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Insights, tutorials, and updates from the ZharfAI team

AI Tutorials

Learn about AI technologies and implementations

A Shared Queue Can Distort Your AI Experiment
September 19, 2026•11 min read

A Shared Queue Can Distort Your AI Experiment

When AI changes a shared queue, the control group changes too. Choose the right assignment boundary, account for carryover and measure the effect you plan to deploy.

Keep AI-Exported Text from Becoming Spreadsheet Formulas
September 18, 2026•11 min read

Keep AI-Exported Text from Becoming Spreadsheet Formulas

A valid export can still turn untrusted text into a spreadsheet formula. Choose explicit cell types, a known import path and tests that preserve data without granting it execution.

A Low False-Positive Rate Can Still Flood Your AI Alert Queue
September 17, 2026•11 min read

A Low False-Positive Rate Can Still Flood Your AI Alert Queue

Rare events change what an AI alert is worth. Use deployment prevalence, missed cases and review capacity to choose a threshold that your operation can actually support.

Why AI-Generated SQL Counts the Same Sale More Than Once
September 16, 2026•12 min read

Why AI-Generated SQL Counts the Same Sale More Than Once

A query can run without errors and still inflate sales. Learn to check row grain, join multiplicity and aggregation before accepting an AI-generated business report.

Blacking Out a PDF Does Not Make It Safe for AI
September 15, 2026•12 min read

Blacking Out a PDF Does Not Make It Safe for AI

Before sending a PDF to an AI service, remove sensitive content from text, images and hidden objects—not just the page view. A practical redaction and release guide.

When Should AI Treat Two Customer Records as One?
September 13, 2026•11 min read

When Should AI Treat Two Customer Records as One?

A practical guide to matching customer records with explicit evidence, review thresholds, cluster checks, and reversible links instead of destructive merges.

Reserve an AI Agent’s Budget Before It Spends
September 5, 2026•13 min read

Reserve an AI Agent’s Budget Before It Spends

A field guide to atomic reservations, concurrent spend, approval binding, reconciliation, and hard economic limits for tool-using AI agents.

A Cloud Region Alone Does Not Prove AI Data Residency
September 4, 2026•14 min read

A Cloud Region Alone Does Not Prove AI Data Residency

A practical contract for proving where AI inputs, inference, embeddings, logs, tools, support access, backups, and fallbacks may operate.

An Epsilon Value Alone Does Not Prove Differential Privacy
September 3, 2026•14 min read

An Epsilon Value Alone Does Not Prove Differential Privacy

A release guide for defining who is protected, bounding contributions, accounting for repeated use, testing utility, and deciding whether a differentially private output is fit to publish.

A Benchmark Score Is Trustworthy Only When Test Exposure Is Known
September 2, 2026•14 min read

A Benchmark Score Is Trustworthy Only When Test Exposure Is Known

A field guide for tracing who or what saw an AI test, separating practice from decision evidence, and accepting, qualifying, rerunning, or retiring a score.

When the Primary AI Model Fails, What May the System Still Do?
September 1, 2026•13 min read

When the Primary AI Model Fails, What May the System Still Do?

A practical contract for deciding which AI functions may continue, degrade, wait, transfer to people, or stop when a model or dependency becomes unhealthy.

Decide What May Enter an AI Knowledge Base Before Retrieval
August 30, 2026•13 min read

Decide What May Enter an AI Knowledge Base Before Retrieval

A practical gate for deciding whether an external file should be rejected, quarantined, transformed, or admitted as retrievable evidence—with provenance and revocation intact.