AI Skills & Literacy

17 templates · Updated 2026-08-11

Working AI literacy for professionals and teams — using ChatGPT on a real task from your week, rewriting prompts against scored criteria, picking a model on blind-scored evidence, defending an AI strategy built on your own numbers. Split between individual practitioners and team rollouts, each one ends with judgement you can show, not vocabulary.

• Adaeze — Build an AI Clone of Yourself

  An AI clone of yourself, built 1:1 with a tutor that red-teams the persona instead of shipping a chatbot. Five parts from Voice Capture to Launch, ending when eight of ten answers to your followers' questions are indistinguishable from yours.

• Chloe — Your AI Strategy for Business, Defended

  An AI strategy for business you can defend, built 1:1 with a tutor that interrogates every number. Six weeks on your own cost and volume numbers, ending in a one-page case with a costed pilot, one success metric and an honest downside.

• Cillian — AI Assisted Coding Best Practices, Diff by Diff

  AI assisted coding best practices, drilled 1:1 because you ship with Cursor daily and have started merging diffs you cannot defend. Five weeks of timed defect hunts, from spec before prompt to owning the rollback, until you can reject a 200-line AI diff line by line.

• Clarissa — How to Use ChatGPT on Real Work

  How to use ChatGPT on one real task from your week, with a 1:1 tutor that reads the exact wording you typed. Four sessions in plain language with no clever tricks, finishing when you get one answer you would genuinely have used and repeat it unaided.

• Claudio — ChatGPT vs Claude vs Gemini: Pick Yours

  ChatGPT vs Claude vs Gemini settled on your own three prompts, blind-scored against criteria you write before you see any output. Four sessions with an evaluation tutor that trusts no leaderboard, ending in a one-page rule saying which model gets which job.

• Clement — How to Write Better ChatGPT Prompts, Five Rewrites

  How to write better ChatGPT prompts, taught 1:1 by a tutor that scores audience, role, constraint and example on every draft. A two-week drill on three real prompts a week, rewritten up to five times, until you can name the missing ingredient before typing.

• Cleopatra — Prompt Engineering: One Prompt You Reuse Weekly

  Prompt engineering as maintenance rather than tricks, built 1:1 around the one saved prompt behind your weekly deliverable. Five sessions building a five-case regression set from your real past inputs, ending when a colleague runs the prompt cold and asks you nothing.

• Colm — Build a Custom GPT People Actually Use

  How to build a custom GPT that survives real colleagues, with a tutor that attacks your build using vague and hostile inputs. Five sessions covering instructions, knowledge files and refusal behaviour, finishing when ten real colleague requests run without you stepping in.

• Conrad — Catch an AI Hallucination Before You Send It

  AI hallucination checking rebuilt as a reflex, 1:1, because you already sent a client a figure that turned out wrong. Four timed sessions on planted case names, transposed figures and misattributed quotes, ending when you catch four in a row inside two minutes each.

• Constance — AI for Seniors, One Task at a Time

  AI for seniors, taught 1:1 by a patient AI tutor that repeats any step a fourth time without sighing. Six short sessions on real jobs, the letter to the council or the message that smells like a scam, ending when you finish one unprompted.

• Cora — ChatGPT Atlas Without Losing the Wheel

  ChatGPT Atlas and Claude for Chrome, supervised 1:1 by a tutor allergic to demos. Four sessions on delegation limits, injected instructions and fake buttons, ending when you have caught the agent going wrong twice and written your own stop rules.

• Lilja — AI for HR Without the Legal Risk

  AI for HR taught 1:1 by a tutor that marks your team's own adverts and review summaries, not a generic prompt library. Five sessions from coded job adverts to disclosure and record-keeping, ending when three real documents clear legal review unchanged.

• Linus — ChatGPT Prompts for Recruiters: Brief to Shortlist

  ChatGPT prompts for recruiters, rebuilt as 1:1 practice against a tutor playing the hiring manager who briefs in two lines. Four weeks from Boolean strings to screening notes a bias audit can read, ending with one requisition run end to end unaided.

• Mirza — AI Literacy Training You Can Evidence

  AI literacy training your compliance lead can evidence, differentiated by role from recruiters to warehouse planners. Five sessions on EU AI Act Article 4, each closing on a grey-area call staff must commit to, logged until three consecutive judgements match the approved position.

• Mitra — Prompt Engineering for Business: The Month-End Close

  Prompt engineering for business teams that already have an approved assistant switched on and still type one-line prompts. Six sessions run on your own month-end files, finished when staff catch three fabricated figures unprompted and log why each output was rejected.

• Moana — AI for Customer Support: Accept or Rewrite

  AI for customer support, taught 1:1 by a tutor that plays the customer your bot already annoyed. Five sessions on live tickets, done when agents judge a suggestion in under fifteen seconds and reject three off-policy drafts with a reason.

• Orla — Tell If a Source Is Reliable

  How to tell if a source is reliable, taught 1:1 to grade 7-12 students, with every transcript open to teacher and family. Five sessions on lateral reading and works cited, run on live claims from their own assignment, ending when a student catches a fabricated citation unprompted.