Legion AI · Education layer

    The layer that makes the rest make sense.

    Legion AI is not a separate product you open. It runs underneath Legion HQ, joining what Scout sees in the market, what Guardian says about risk, and what your own journal records about how you actually behaved — and turns that into something you can learn from.

    WHAT IT DOES

    Four jobs, one thread

    Explains, rather than instructs

    Legion AI's job is to make the reasoning legible: why a level matters, why an event moves gold, why a position size came out the way it did. If you cannot follow the argument, the answer is not finished.

    Connects analysis to risk

    Market context on its own is half an answer. Legion AI ties Scout's reading of the market to Guardian's view of what a plan would actually cost, so the two are never considered separately.

    Turns review into learning

    A journal full of entries is only useful if patterns come out of it. Legion AI helps surface what keeps repeating — the mistakes, the emotional states, the setups that keep going wrong.

    Powers the automation side too

    The same AI-assisted workflow thinking runs through the Legion Algo Labs service work: intake triage, reporting, and the operational systems businesses actually run on.

    HONEST LIMITS

    What Legion AI will not do

    Being clear about this is part of the product, not a disclaimer bolted on the end.

    • It can be wrong, and it can be confidently wrong. Treat its output as a starting point to check, not a conclusion.
    • It does not know your financial position, objectives or risk tolerance, and it does not give personalised financial advice.
    • It does not predict prices. No model in Legion HQ is presented as knowing what the market will do next.
    • It does not place trades, and nothing in Legion HQ executes on your behalf.

    The same thinking, applied to business

    Legion Algo Labs builds AI-assisted workflows for New Zealand businesses as well as for traders — intake and triage, reporting and dashboards, and the operational systems that quietly eat a team's week. It is the same discipline: work out what the process actually is, then let automation carry the repetitive part.