If you’ve followed this blog for a while, you’ll know I mostly write about enterprise architecture, integration patterns, and the odd war story from the Pega trenches. This post is a bit different — it’s about something I’ve been building on nights and weekends: 11+ Dojo, a free, gamified practice platform for kids preparing for the UK’s 11+ grammar and independent school entrance exams.

I want to talk about how it got built, because the honest answer is: faster than it had any right to be, thanks to AI-assisted development. Then I’ll walk through why it’s actually useful if you’ve got a child in Years 4–6.

The problem I was solving

11+ prep in the UK is dominated by expensive tutoring, PDF worksheet packs, and apps that are either paywalled, ad-riddled, or just… boring. Kids need to build genuine mastery across Maths, English, Verbal Reasoning and Non-Verbal Reasoning — repeatedly, over months — and that only happens if the practice itself doesn’t feel like a chore. It’s a classic “the content is fine, the experience is the problem” situation.

That’s a product problem as much as a technical one, and it’s exactly the kind of side project that a small, AI-augmented team of one can actually finish.

Where AI fast-tracked the build

A few years ago, a solo full-stack build like this — proper account model, adaptive difficulty engine, content pipeline, gamification, mock exam infrastructure — would have been a 6–12 month evenings-and-weekends slog. AI collapsed a big chunk of that timeline, in a few specific ways:

1. Scaffolding and boilerplate, instantly. The parent/child account model, PIN-based child login, session and mastery data models — all of this is well-trodden ground architecturally, and having an AI pair-programmer draft the schema, API routes, and component scaffolding meant I spent my own time on the decisions (data model shape, security boundaries around child accounts) rather than the typing.

2. Content generation with a validation net, not a leap of faith. An 11+ platform lives or dies on question quality. Rather than either hand-writing thousands of questions or blindly trusting AI-generated content, I built a pipeline: questions are drafted against the UK 11+ curriculum, then pass through an automated validator before a human review pass checks style, clarity and exam-board formatting (GL and ISEB style). AI drafts, code checks structure and answer-logic, a human signs off. That three-layer pipeline is the only way I’d trust AI-generated content in front of an 11-year-old.

3. An adaptive engine that reacts to real usage, not guesswork. Question difficulty isn’t fixed at launch — it’s calibrated by curriculum experts initially, then adjusted dynamically from aggregate performance data. If most kids are missing a question, its difficulty scales up automatically; if it’s too easy, it scales down. Designing and tuning that kind of feedback loop is exactly the sort of iterative, code-heavy work that goes much faster with an AI collaborator sanity-checking edge cases as you go.

4. Faster iteration on the “boring” infrastructure. Server-enforced mock exam timers, auto hand-in, section-by-section countdowns, streak-freeze logic so one missed day doesn’t wipe out a fortnight of momentum — none of this is glamorous, but it’s the stuff that makes the product trustworthy. AI-assisted development meant I could iterate on this plumbing in hours rather than days, and spend the time saved on genuinely product-level thinking: what does a kind results screen look like after a mock exam, when the reader is ten years old?

If you’re building your own side project and wondering whether AI-assisted development is worth the ramp-up, my honest take: for well-understood technical patterns (auth, CRUD, dashboards) it’s a genuine multiplier; for anything trust-sensitive (like content served to kids), you still need a human-verified pipeline wrapped around it. Trust the acceleration, verify the output.

Why it’s genuinely useful, not just well-built

Good engineering only matters if it serves the actual goal — a child who sticks with practice long enough to build real skill. A few things 11+ Dojo does deliberately:

• Practice by topic and skill, not just “more questions.” Across Maths, English & Comprehension, Verbal Reasoning, Non-Verbal Reasoning, and Spelling & Grammar, a child can drill exactly the skill that needs work, rather than working through an undifferentiated question bank.
• Instant, explained feedback. Every answer is marked and explained immediately, in child-friendly language — a wrong answer becomes a small lesson rather than a dead end.
• A “you vs your past self” framing. Mastery is tracked against the child’s own history, not a leaderboard against other kids. No public profiles, no comparison anxiety — just growth chips and stars.
• A “practise this next” nudge. Rather than leaving the child to guess what to work on, the app suggests the weakest topic — a small piece of targeted, suggested practice that quietly does a lot of the planning a parent or tutor would otherwise have to do by hand.
• The Spelling Dojo corner. Spelling & Grammar gets the same streaks-and-badges treatment as the “bigger” subjects — turning a traditionally dull, rote-memorisation task into something a child actually wants to open again tomorrow.
• Realistic mock exams, timed and sectioned like the real thing, with a warm, question-by-question results walkthrough rather than a cold percentage.

For parents specifically

The bit I’d flag hardest for any parent reading this: you get an actual parent dashboard, separate from your child’s own My Progress page. Your child sees streaks, XP, levels and encouraging trend chips; you see the analytical view — mastery per skill, mock scores, and exactly where to focus next — without having to sit over their shoulder or dig through a spreadsheet of practice papers yourself. Setup is two minutes: create a free parent account, add a profile per child, and they log in with a simple PIN — no email, no password, no way to wander off the platform. It’s built to the ICO’s Children’s Code by design: no ads, no chat, no public profiles.

Try it

It’s free — no card, no catch, at 11plusdojo.uk. You can try a few real questions with no signup at all, or set up a full parent + child account in a couple of minutes.

If you’re a fellow developer curious about the AI-assisted build process, the content validation pipeline, or the adaptive difficulty engine specifically — drop a comment or reach out, I’m happy to go deeper into any of it in a follow-up post.