A real situation.
A better next attempt.
Explore what a learner might practice: the question, the AI-supported task, the human conversation and the work they can show. These are original illustrative examples—not real learner testimonials.
22 worked examples
Answer “What can you actually do?”
You have studied, but your CV lists courses rather than evidence. An interviewer asks for an example of your work.
Mock interviews + projectsFollow the example →
Carry your experience into a new role
You work in customer service and want to explore operations or customer-success work. Starting again feels overwhelming.
Role research + work samplesFollow the example →
Ask a clearer question at work
You understand the work, but hesitate to ask a manager to clarify an instruction in English.
English + role-playFollow the example →
Handle a price objection without panicking
A customer says your price is too high. You are tempted to accept a loss just to keep the enquiry.
Sales role-play + offer designFollow the example →
Stop a small project becoming unlimited work
A freelance client keeps adding requests after agreeing the original task.
Client discovery + boundariesFollow the example →
Turn a home skill into a first offer
A mother has a tailoring skill, limited time and no clear way to explain what she offers.
Saheli + pricing + communicationFollow the example →
Practice a professional boundary
A client repeatedly asks to move a work conversation to an uncomfortable personal channel.
Situation handling + help-seekingFollow the example →
Explain the same idea in a different way
A teacher notices that pupils can repeat a rule but cannot explain why it works.
AI-assisted preparation + teacher reviewFollow the example →
Find an answer you can trace to a source
An AI answer sounds convincing, but the source may be missing, outdated or unrelated.
Research + verificationFollow the example →
Find the orders lost between messages
A shop receives enquiries through several chats and cannot reliably tell which orders need action.
Spreadsheets + workflow designFollow the example →
Test the problem before building the app
A founder has an exciting app idea but has not checked whether people face the problem often enough.
Customer discovery + prototype thinkingFollow the example →
Make a new colleague’s first week clearer
A new employee receives many documents but does not know which action comes first.
Document design + workplace communicationFollow the example →
Organise a matter without inventing an authority
A lawyer needs a clearer chronology from a fictional matter and wants to avoid unsupported AI assertions.
Source checking + structured draftingFollow the example →
Clarify the brief before polishing the concept
An architecture client uses broad phrases such as “modern” and “spacious”, but constraints are unclear.
Client discovery + design communicationFollow the example →
Make approved information easier to understand
An administrative team needs a clearer version of an approved information leaflet.
Plain-language writing + source fidelityFollow the example →
Turn a sales sheet into a useful question
A distributor sees changing sales totals but does not know whether the issue is demand, missing records or product availability.
Data checking + business interpretationFollow the example →
Pause before following an urgent message
A message appears to come from a colleague and urgently requests a login code.
Cyber safety + decision scenariosFollow the example →
Help a citizen understand the next step
A citizen receives a technical reply but still does not know what document or action is needed.
Clear writing + approved proceduresFollow the example →
Find out why someone stopped practicing
A participant has not returned after onboarding. The programme team is tempted to label them disengaged.
Facilitation + programme evidenceFollow the example →
Build a learning routine around real life
Travel is difficult and the learner shares a device with family members.
Planning + remote practiceFollow the example →
Help a child explain—not only finish
A child wants AI to provide the finished answer, while the parent wants them to understand the idea.
Guided curiosity + age-appropriate practiceFollow the example →
From repeated problem to a tested prototype
A team repeatedly answers the same service questions and wants an AI assistant.
Research → design → build → testFollow the example →