The Data & Analytics category in AIUNIFY PROS SUITE currently contains four active subscriber-facing tools:
The current Sidebar routes these tools to:
/data-visualizer/csv-analyzer/survey-builder/kpi-dashboardAll four are currently marked New in the Sidebar.
The complete page titles are:
The Sidebar shortens the final Tool to:
The current source verifies that all four Data & Analytics Tools use AIUNIFY's shared:
Standard AI Generator Workspace
There is no specialized spreadsheet grid, BI dashboard, SQL engine, statistical notebook, Survey-hosting application, or live Chart designer inside these four pages.
The Data & Analytics category currently follows:
Describe or Paste Data
→ Generate AI Analysis or Recommendations
→ Review the Output
→ Copy or Download
→ Validate Important Calculations or Assumptions
→ Implement the Results in the Appropriate Data, Survey, Charting, or Business Intelligence System
A critical distinction throughout Chapter 43 is:
The current Data & Analytics Tools generate analysis, recommendations, definitions, configurations, and survey content using an AI Model. They do not automatically execute a full statistical, database, spreadsheet, BI, or Survey workflow.
Data Visualizer can generate:
but its current Standard ToolPage does not render an actual interactive Chart from the submitted data.
Despite its name, the current CSV Analyzer uses a Textarea.
Subscribers paste CSV-formatted data into the Prompt.
There is no dedicated CSV file-upload control in the current page.
Survey Builder creates written Survey questionnaires and suggested logic.
It does not currently:
KPI Dashboard Generator produces:
as generated text.
It does not create a live, connected BI Dashboard from business data.
The current Sidebar contains exactly these four Data & Analytics entries:
Tool ID:
data-visualizer
Route:
/data-visualizer
Tool ID:
csv-analyzer
Route:
/csv-analyzer
Tool ID:
survey-builder
Route:
/survey-builder
Tool ID:
kpi-dashboard
Route:
/kpi-dashboard
Each Data & Analytics Sidebar entry currently contains the New indicator.
None of the four active Data & Analytics Sidebar entries is currently marked:
Pro
General subscription, Tool assignment, Token, and platform-configuration rules can still affect availability.
All four Tools use Standard ToolPage.
The shared component requires an authenticated AIUNIFY PROS SUITE session and redirects unauthenticated users toward:
/login.
Each Data & Analytics Tool displays:
The left-side workspace Card is:
Input
Current shared wording:
Describe what you want to generate.
Each Tool uses one natural-language Textarea.
There are no separate structured controls for:
Each Tool changes the Textarea placeholder to reflect its intended function.
Select:
Generate
to start the AI request.
During generation, the button changes to:
Generating....
The Generate button is disabled when the Textarea contains no meaningful text.
While the Input Textarea is active:
Ctrl + Enter
starts generation.
If submission occurs without useful Input, the current message is:
Input required
with:
Please enter a prompt to continue.
Each of the four Data & Analytics Tools currently includes three built-in Prompt examples.
The examples appear under:
Try these examples:.
Selecting one copies the example into the Input field.
The subscriber must still select:
Generate
or press Ctrl + Enter.
Standard ToolPage sends a System instruction in the form:
“You are a helpful AI assistant for the tool: [Tool Title]. [Tool Description]”.
The contents of the Textarea become the User Prompt for the selected AI Model.
The current Tool's ID is supplied through the shared generation function.
data-visualizer
csv-analyzer
survey-builder
kpi-dashboard
Standard ToolPage reads the subscriber's selected AI Model through authenticated context.
The shared AI-generation pathway can also use subscriber-configured provider API Keys as documented in Chapters 10 and 11.
Changing Models can affect:
Important outputs should be verified rather than assumed to be identical across Models.
The right-side Card is:
Output
with:
Generated content will appear here.
Generated content appears progressively.
The Output region has a maximum visible height and becomes scrollable for longer generations.
AIUNIFY uses its Markdown renderer for Standard ToolPage Output.
This can display generated:
depending on the response.
When generated content exists, a Copy control appears.
Copy places the current Output onto the browser Clipboard.
Successful Copy displays:
Copied!
with:
Content copied to clipboard.
A Download control also becomes available.
Standard ToolPage creates a:
plain-text .txt file.
Current pattern:
[tool-id]-output.txt
data-visualizer-output.txt
csv-analyzer-output.txt
survey-builder-output.txt
kpi-dashboard-output.txt
Despite the CSV-focused Input, the Output is not exported as a new .csv file.
