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Zark handles a wide range of requests — data analysis, file management, content creation, web research, and more. These tips help you get the most out of every interaction.

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Be Specific About What You Want

Broad prompts leave too much room for interpretation. Specific questions produce specific answers. 
# Vague — Zark has to guess what you want
Analyze this data

# Specific — Zark knows exactly what to compute
Show the top 10 customers by revenue, including average order value and purchase frequency
Specificity applies to scope and time frames too: 
# Ambiguous
Sales by region

# Clear
Sales by region for Q3 2025 compared to Q3 2024

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Reference Files by Name

When multiple files are available, naming them removes ambiguity: 
According to the Q3 Report, what was our total revenue?

Compare the projections in the Budget spreadsheet to actual results in the Revenue file
If only one file is attached, implicit references work fine — “summarize this document” is unambiguous when there’s only one.

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Build on Previous Responses

Follow-up questions are often more effective than trying to specify everything upfront: 
# Start broad
Show me revenue by region

# Then refine
Now filter that to just Q4

# Then go deeper
Which region had the highest growth rate?

# Then take action
Create a report comparing the top 3 regions
This incremental approach mirrors how analysis actually works.

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Ask for Explanations

If a result isn’t clear, ask how it was derived: 
How was this calculated?

Why were these records excluded?

What filters did you apply?

Explain this metric in simpler terms

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Request Specific Formats

Guide how results are presented: 
Summarize this in three bullet points

Provide a one-paragraph executive summary

Show this as a comparison table

Give me the raw numbers, not a chart

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Data Analysis Tips

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Verify Your Data First

Before running analysis, check that the data looks right: 
How many rows are in this data?

What columns are available?

Show me 10 random rows

Are there any data quality issues?

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Handle Nulls Explicitly

Null values can produce surprising results. Be explicit about how to handle them: 
Sum amount, treating nulls as zero

Average amount, excluding null values

How many rows have null values in the amount column?

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Check Grouping

If grouped results don’t look right, verify the grouping: 
How many distinct values are in the region column?

Show me what values would group together if we ignored case

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Ask for Query Explanations

When you’re not sure how Zark interpreted your question: 
How did you calculate that?

What filters did you apply?

Show me the breakdown of how you got this number

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Content Creation Tips

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Be Descriptive for Images

The more detail you provide, the better the result: 
# Basic
Create an image of a city

# Detailed
Create an image of a futuristic Tokyo skyline at night with neon signs, flying cars, 
rain-slicked streets, and a cyberpunk atmosphere. Wide angle, cinematic lighting.

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Provide Context for Artifacts

When asking Zark to build code or documents, provide context about the purpose: 
Write a Python script that reads a CSV of customer orders, calculates monthly revenue 
trends, and outputs a summary table. The CSV has columns: order_id, customer_name, 
product, amount, order_date.

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Chain Research into Creation

For the best results on complex deliverables, let Zark research first: 
Research the top 5 project management tools in 2026, compare their pricing and features, 
and create a detailed comparison report with a recommendation.
Zark runs web research first, then uses the findings to create a well-informed artifact.

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General Tips

TipWhy
Start with simple questionsBuild complexity incrementally — start broad, then refine
One question at a timeMulti-part questions can be split into sequential follow-ups
Specify time frames”Q3 2025” is better than “recently” or “last quarter”
Name your filesClear filenames help Zark and help you reference them in conversation
Use follow-ups”Now filter that to just…” is natural and efficient