In crypto news today, the ArexAI Presale has five days left in Round 1, and the project’s log shows nothing newer than its 13 October updates.
So this report turns to a question buyers rarely ask: can the product be trusted with your numbers? Using only the official log, read today, this report explains the long list of checks that run before the app answers, each in plain words.
When a spreadsheet is uploaded, the dataset review looks for trouble first. It counts empty cells, repeated rows, and fully blank columns.
It flags dates that could be read two ways, such as 03/04 meaning March or April, along with mixed date styles and text hiding inside number columns. It also notices time values that come without units, such as minutes or hours.
A later file overview adds a sheet picker with row and column counts, so you know what was actually imported.
Nothing is corrected automatically, the review covers only the rows that were imported, and no raw values are sent out, since the rows stay in the user’s own browser.
Before it calculates, the app gives the file a status. According to the semantic layer entry, every file is marked ready, reviewed, or blocked, with a score and a list of the reasons.
It warns when percentages are mixed between 0 to 1 and 0 to 100, when an ID repeats and could multiply records and inflate totals, and when units are unknown.
If the data model is not trustworthy enough, confident answers are paused. A compact field map also shows what role the app gave each column, such as measure, target, date or identifier.
| Status | Plain meaning |
| Ready | The structure looks sound |
| Review | A person should check the warnings |
| Blocked | Confident analysis waits |
Many wrong answers come from vague questions. The log says the app now stops to ask.
A request such as “show me the best region” cannot continue until you name a number field and choose higher or lower, as the ranking entry explains.
Earlier releases added questions about which metric and which period you mean, and the app does not assume a spreadsheet is about sales.
It looks at headers to offer tentative hints for call records, accounting, staff lists, inventory, or surveys and treats mixed files as general tables.
While a question stays unclear, the app keeps asking for criteria instead of sending it off for an AI guess.
For anyone following the ArexAI Presale, this shows how much of the product is about caution.
The decision workspace separates what happened from what could happen. A what-if lab lets users test an increase or decrease, while observed values stay visibly apart from imagined results.
It shows the starting value, the projected value, and the difference together, plus the exact cell range, the number of observations, the formula, and a record for rechecking. Testing a scenario never changes the original workbook.
Forecasts are labeled as estimates with ranges. The log also states that a number explaining a change does not prove the cause of that change.
The reviewed scope release added a matching tool for two lists, such as invoices against payments.
It finds missing records, unequal values, blank keys, and ambiguous duplicates. Matching is exact, with no automatic currency conversion or netting off of amounts.
A related release lets users confirm what each record means and what status codes stand for, with a clear rule for blanks. Results can be downloaded as a report that carries the evidence.
Taken together, the ArexAI presale supports a product that tries to show its working.
Still, keep some limits in mind:
These are the team’s own descriptions of a beta product
Matching column names do not prove units or business meaning
Internal tests are not an independent audit, which is still pending
Plans such as alerts and team reviews are not yet available
The ArexAI Presale is easier to understand once you see how many checks sit between a spreadsheet and an answer.
Round 1 closes on 18 October. Read the log yourself, test the app with your own files, and treat every plan as a plan. None of these checks guarantees a correct result, but they show where the team is putting its effort.
This article is for educational and informational purposes only and is not financial or investment advice. Crypto assets are high risk, their prices can be very volatile, and you can lose some or all of your money. Always do your own research and consider speaking with a licensed financial advisor before making investment decisions.