Almost everyone has poked at ChatGPT. Very few are genuinely fluent, and that gap is quietly becoming a career divide. This workbook scores where your AI skills stand today, shows the skills that matter most right now, and builds a 30-day learning path with starter prompts for your role. No sign-up to read it.
Nazir Dogan · Founder, Traq Collective · Builder of agentic AI products and team enablement programmes
Read this first, no input needed. Five habits that move you from poking at AI to genuinely working with it. If you only take one thing from this workbook, take these.
A dabbler types "write me an email." A fluent user gives the role, the audience, the goal and an example, then gets something usable in one pass.
Skill: prompting with context, constraints and examples. It is the single highest-return habit to build.
The first answer is rarely the best one. Dabblers stop there. Fluent users push back, refine, and steer toward what they actually wanted.
Skill: treating AI as a thinking partner you direct, not a vending machine you accept.
Trusting every output blindly is how people get burned and then quietly stop using AI altogether.
Skill: judgement. Knowing what AI is reliable for, what to double-check, and how to design around its weak spots.
Living in one free chat window leaves most of the value on the table.
Skill: knowing which tool fits which job, and stringing them together into a workflow.
Re-typing the same prompt every time is slow. The gain compounds when you save and reuse what works.
Skill: turning your best prompts into saved, repeatable systems so the speed becomes permanent.
The encouraging part: fluency is learnable, and faster than people think. The data is clear on what moves the needle, and that practice pays off in real output and confidence, not just on paper.
Pick the answer closest to how you actually work today. Each one moves your score along the curve from beginner to fluent. Answer all six to reveal where you stand.
Your AI fluency score
These are the five capabilities that turn AI from a toy into an edge. Tick the ones you want to grow first. Your plan below will lead with them.
Roughly how many hours a week do you spend on work AI could speed up (drafting, research, admin, analysis)? We have pre-filled a modest 5. This is time you could reclaim or redirect to higher-value work.
This is time back, not extra hours worked. Fluency is how you turn a chunk of routine work into thinking, learning, or simply finishing earlier.
This is the four-week structure that takes someone from curious to genuinely capable. It is the same shape for everyone. What changes is which skills you lead with and the examples from your own work, and that is what we tailor on a call.
Pick your role and take these with you. Copy a prompt, swap in your details, and you are working with AI in the next two minutes. This is yours to keep whether or not we ever speak.
Not opinion, evidence. Structured practice changes output and confidence, and the gains land hardest for people earlier in the curve.
Built from your answers. Hit Build my snapshot below (or just keep editing). Everything stays fully editable, and you can save the page as a PDF.
Where your skills stand
Answer the six questions above and your snapshot builds itself here.
★ Your first three moves this week. Generated from your answers and ordered by leverage. Edit any of them, set a date, then save as PDF.
Your next step
Book a free 20-minute call about structured AI upskilling. We will look at your score and the skills you flagged, then map a focused learning path, and talk through whether one-to-one or small-group coaching is the fastest way for you to get genuinely fluent.
Run by Nazir Dogan of Traq Collective, who trains people and teams to actually use AI, across Dubai, Abu Dhabi and beyond. Or email hello@traqcollective.com.
Keep your results, or get a follow-up
Hit Save as PDF in the bar below to download everything on this page, it is yours to keep. Want us to follow up with a couple of tailored next steps? Leave your email and we will reach out. No spam, ever.
