Think Smarter AIHuman Thinking × AI

One hub, several practical starting points

Choose Your AI Learning Path

Start with the situation you are in now. Follow a track in order if you want more structure, or open one focused activity when you already know what you need to practise.

Choose by Situation Follow a Learning Track

Free learning routesNo account required hereHuman judgement stays responsible

Choose by situation

What Are You Trying to Do Today?

Pick the closest match. These routes are practical starting points, not tests of intelligence, ability or readiness. For higher-stakes decisions, use qualified help and current, appropriate sources as well as careful AI use.

  • First Use

    I Have Not Used AI Before

    Learn the basic language, choose a low-stakes first task, keep private information out and understand why a confident answer still needs checking.

    Open New to AI
  • Judgement

    I Want to Test My Everyday Choices

    Work through prepared scenarios about privacy, verification, uncertainty and responsibility, then review the reasoning behind each choice.

    Try the Thinking Check
  • Guided Practice

    I Have a Real Question to Work Through

    Use a five-step exercise to write your own view, ask AI to challenge your thinking, inspect the response, verify what matters and make your decision.

    Use Start Here
  • Question Building

    I Use AI, but the Answers Are Too Generic

    Practise giving AI a clearer goal, useful context, practical constraints, a privacy boundary, an evidence check and a helpful next turn.

    Open the Question Workshop
  • Answer Checking

    I Need to Check a Specific Claim

    Practise separating a claim from its supporting evidence, choosing a suitable source and recording what remains uncertain before relying on it.

    Open the Claim Check Lab
  • Method

    I Want Clear Human and AI Roles

    See where human direction, AI assistance, verification and approval belong in a responsible working process.

    See How We Work
  • Project Work

    I Am Coordinating a Larger AI Project

    Use a human-led control loop for scope, ownership, permissions, evidence, cost, handoffs and release decisions.

    Manage an AI-Assisted Project
  • Available

    I Want to Practise With a Young Learner

    Young learners can try three fictional question missions and the action-based Signal Launch activity. Adults can join in, especially with younger learners, and help discuss the reasoning.

    Open the Young Thinkers Lab

Track 01 · First Use

Begin With Clear Boundaries, Then Practise

Follow these steps in order if conversational AI is new to you. Use a topic where an incomplete or wrong answer would not affect health, safety, money, legal rights or another person.

  1. Learn the boundaries for your first use

    Understand what AI can help with, what it cannot take responsibility for, what information to keep out and why checking matters.

  2. Work through one real, low-stakes question

    Write what you think before asking for help. Compare the response with your view instead of copying it as an answer.

  3. Use the Beginner Thinking Check

    Practise recognising stronger choices across ten prepared scenarios, then review the explanations and any habits you want to revisit.

Track 02 · Everyday Judgement

Question, Check and Decide

Use this track when AI is already part of everyday study, planning, drafting or problem-solving and you want a more deliberate checking habit.

  1. Choose the closest Thinking Check pathway

    Use the Everyday or Advanced scenarios to notice where fluent wording, convenience or time pressure can weaken judgement.

  2. Build a clearer question in the Question Workshop

    Practise defining the outcome, including useful context, protecting private details and planning how you will check the answer.

  3. Practise the Claim Check Lab

    Identify the precise claim, match it to evidence that could support or challenge it, and keep uncertainty visible when the available source does not settle the question.

  4. Apply the full loop to your own question

    Use what you noticed in practice on a real, bounded decision. You remain responsible for what you accept and what you do next.

Track 03 · Project Work

Make Control and Evidence Visible

Use this track when AI-supported work spans several tasks, people, conversations or release decisions. More automation does not remove the need for clear ownership.

  1. Separate human direction from AI assistance

    Define who sets the goal, which tasks AI may support, what needs verification and who can approve an external or difficult-to-reverse action.

  2. Use the project control loop

    Set the outcome, scope, authority, source of truth, owners, evidence checks and release gate before adding more workers or automation.

  3. Inspect the public build evidence

    Compare stated milestones with the bounded evidence and limitations recorded for each public website release.

  4. Read the exploratory case study carefully

    Treat one participant's documented process as a record of evidence still being gathered, not proof of general learning, impact or transferability.

Young Thinkers guidance

Choose an Age-Appropriate Starting Point

Multiple adults reviewed the current Young Thinkers activities and Jacob cleared them for learner use. The lab still makes no claim about a defined age range, curriculum alignment or learning outcomes.

Adults Can Join the Conversation

Choose a low-stakes activity that suits the learner. The lab uses fictional scenarios and asks for no identifying details. If another AI service is used later, check that provider's current age and privacy rules first.

The lab deliberately has no score, leaderboard, timer or drag requirement. Learners can pause, explain their choice and compare it with the prepared feedback. An adult can help read or discuss anything that is unclear.

Try the Young Thinkers Lab Read the Beginner Guide Together

Evidence boundary

Practice Is Useful, but It Is Not Proof

These pages offer prompts, prepared scenarios, explanations and project frameworks. Completing them does not establish learning, safety, competence, impact or a correct real-world decision.

What the Paths Can Provide

  • A structured place to begin or continue practising.
  • Prepared examples of privacy, verification and responsibility choices.
  • A repeatable way to make questions, evidence and decisions visible.

What Still Needs Human Judgement

  • Whether a source is suitable, current and strong enough for the claim.
  • Whether the consequence calls for qualified or specialist help.
  • Whether the evidence supports accepting, changing or stopping the work.

Milestones

Build & Evidence

Review public release milestones, status labels, known limits and preserved website history.

Open the build log

Method

How AI Helped Build This Website

See the public explanation of the build process, including where AI assisted and where human direction and review remained necessary.

Review the build method

Exploratory Record

Case Study 001

Read a bounded single-participant record with its evidence limits kept explicit.

Read Case Study 001

A useful next step

Choose One Route, Not Everything at Once

Complete one small activity, note what you checked and stop when the next decision is clear. Repetition with attention is more useful than collecting pages without applying the habit.

Begin with First Use Build a Better Question