The current Data & Analytics ToolPage does not create Microsoft Excel workbooks.
Data Visualizer does not directly download:
Survey Builder does not export a hosted Survey package or Survey-platform project.
KPI Dashboard does not create a Power BI, Tableau, Looker, or other BI project file.
The shared Reset control clears:
and returns focus to the Textarea.
None of the four pages has a persistent:
Save
button.
There is no source-verified history list for previous Data & Analytics generations.
The current workspace does not provide:
Copy or Download important analysis before Resetting or replacing it.
Standard ToolPage determines its Base Cost in this order:
aiLimits valueThe workspace displays:
[cost] tokens per use.
The same Header displays:
Your balance: [amount] tokens.
When the selected Model is identified as an OpenAI Model, Standard ToolPage currently calculates:
Base Cost × 1.5
rounded upward for the displayed usage reference.
If the live page displays a different cost from this manual, use the live interface.
| ToolRoute ReferenceFeature CatalogueCurrent Standard Default | |||
| Data Visualizer | 20 | 20 | 20 |
| CSV Analyzer | 20 | 20 | 20 |
| Survey Builder | 15 | 20 | 20 unless live override |
| KPI Dashboard | 20 | 20 | 20 |
The route definitions show Data Visualizer, CSV Analyzer, and KPI Dashboard at 20 Tokens, while Survey Builder supplies a 15-Token route fallback.
The synchronized feature catalogue lists all four at 20 Tokens.
Survey Builder's page definition supplies:
15 Tokens
but its feature-catalogue entry supplies:
20 Tokens.
Because Standard ToolPage prioritizes:
Live AI Limit → Feature Catalogue → Route Fallback
the current default Base Cost for Survey Builder is:
20 Tokens
unless live settings override it.
Navigate to:
Sidebar → Data & Analytics → Data Visualizer
Route:
/data-visualizer
Data Visualizer.
Current description:
Generate chart configurations and visualization recommendations from your data descriptions.
Current guidance:
Describe your data and the kind of visualization you need. Include data points, categories, and the story you want to tell...
Current Base Reference:
20 Tokens
subject to live Tool settings.
Built-in example:
I have monthly revenue data for 2024 across 4 product lines, suggest the best chart type and generate Chart.js config.
Built-in example:
Visualize user signup trends: Jan-100, Feb-150, Mar-220, Apr-310, May-480 with growth annotations.
Built-in example:
Create a dashboard layout for e-commerce metrics: conversion rate, AOV, bounce rate, and traffic sources.
Describe what the Dataset represents.
Identify categories such as:
Supply relevant numeric values when you expect specific Chart recommendations.
For trends, provide dates, months, quarters, or years.
Explain what you want the visualization to communicate.
A Board Dashboard and an operational Dashboard may require different visualization styles.
The built-in example explicitly supports requesting:
Chart.js config.
You can identify a desired technology when relevant.
Examples of useful requests include:
Useful for comparing categories.
Useful for trends over time.
Can represent simple proportional composition when categories are limited.
Useful for exploring relationships between two numeric measures.
Can communicate cumulative trends where appropriate.
Sometimes a Table is clearer than a Chart when exact values matter.
A Dashboard can use summary Metric Cards for key headline values.
The current Tool can recommend visualization approaches as AI-generated Output.
It does not enforce a particular Chart.
The built-in example directly confirms Chart.js configuration generation as an intended use.
If AI returns JavaScript or JSON-like Chart configuration, that output appears in Standard ToolPage's Markdown Output.
The generated Chart configuration is not executed by Data Visualizer.
The current page does not render the generated Chart configuration inside a live Canvas.
There are no controls for:
inside the Data Visualizer workspace.
The Dashboard example generates layout recommendations as text.
The page is not a drag-and-drop BI Canvas.
There is no:
control.
The Tool does not connect directly to:
It does not connect to:
There is no direct integration in this page with:
The Tool generates text/configuration rather than an actual Chart image.
There is no source-verified PNG, SVG, or PDF Chart export.
A generated visualization configuration does not automatically refresh when source data changes.
The Tool does not publish a live Dashboard URL.
There is no WebSocket or real-time Metric feed to the generated Dashboard recommendation.
Tell AI what decision or pattern the visualization needs to communicate.
