We teach how AI reads, thinks, and writes.We teach your child to think critically about it.
Sixteen weeks, 1-on-1, with a Navigator. Your child finishes with measurable AI literacy1 and credit-bearing fluency in Python2.
- 1 AI literacy — five domains of machine intelligence, taught by building each one. Read the curriculum.
- 2 Python progression — four tracks, with college credit on the advanced track. Read the curriculum.
Every session live, Navigator-led, 1-on-1 · 16 weeks
A model output reads “The Great Wall of China is visible from the Moon.” A vermilion pen strikes the false phrase; margin note: fact — NASA, 2004, not visible to the naked eye. Stamp: overridden.
Numbers, not adjectives. Coming after the first cohort.
Every DODO Coding student is measured on the same two things: a literacy rubric — five domains of machine intelligence, five levels each — and a Python progression report. Baseline at entry, exit at week 16, published per cohort once the first cohort graduates.
| Domain | baseline → exit |
|---|---|
| 01Perception | — → — |
| 02Reasoning | — → — |
| 03Learning | — → — |
| 04Natural Interaction | — → — |
| 05Societal Impact | — → — |
| +Python progression | — % → — % |
Published the week the first cohort graduates.
- 1 Literacy rubric. Five domains of machine intelligence, five levels each. Detailed in the curriculum.
- 2 Python progression. Four tracks — Foundations, Programming, Systems, Advanced. The Advanced track is credit-bearing.
The difference between a coding class and a Navigator is a map.
Your child can find a coding class anywhere. That is not the same as knowing where they are. Most children using AI today carry a literacy gap their school never measures — the distance between what they can prompt and what they can actually build, debug, and defend.
Navigators are not coding instructors. They are computer-science and AI-engineering specialists, credentialed to run a credit-bearing Python curriculum and a measurable AI literacy framework. They close the gap between where your child uses AI now and where their working life will demand they understand it.
Every Navigator tracks one thing per student: the distance between their current standing on the literacy rubric and their goal — and closes it, week by week.
We teach how AI reads, thinks, and writes.
Three things AI does. Your child learns each by building it — not by prompting it. One human discipline runs underneath.
How AI perceives. Pixels, text, audio, sensor data become signals it can act on.
How AI processes. Search, logic, planning, learning — implemented in Python, line by line, from the parts.
How AI generates. From rule-based output to foundation-model language — built, prompted, and verified by hand.
And the human discipline that anchors it all
Critical thinking.
Throughout every session, your child learns to question what AI says, verify it, and decide when not to trust it.
Measurable AI literacy in sixteen weeks. Every claim is a number we can prove.
Phase 01
We find out exactly where your child is.
Before the first session, every student takes a baseline on the literacy rubric and a placement on the Python progression. We plan from data, not from guesswork.
Phase 02
Three machine abilities. One human discipline. Every session.
Your child learns how AI reads, thinks, and writes — by building each ability from the parts. Throughout, the Navigator coaches the critical thinking that decides when not to trust the output. Nothing is guessed. Everything is guided and measured.
Phase 03
We show you the numbers.
Every student exits with a literacy rubric and a Python progression report. A child who can build what reads, what thinks, and what writes — and who has learned to think critically about it — is not replaced by AI. They direct it.
Curious about DODO Coding?
Talk to a Navigator
30 minutes, live, with a Navigator credentialed in the same standards top schools use. No pressure.
Live · 1-on-1 · 16 weeks · measurable AI literacy · credit-bearing Python