A free learning sprint
30 Days With Zavi
One short lesson, one practical task and one small piece of evidence each day. By the end, you will have a safer AI routine and a plan for what to practise next.
Day 1: What Is Generative AI, Really?
Read lesson →Write down two tasks AI could help with and one task you would never delegate without review.
Make: Your personal AI boundary list.
Day 2: What You Are Looking At When You Open ChatGPT
Read lesson →Open an AI assistant and identify which parts are instructions, context and output.
Make: A short map of the tool you use.
Day 3: How to Ask ChatGPT for Something Useful
Read lesson →Ask for help with one real, low-risk task from this week.
Make: Your first useful request.
Day 4: What Even Is a Prompt?
Read lesson →Rewrite yesterday’s request to name the audience, goal and format.
Make: A clearer brief.
Day 5: Anatomy of a Great Prompt
Read lesson →Add the context a smart colleague would need to do the task without asking you questions.
Make: A reusable prompt structure.
Day 6: Be Specific or Be Sorry
Read lesson →Run the same task twice: once vaguely and once specifically. Compare the results.
Make: A before-and-after example.
Day 7: What You Should Never Paste Into an AI Tool
Read lesson →List the information from your work that must not be pasted into a public AI tool.
Make: A privacy checklist.
Day 8: How to Verify What an AI Tells You
Read lesson →Verify one factual claim from an AI answer against a trustworthy source.
Make: A checked answer with its source.
Day 9: How to Write Work Emails with AI
Read lesson →Draft one difficult email, then edit it until it sounds like you.
Make: A human-reviewed email workflow.
Day 10: How to Turn Meeting Notes into Action Items
Read lesson →Turn a set of notes into decisions, actions and unanswered questions.
Make: A meeting follow-up template.
Day 11: Actions and Decisions That Do Not Get Lost
Read lesson →Compare an AI-generated action list with what the meeting actually decided.
Make: A meeting quality check.
Day 12: How to Research Anything in Half the Time
Read lesson →Ask AI to create a research plan, then check its suggested sources yourself.
Make: A research brief with source checks.
Day 13: How to Write Reports and Summaries with AI
Read lesson →Summarise a document for two different audiences and remove anything unsupported.
Make: Two audience-ready summaries.
Day 14: Why Long AI Conversations Start Going Wrong
Read lesson →Start a fresh conversation with a short written brief instead of continuing a drifting chat.
Make: A clean brief you can reuse.
Day 15: How to Make AI Work Only From Your Own Documents
Read lesson →Give the tool only the documents and facts needed for one task.
Make: A focused context pack.
Day 16: Asking a Question vs Delegating a Job
Read lesson →Choose one task where you want a complete first draft rather than a single answer.
Make: A delegation candidate.
Day 17: How to Write a Brief AI Can Act On
Read lesson →Write the task as a brief with a definition of done and a stop condition.
Make: A delegation brief.
Day 18: What You Should Automate First
Read lesson →Find one repetitive task that is frequent, low-risk and easy to check.
Make: An automation shortlist.
Day 19: How to Build Your First AI Automation
Read lesson →Sketch the trigger, steps, output and human review for that task.
Make: A simple workflow diagram.
Day 20: What to Do When an Automation Breaks Silently
Read lesson →Write down what should happen when the input is missing or the output looks wrong.
Make: A failure-handling rule.
Day 21: How to Handle Customer Messages with AI
Read lesson →Draft three customer replies with an escalation rule for unusual requests.
Make: A small-business reply bank.
Day 22: How to Research Your Audience with AI
Read lesson →Describe one audience in terms of their problem, context and desired result.
Make: An audience brief.
Day 23: How to Turn One Idea Into a Month of Content
Read lesson →Turn one useful idea into a short post, email and FAQ answer.
Make: Three pieces from one idea.
Day 24: How to Tailor Your CV to a Job Posting
Read lesson →Match one real job description to evidence already in your experience.
Make: A targeted CV section.
Day 25: How to Prepare for an Interview with AI
Read lesson →Practise one interview answer and edit it to include a specific example.
Make: A stronger interview story.
Day 26: How to Choose Projects That Prove Real Skill
Read lesson →Choose a small project that solves a real problem instead of collecting another course.
Make: A portfolio project idea.
Day 27: How to Document Work So Someone Can Verify It
Read lesson →Record what you tried, what failed and what you checked.
Make: A credible project note.
Day 28: Which Skills Actually Pair Well With AI
Read lesson →Choose one human skill to strengthen alongside your AI practice.
Make: A durable skills plan.
Day 29: How to Become the Person Who Checks the AI
Read lesson →Create a personal rule for what you always verify before sharing.
Make: A trust-building habit.
Day 30: Your 90-Day AI Career Plan
Read lesson →Write the next three AI tasks or projects you will practise over the next month.
Make: Your next-month action plan.
What to do when the month ends
Choose the evidence you are proudest of and improve it once more. Then pick a deeper route: work productivity, job search, small business or technical building.
Choose your next route →Keep the habit going
Get one practical AI workflow each Friday, plus occasional new path announcements. No noise.
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