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The AI Builder answers research questions about NBA, NFL, MLB and WNBA player props and team markets. It reads the same scored board every other page on this site reads, so a number it gives you is the number you will find when you click through.
The chat is not a prompt wrapped around a model. Retrieval, scoring and phrasing are ordinary code reading the same tables the board reads, so an answer arrives as a card with its source attached rather than as a paragraph that might be inventing one.
“What are the best MLB player props tonight?”
A ranked list card — hit rate, the games behind it, the live price and the grade on every row.
“Which WNBA players have been the most consistent on points this season?”
A table of players with their consistency score and the sample it was measured over.
“What does the EV percentage on a prop card actually mean?”
A plain-English answer with no data fetch behind it — the definition, and what it does not claim.
“Build me a 3-leg parlay at medium risk”
A ticket card with combined odds, each leg’s measured hit rate, and the negative number shown when the price is against you. Needs a free account.
“Is a heavy favourite worth putting in a parlay?”
The measured history, the price it implies, and where the two disagree — including when the answer is no.
“Show me my saved slips and how they settled”
Your saved slips, graded against the final official box score. Losses stay on the record with the wins. Needs a free account.
Ask “how often does Tarik Skubal go over 6.5 strikeouts?” and the answer is a card: the rate, the count it came from — 7 of his last 10 starts, say — the window those games cover, and the price on offer beside it. Not a paragraph asserting a figure. You can click through to the same board rows the number was read from.
That is the difference from a general chatbot, which produces the figures along with the sentence, so a hit rate one quotes may be a plausible-looking invention. Here the figures are read from the same tables the board reads; a model is used only to work out which question you asked and to read a bet-slip screenshot you upload.
It is not immune to being wrong, and we would rather say so. Reading a number from a database rather than generating one rules out invention, not error: the wrong rows can be matched to a player, a window can be off, and the sentence around a correct figure can still misread the question. What the card gives you is the means to check — the sample size and the source are printed precisely so a number that looks surprising can be audited rather than trusted. If a sentence and a figure disagree, the figure is the one that came from the data.
Weather, Statcast, pitch mix, park factors, injury status and a correlation figure are all outside the data we ingest, and the chat says so plainly instead of guessing. It also declines leagues it cannot score — there is no model behind NHL, so offering it would advertise something the product does not run. Nothing it returns is advice, a prediction or a guarantee; it describes what has already happened at a price you are being offered.
Browsing the board and reading hit rates needs no account. Asking the AI needs a free one, and runs against a daily allowance of AI actions shared with parlay builds and screenshot slip reads. Paid plans raise that allowance; they do not unlock a different or better assistant.
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates, edges and grades are Parlay Builder’s own calculations.