Redaction
Use redaction before copying prompts that contain names, project codes, credentials, customer IDs, or other sensitive values. Redaction changes the generated prompt preview, not the source fields you typed. Redaction rules can contain the very values they hide, so they are kept only while this page is open and are never saved or exported.
P2 Paste Scrub
Turn on P2 scrub before using personal or sensitive source text. Prompertize masks common patterns locally before preview, copy, and vault save, including emails, greeting or self-introduction names, phone numbers, SSNs, card-like numbers, IP addresses, street-address-like text, DOB fields, and secret/token fields.
Exact Phrases
Best first choice. Add one word or phrase per line, such as a company name, unreleased product, person name, account number, or private project codename.
Key And Key=Value
Add key names such as password or api_key to redact values after separators like colon or equals. Add an exact pair such as customer_id=12345 when only one value should be masked.
Regex Patterns
Use only for advanced matching. Prompertize runs regex locally, limits pattern size, skips invalid patterns, and warns you when a pattern is skipped. To keep the page responsive, patterns that can backtrack badly are refused: repeated groups containing | or another repeat, backreferences, lookarounds, and more than one open-ended + or * (use bounded repeats such as {1,64}). Regex rules do not run on text longer than 20,000 characters; you will see a warning, and exact phrases and keys still apply.
Delimiter Format
Markdown headings are easiest to read. