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 backtest

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

The problem

Start with the question your team needs to answer — not a dashboard full of ungrounded claims.

01

Short histories produce false confidence

02

A model is judged on the data it learned

03

Missing observations become fake projections

How it works

Cito
  1. 01

    Supply chronological workspace data

    Aurora Pro 14

    Notebooks · 3 stores

    Analysed

    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
  2. 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
  3. 03

    Read forecasts only when gates pass

    SummaryAnswersSources

    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
    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.

Illustrative data · Aurora, TechPrime, Northwind

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.

Illustrative data · Aurora, TechPrime, Northwind

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

Analysed

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

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

Read the methodology

Continue the workflow

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.

All help topics
Cito

Your next decision starts with evidence

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