Predictive intelligence
A forecast should earn your confidence
The workspace engine checks data sufficiency and a chronological backtest before exposing forecasts. An empty history stays empty.
Requires sufficient data and backtestAurora Pro 14
Evidence before a forecast
Forecast unavailable
Sufficient chronological data and a passing backtest are required. No forecast has been generated.
The problem
Start with the question your team needs to answer — not a dashboard full of ungrounded claims.
Short histories produce false confidence
A model is judged on the data it learned
Missing observations become fake projections
How it works

01
Supply chronological workspace data
AnalysedAurora Pro 14
Notebooks · 3 stores
Recommended in
9 / 15
Avg. position
2.3
Store suggested
Mercado Livre
in 6 of 9 answers
Spec accuracy
4 / 5
battery stated wrong
Illustrative data · Aurora, TechPrime, Northwind 02
Inspect sufficiency and evaluation gates
Aurora Pro 14
Evidence before a forecast
Forecast unavailable
Sufficient chronological data and a passing backtest are required. No forecast has been generated.
Illustrative data · Aurora, TechPrime, Northwind 03
Read forecasts only when gates pass
SummaryAnswersSourcesPrompt 2 · repetition 3 · model API · saved answer
“For students who want long battery life, the TechPrime X5 is a strong choice. The Aurora Pro 14 is lighter but…”
- • techprime.example/x5
- • No source provided by this model API
Illustrative data · Aurora, TechPrime, Northwind
01 · Predictive intelligence
Sufficiency comes first
Available history and signal coverage determine whether evaluation can proceed.
Aurora Pro 14
Evidence before a forecast
Forecast unavailable
Sufficient chronological data and a passing backtest are required. No forecast has been generated.
02 · Predictive intelligence
Test in chronological order
The engine separates training and later evaluation periods. It does not promise future results.
Aurora Pro 14
Your imported sales, beside visibility
Observed recommendation
9 / 15
Sales source
CSV · Aurora
Read side by side. Visibility does not establish conversion or causality.
03 · Predictive intelligence
Workspace-only evidence
The engine uses workspace data, without creating provider requests or external sales facts.
Aurora Pro 14
Notebooks · 3 stores
Recommended in
9 / 15
Avg. position
2.3
Store suggested
Mercado Livre
in 6 of 9 answers
Spec accuracy
4 / 5
battery stated wrong
What you measure
Measurements come from saved catalog, audit, answer or manually imported rows. No visibility-to-revenue inference.
- Data sufficiency and backtest availability
- Forecast eligibility, not guaranteed outcomes
Transparent methodology
An observation, not a promise
Configured model APIs. Saved original answers. Incomplete responses excluded. Unknown is never treated as failure.
Prompt
Buyer-style, in Portuguese
Provider
Model + version recorded
Repetition
Same prompt, repeated
1 observation
Saved verbatim, never rewritten
Continue the workflow
Requires a configured provider
Product visibility
Measure recommendations for a specific electronics model, not just a brand name. Keep the valid-answer denominator beside every count.
Aurora Pro 14
Notebooks · 3 stores
Recommended in
9 / 15
Avg. position
2.3
Store suggested
Mercado Livre
in 6 of 9 answers
Spec accuracy
4 / 5
battery stated wrong
Saved answers required
Competitors & stores
Read competing products and store suggestions in the same evidence trail. Keep a product, a brand and a seller distinct.
Recommended instead
- 1TechPrime X511/15
- 2Aurora Pro 149/15
- 3Northwind Air6/15
- 4TechPrime Lite3/15
Where AI says to buy
- Mercado Livre34%
- Amazon27%
- Official store18%
- Magalu13%
- Kabum8%
Read-only saved evidence
Auditable evidence
Open the original saved answer, prompt, model and repetition behind a recommendation. Sources appear only when supplied.
Prompt 2 · repetition 3 · model API · saved answer
“For students who want long battery life, the TechPrime X5 is a strong choice. The Aurora Pro 14 is lighter but…”
- • techprime.example/x5
- • No source provided by this model API
FAQ
Straight answers
Will I get a forecast on signup?
No. Insufficient history keeps it unavailable.
Is this a promise of revenue?
No. Forecasts are conditional model estimates, not guarantees.
Does the engine call ad APIs?
No. It operates on available workspace data.
Does this reproduce the consumer chat app?
No. Diagnostics use configured model APIs and recorded prompts in Brazilian Portuguese. Results can differ from consumer apps.

Your next decision starts with evidence
Confirm your product, review the diagnostic and keep every answer.
Run a free diagnostic