DefinitionQualityEvaluation

What is prompt testing?

Prompt testing is the practice of systematically evaluating AI prompts against defined criteria before deploying them to your team. It ensures prompts produce reliable, high-quality outputs across different inputs and scenarios.

Glossary

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Defined

Testing Methods

How to test prompts effectively

Every feature designed to help your team work smarter with AI.

Test case design

Create a set of representative inputs that cover common cases, edge cases, and potential failure modes for each prompt.

Output evaluation

Define clear criteria for what good output looks like — accuracy, format, tone, completeness — and evaluate against them.

Version comparison

Compare outputs from different prompt versions using the same test inputs to measure improvement or regression.

Peer review

Have team members review prompt outputs independently before prompts are published to the shared library.

Safety testing

Test prompts with adversarial inputs to ensure they do not produce harmful, biased, or inappropriate outputs.

Regression tracking

Re-run tests after model updates to catch changes in output quality that may require prompt adjustments.

Benefits

Why teams test prompts

Catch quality issues before prompts reach your entire team

Build confidence that shared prompts produce reliable results

Reduce support burden from poorly performing prompts

Identify edge cases and failure modes before they cause problems

Maintain quality standards as AI models change and update

Create a culture of quality that raises the bar for all AI usage

FAQ

Frequently asked questions

How many test cases do I need per prompt?

Start with three to five test cases covering the most common input scenarios and one or two edge cases. Increase coverage for high-impact prompts used across the organization.

Should I retest prompts when AI models update?

Yes. Model updates can change output behavior. Re-run your test cases after major model updates and adjust prompts as needed. Version history in TeamPrompt makes tracking these changes easy.

Can I automate prompt testing?

While full automation is complex, you can standardize your testing process with checklists and templates. TeamPrompt's version control helps you track which versions have been tested and approved.

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How it works

Three steps from install to full AI security coverage.

Install

Add the browser extension to Chrome, Edge, or Firefox — or use the built-in AI chat. No proxy or VPN needed.

Configure

Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.

Protected

Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.

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