Examples:
Avoid providing ambiguous values with no period context.
Examples:
A useful request can ask:
“Recommend three visualization options and explain the tradeoffs.”
If the Tool generates Chart.js or another technical configuration, test it in the intended development environment before production use.
Navigate to:
Sidebar → Data & Analytics → CSV Analyzer
Route:
/csv-analyzer
CSV Analyzer.
Current description:
Paste your CSV data to get instant statistical summaries, trend analysis, and actionable insights.
Current guidance:
Paste your CSV data here (include headers). The AI will analyze patterns, outliers, and key insights...
Current Base Reference:
20 Tokens
The current interface expects subscribers to paste CSV-formatted text into the Standard Prompt Textarea.
The placeholder specifically instructs:
include headers.
A simple Dataset can look like:
Name,Sales,Region
followed by data rows.
There is no source-verified:
Upload CSV
button.
Standard ToolPage has no file-drop zone.
.xlsx and .xls files cannot be uploaded through this Tool's current page.
The page does not first run the Input through a dedicated CSV parser before AI generation.
The pasted data remains Textarea content sent to the AI Model.
The first built-in example supplies:
and asks the Tool to analyze the Sales data.
Built-in example:
Analyze customer churn data and identify the top 3 factors contributing to churn.
Built-in example:
Find correlations and outliers in this survey response dataset.
You can ask for:
when the Dataset permits.
You can request totals for numeric columns.
Ask for arithmetic means when appropriate.
Specify median calculation if important.
Ask for range-related summaries.
Request percentages for categorical outcomes where applicable.
Time-series data can be used to request growth calculations or interpretation.
The Tool's description specifically positions it for:
trend analysis.
The placeholder and examples explicitly support asking for:
outliers.
The Survey example explicitly asks the AI to identify:
correlations.
You can request comparisons across categories such as:
You can ask for ranked results such as:
The current Tool sends pasted CSV Text to the same Standard AI-generation architecture used by other ToolPage generators.
It does not expose a separate statistical execution engine.
The current page does not establish that it executes:
against the submitted data.
There is no source-verified R runtime.
The Tool does not execute native Excel formulas on the Dataset.
For consequential numerical analysis, independently verify calculations.
Even when the Input is well structured, generated statistical calculations can contain mistakes.
Because CSV data is pasted into a Textarea and sent as Model context, very large Datasets can exceed practical Model/context limits.
There is no source-verified row-count or maximum-file-size indicator because there is no uploaded file.
The client does not source-verify automatically sampling a very large Dataset.
An AI-observed relationship between columns should not automatically be described as a causal relationship.
If an exact correlation coefficient matters, calculate it with a proper statistical Tool.
A generated statement that a variable contributes to customer churn should be validated before being treated as an established causal driver.
An unusual value can represent:
Do not automatically remove it.
Use clear Column names.
Each row should use a consistent Column structure where possible.
Explain blank/missing values if they have special meaning.
Include units where ambiguous.
Use consistent Date formats.
Clarify Currency when monetary data is involved.
Clarify whether values are stored as:
when necessary.
Explain unclear abbreviations or internal business codes.
Before pasting a Dataset, consider removing personally identifiable information that is unnecessary for the analysis.
Do not paste:
into CSV Analyzer.
Only provide customer information that is appropriate under your organization's privacy and data-handling rules.
The same caution applies to Employee datasets.
High-sensitivity information requires appropriate governance and should not be submitted merely because the Tool accepts text.
The page does not render CSV rows inside an editable spreadsheet grid.
There is no checkbox interface to choose Columns.
There is no data-table Sort control.
There is no interactive Dataset Filter.
The page does not provide:
as direct controls.
The Tool does not output a transformed .csv Dataset.
CSV Analyzer does not automatically turn analysis into a rendered Chart.
The Dataset is not saved as a reusable data project through Standard ToolPage.
The Tool does not query live database tables.
Do not ask only:
“Analyze this.”
when you have a particular business question.
Provide definitions for ambiguous headers.
A useful Prompt can request:
“State any assumptions before interpreting this dataset.”
For important analysis, ask the Model to show:
so it can be checked.
Use an appropriate spreadsheet/statistical environment for final numerical verification.
Navigate to:
Sidebar → Data & Analytics → Survey Builder
Route:
/survey-builder
Survey Builder.
Current description:
Generate professional survey questionnaires with well-crafted questions, answer options, and flow logic.
