
Practice

Conversation Simulator

Rehearse an interview, a debate, or a teaching moment with scripted characters.

Try: answer an interview question aloud
Practice

Language Learning

Explore prepared exchanges and vocabulary exercises in six languages.

Try: practise a greeting in a new language

02 / Connect the ideas

Beyond the chat box

Field guides to the systems around the model.
Plain language, practical questions, original sources.

01

The landscape

From chat to
working systems

Understand models, tools, and agents—and where human judgment fits.

Explore the landscape 02

Coding agents

What makes a
coding harness?

Meet the software that gives a model context, tools, and a way to check its work.

Understand the harness 03

Agents in practice

OpenClaw &
the solo operator

Explore self-hosted agents, connected channels, and the responsibilities of automation.

Read the OpenClaw guide

A little structure helps

Turn curiosity into
a useful experiment.

A simple approach for independent learning or a classroom discussion.

  1. 1

    Change one thing

    Try a sample. Change its wording, length, or context.

  2. 2

    Look closely at the result

    What improved? What was missed? What can’t this demo tell you?

  3. 3

    Connect it to a real system

    Read a guide, check a source, and decide what you would test next.

03 / Keep exploring

Go to the source

Further reading from educators, researchers,
and the people building these systems.