Straight answers.
If the answer is not here, write to us. We read everything.
Is this for me?
Do I need to know how to code?
No. The whole first chapter assumes zero code, and the on-ramp into the rest is deliberately gentle. By the time you see your first command line, you have already shipped a working tool. Code shows up when it actively helps you, not before.
Is this just prompt engineering with extra steps?
No. Prompt engineering is a single move. PromptDojo teaches the whole loop: name a problem, shape a tool, test for failure, ship something that survives. Prompts are the brushwork; we teach the whole painting.
I am not technical. Will I feel lost?
That is exactly who we built this for. The lessons assume nothing: not technical jargon, not a CS background, not even comfort with computers beyond using one for work. You will feel deliberately oriented.
I already code. Is this beneath me?
Probably yes for the first chapter; possibly no for the rest. If you can already ship working tools, you are not the target audience. If you have never shipped one but you do code, the workflow chapter and build chapter may still be useful.
What do I actually build?
What are these tools you keep mentioning?
Small, useful tools you can run on your own work. The first one most builders ship reads meeting notes and drafts the follow-up messages. Others include calendar triagers, lead trackers, job-match agents, and notes-to-action automators. They are tiny, opinionated, and shaped to your job.
Do I leave with anything I can keep?
Yes. Every artifact you build is yours: saved to your library, exportable, and usable even if you cancel. The dojo is a place to learn the loop; what comes out is a real thing you can use on Monday.
Will I build a SaaS, startup, or app?
Not as the promise. We focus on personal-scale tools you actually use. If you later want to take a tool and turn it into something bigger, you will have the muscle to do it. We do not pretend to be a startup school.
How the dojo works
How long does each lesson take?
Chapter 00 runs about 65 minutes across 9 short lessons and is free to work through. Later chapters are paced for one sitting at a time, usually 30 to 60 minutes, with natural break points. You can pause anywhere and your place is saved.
Is this a video course?
No. The dojo is text-and-build, not lecture-and-watch. We use cinematic visuals for atmosphere, but the lessons themselves are interactive: you write, you decide, you ship. Reading something is one move; reading and immediately doing it is the move.
Are there quizzes?
One every chapter, but they test understanding, not trivia. Five questions, no traps, no Python esoterica. They exist to make sure the muscle stuck before you move on.
Pricing and cancellation
What does it cost?
The free core is $0 forever. Plus is planned at $5 a month or $49 a year, and opens deeper practice. See the full pricing breakdown.
What is your refund policy?
Refunds follow the billing channel. Web purchase questions go through support; Apple and Google refund rules apply only to native app-store purchases.
Can I cancel anytime?
Yes. Once paid access is live, cancel through the billing channel you used. Your saved tools stay yours; you can export them whenever you want.
Tools and setup
Do I need to install anything?
The free core runs in the browser. Later Plus lessons may ask you to connect local tools or APIs when the project needs them, and the lesson will say that before you start.
Do I need to bring my own AI account?
No. The dojo includes model access. You can plug in your own provider later if you want, but it is optional.
About the AI
Which model do you use?
We use whatever is currently best for the lesson. The dojo is model-agnostic by design. We teach decisions that survive any model swap, not tricks tied to one vendor.
Will AI eventually replace what you are teaching?
It might replace the typing. It will not replace the deciding. The skill we teach is taste, framing, and ownership, which is what is left when the typing stops being valuable.
Will my prompts and tools train any model?
No. Your data is yours. See our trust philosophy for the details.
Did not answer your question?
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