Current guidance:
Describe the purpose of your survey, target audience, and key topics you want to cover...
The individual page passes:
15 Tokens.
The synchronized feature catalogue supplies:
20 Tokens.
Because the catalogue has higher priority than the route fallback:
20 Tokens
is the current default Standard ToolPage reference unless live settings override it.
Built-in example:
Create a 15-question customer satisfaction survey for a SaaS product with NPS scoring.
Built-in example:
Build an employee engagement survey covering work-life balance, management, and growth.
Built-in example:
Design a post-event feedback survey for a tech conference with rating scales and open-ended questions.
Explain why the Survey exists.
Identify who will answer it.
Tell the Tool which subjects the Survey should measure.
There is no dedicated Question Count selector.
Specify it in the Prompt.
You can request:
Specify whether the Survey should be:
You can ask the AI to generate multiple-choice Questions.
The Event example explicitly supports:
rating scales.
The Event example also explicitly includes:
open-ended questions.
The SaaS example explicitly references:
NPS scoring.
Subscribers can ask for Likert-scale Question wording as generated text.
These can also be requested.
If appropriate, the subscriber can request demographic Questions.
Consider privacy and necessity before collecting such information.
The page description says Survey Builder generates:
questions, answer options, and flow logic.
The current Standard ToolPage does not implement interactive branching.
The AI might recommend:
If No → Skip to Question 8
but that instruction is only generated content.
The page does not execute:
Branching must be recreated in the Survey platform where the questionnaire is ultimately deployed.
The built-in example demonstrates that the Tool can draft NPS-oriented Surveys.
The page does not collect responses or calculate an actual Net Promoter Score.
No respondent records are automatically classified as:
because no responses are collected here.
There is no persistent NPS reporting Dashboard.
There is no drag-and-drop Question editor.
Questions are generated in the standard Markdown Output rather than editable Survey blocks.
The Tool does not publish a Survey URL.
It does not generate a Survey QR Code.
The page does not Email the Survey to respondents.
It does not send Survey invitations by SMS.
No Website embed script is generated as an executable Survey form by the current Tool.
The Tool does not receive submitted answers.
No respondent list is maintained.
There is no interactive Survey privacy configuration.
No response results Dashboard is generated.
No live response Charts are created.
There are no responses to export from this Tool.
The Tool generates questionnaire content rather than statistically analyzing collected results.
There is no persistent Survey project.
Avoid combining multiple topics into one Question.
Do not word Questions to push respondents toward a particular answer.
Use neutral wording where objective measurement is the Goal.
Multiple-choice options should cover the plausible response range.
Response ranges should not overlap ambiguously.
Some respondents may not have enough experience to answer.
Do not collect identifying information unless it serves a legitimate purpose.
Before broad distribution, test the questionnaire with a small group.
Make sure no branching recommendation creates dead ends or skipped required Questions.
Use Survey Builder to create the first draft.
Remove:
Move the approved Questions into the system used to collect responses.
Implement actual Skip/Branching Logic there.
Complete the Survey yourself before publishing.
Response collection happens outside the current Survey Builder page.
Once responses exist, the appropriate analysis system can be used.
CSV Analyzer may help interpret pasted response data, but there is no automatic Tool-to-Tool transfer.
Navigate to:
Sidebar → Data & Analytics → KPI Dashboard
Route:
/kpi-dashboard
The page title is:
KPI Dashboard Generator.
Current description:
Generate meaningful KPI definitions, measurement formulas, and dashboard layout recommendations for any business.
Current guidance:
Describe your business type, goals, and the metrics you want to track...
Current Base Reference:
20 Tokens
Built-in example:
Define the top 10 KPIs for a B2B SaaS startup with ARR under $1M.
Built-in example:
Create a marketing performance dashboard with KPI definitions and target benchmarks.
Built-in example:
Generate an operations dashboard for a logistics company tracking delivery, cost, and quality metrics.
Tell the Tool what kind of organization is being measured.
A Startup and mature Enterprise may need different KPIs.
Identify what the organization is trying to improve.
Useful functional categories can include:
Specify whether the Dashboard is:
Identify the Dashboard user.
Examples:
Ask for a clear Metric name.
The description explicitly supports generated:
KPI definitions.
The Tool description also explicitly supports:
measurement formulas.
Ask the AI to recommend what data would be needed to calculate the KPI.
Ask how often the Metric should be updated.
