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The Argument

Why learn DAX
when AI can write it?

A fair question. Copilot writes DAX now. So does ChatGPT. So does Gemini. Why sit down and learn filter context in 2026? Here’s the honest answer — in four parts.

01

Writing DAX was never the skill.

The measure Copilot produces in seconds? Someone still has to look at the number it returns and decide whether to ship it to the board deck. That someone is you. That’s the job. That was always the job.

DAX fluency was never about typing faster than the next analyst. It was about being the one the organization trusts to sign off on the number. Writing the measure is the visible part. Deciding the measure is right — that’s the part nobody watches, and the part that actually gets you paid.

02

DAX fails silently. AI makes that scary.

Most languages fail loudly. SQL throws errors. Python raises exceptions. TypeScript refuses to compile. DAX doesn’t. A wrong measure returns a number — not an error — and that number flows into dashboards, board decks, and the decisions your business runs on.

Copilot doesn’t know the difference between right and almost-right DAX. It will happily write either. It won’t flag the context transition that quietly changed what you’re measuring. It won’t warn you about the inactive relationship it forgot. It will just write something that runs. You have to know which one you got.

03

AI amplifies fluency. It doesn’t create it.

AI is leverage. A lever times a force produces movement. A lever times zero produces nothing. A fluent analyst with Copilot ships 10x the work. A non-fluent analyst with Copilot ships 10x of whatever the model confabulated — with more confidence and less ability to catch it.

Prompts are cheap. Judgment is the lever. The analysts getting ahead in this era aren’t out-prompting each other. They’re out-reading each other — catching the hallucination, questioning the filter context, rejecting the measure that looks right but isn’t.

04

We’re not anti-AI. We’re pro-judgment.

DAX Solver uses AI. Daxie — our tutor — is a large language model. But Daxie is built to do the opposite of most AI tools: instead of handing you the measure, it walks you through the reasoning so you can write it yourself. Instead of removing the skill, it compresses the learning curve.

The right use of AI in a skilled profession isn’t to replace the skill. It’s to build the skill faster while preserving the judgment. That’s the bet we’re making — and the product we’re building.

What we built

A place to train the eye.

Real semantic models, not toy star schemas. Test cases that check correctness, not just whether your measure ran without errors. An AI tutor that walks you through the reasoning instead of dumping the answer. A code editor that treats DAX like a language, not a formula bar.

DAX Solver is the rig we wanted when we were getting burned by filter context. From first-timers working through CALCULATE to senior BI developers sharpening time intelligence, we’re building the place where the eye gets trained. Free forever for individuals. You’re welcome to join us.

What we believe

Three commitments.

01

Reps over theory.

Nothing compresses decades of pattern-matching like doing the thing, in public, against problems that don’t care if you think you’re clever.

02

Real data, real joins.

Toy data teaches toy skills. Our models carry the warts you’ll meet in production — SCDs, role-playing dimensions, messy grain.

03

Hints, not handouts.

Daxie AI asks you the question you should have asked. You walk away with the skill, not just the answer.

By the numbers

Small team. Serious compounding.

500+
Challenges
14
Semantic models
All
DAX functions

Come train
the eye.

Free forever for individuals. No credit card. Start building the skill Copilot can’t fake.