You can request a suggested business owner for each KPI.
Ask for a target framework where appropriate.
A generated KPI Formula appears as text.
The Tool does not execute the Formula against actual data.
It does not open a Spreadsheet and calculate the KPI.
Before operational use, confirm:
If requesting Annual Recurring Revenue, define what revenue should count.
Specify whether you mean:
Define the exact:
Clarify which costs should be included.
Clarify whether the Metric is based on:
where relevant.
KPI Dashboard Generator can suggest how Metrics should be organized visually.
The AI can recommend headline KPI Cards.
It can suggest time-series Charts.
It can recommend Segment or category views.
It can recommend supporting Tables.
The output remains Standard ToolPage content.
There is no interactive layout designer.
The subscriber cannot drag KPI Cards into positions inside this Tool.
The built-in Marketing example requests:
target benchmarks.
The selected AI can suggest benchmark values or target frameworks.
The current Standard ToolPage does not establish a live benchmarking database connection.
If industry benchmark accuracy matters, verify generated values with an appropriate current data source.
Historical company performance can often provide a better basis for targets if supplied to the Prompt.
There is no source-verified connection to:
systems through this page.
The Tool does not render a live KPI Dashboard.
Metrics do not update automatically.
The page does not send alerts when a KPI crosses a threshold.
There is no Dashboard-access-control configuration.
The Tool does not schedule KPI reports.
There is no interactive Metric drill-down.
There is no Dashboard Date or Segment filter.
The Tool does not store source Metric data.
There is no Saved KPI Dashboard project in Standard ToolPage.
A KPI should matter to an actual decision or objective.
A Dashboard containing every possible Metric can become difficult to use.
Not every number needs to be a headline KPI.
Different teams can interpret the same Metric name differently.
Identify who is responsible for producing and validating each Metric.
A daily operations Metric may not need the same cadence as a quarterly strategic KPI.
Use:
where useful.
Do not automatically treat an AI-generated target as an authoritative industry standard.
A possible workflow is:
Create Survey
→ Publish Survey Externally
→ Collect Responses
→ Export Responses as CSV from that Survey system
→ Paste relevant CSV content into CSV Analyzer
There is no automatic transfer between the two PROS SUITE Tools.
Another useful sequence is:
Analyze Data
→ Identify Key Insight
→ Provide Relevant Data and Insight to Data Visualizer
→ Generate Chart recommendation/configuration
Again, the current Tools do not transfer data automatically.
Historical business data can help inform KPI selection.
Paste relevant summary context into KPI Dashboard Generator.
Once KPI definitions are established, Data Visualizer can help recommend how to present them.
| CapabilityData VisualizerCSV AnalyzerSurvey BuilderKPI Dashboard | ||||
| Standard ToolPage | Yes | Yes | Yes | Yes |
| Text Prompt | Yes | Yes | Yes | Yes |
| Examples | Yes | Yes | Yes | Yes |
| Streaming Output | Yes | Yes | Yes | Yes |
| Copy | Yes | Yes | Yes | Yes |
| TXT Download | Yes | Yes | Yes | Yes |
| Direct Edit | No | No | No | No |
| Save | No | No | No | No |
| History | No | No | No | No |
| Selected Model | Yes | Yes | Yes | Yes |
| FunctionCurrent Tool Executes It? | |
| Generate visualization recommendations | Yes |
| Generate Chart configuration text | Yes |
| Render a live Chart | No |
| Paste CSV as Prompt | Yes |
| Upload CSV file | No |
| Run dedicated statistical software | No |
| Generate Survey questionnaire | Yes |
| Publish Survey | No |
| Collect Survey responses | No |
| Generate KPI definitions | Yes |
| Generate KPI formulas | Yes |
| Connect KPI formulas to live data | No |
| Render live KPI Dashboard | No |
| External Data SourceDirect Connection Verified? | |
| Excel | No |
| Google Sheets | No |
| MySQL | No |
| PostgreSQL | No |
| SQL Server | No |
| Salesforce | No |
| HubSpot | No |
| Google Analytics | No |
| Power BI | No |
| Tableau | No |
| Survey platform | No |
Enter non-whitespace Input.
Provide a Dataset, description, Survey requirement, or KPI request appropriate to the Tool.
Add more context such as:
Standard ToolPage does not provide direct Output editing.
Use Copy or Download.
There is no persistent Standard ToolPage history.
That is the current source-verified Download format.
This is expected in the current implementation.
Data Visualizer generates:
as text.
The current page does not render/export a Chart image.
Use the generated recommendation/configuration in an appropriate visualization environment.
Review the generated configuration for:
and test it in your development environment.
The current Tool does not directly create an Excel workbook or Chart.
The current page provides a Textarea rather than a file uploader.
Paste the relevant CSV data.
CSV Analyzer returns AI-generated analysis rather than a transformed spreadsheet.
Verify important numerical calculations with spreadsheet/statistical software.
Reduce the Dataset to the relevant columns/rows or create a summarized sample appropriate to the analysis.
Explain the Column and analysis objective explicitly.
You can ask AI to explain which Test may be appropriate, but the current page does not source-verify executing a dedicated statistical package.
That is consistent with the current source.
Survey Builder does not host Surveys.
Use the actual Survey platform where the generated questionnaire is implemented.
The Tool can generate an NPS-oriented questionnaire but does not collect responses or calculate live NPS.
AI can draft the logic as text.
Implement it in the Survey platform.
There are no collected Responses inside Survey Builder, so no response Chart Dashboard exists.
KPI Dashboard Generator creates Dashboard recommendations as text.
It does not render a live BI Dashboard.
The Tool has no direct data-source connection.
No live refresh or scheduled Metric calculation is source-verified.
Verify the benchmark using current, authoritative industry or company data.
Use your organization's established Metric definition.
KPI names can have different formulas between organizations.
AI output can contain:
Important financial, operational, legal, medical, scientific, or compliance decisions should not rely solely on unverified AI analysis.
A Dataset value is different from the AI's interpretation of what that value means.
Pattern recognition does not automatically establish cause.
Percentages can be misleading when the denominator is unclear.
Comparisons should use consistent periods.
Do not mix:
without adjustment.
Only provide the information necessary for the requested analysis.
Remove unnecessary:
from datasets when they are not needed.
Credentials are not analytical data.
API Keys should never be included as Dataset content.
Avoid providing full payment credentials.
Use these Tools consistently with your company's data-governance and confidentiality requirements.
Data Visualizer currently supports:
It does not establish:
CSV Analyzer currently supports:
It does not establish:
Survey Builder currently supports:
It does not establish:
KPI Dashboard Generator currently supports:
It does not establish:
Start with:
What decision are we trying to make?
Determine what information supports that question.
Clean, summarize, or structure the relevant information appropriately.
Choose:
Submit the detailed Prompt.
Read the complete AI result.
Validate important:
Move the approved work into the real:
as appropriate.
Use real operational data to determine whether the implemented analysis or Dashboard provides value.
AIUNIFY PROS SUITE currently exposes four active Data & Analytics Tools:
All four are marked New in the current Sidebar.
None of the four currently has a specialized visual data workspace.
They all use the shared Standard ToolPage and therefore follow:
Input → Generate → Streaming Markdown Output → Copy → TXT Download
Data Visualizer is designed to:
“Generate chart configurations and visualization recommendations from your data descriptions.”
Its examples explicitly include:
and its current Base Reference is 20 Tokens.
The current Tool generates text/configuration recommendations rather than rendering an actual live Chart.
CSV Analyzer is designed to let the subscriber:
paste CSV data
for AI-generated statistical summaries, trend analysis, and actionable insights.
Its current interface is still the Standard Textarea. There is no CSV file-upload control, spreadsheet grid, or source-verified independent statistical execution engine.
Its current Base Reference is 20 Tokens.
Survey Builder is designed to generate:
and includes built-in examples for:
It generates the Survey as text rather than hosting it or collecting responses.
The Sidebar label KPI Dashboard opens:
KPI Dashboard Generator.
It generates:
for business use.
Its built-in examples cover:
and its current Base Reference is 20 Tokens.
The Tool does not create a connected, real-time BI Dashboard or automatically calculate those KPIs from live company data.
Current default references are:
Live aiLimits settings can still override these values, and Standard ToolPage applies its OpenAI display multiplier when applicable.
The central operating principle for Chapter 43 is:
AIUNIFY PROS SUITE Data & Analytics Tools accelerate data interpretation, visualization planning, Survey design, and KPI definition. They do not currently replace the spreadsheets, statistical engines, databases, Survey platforms, Charting libraries, or Business Intelligence systems required to execute, validate,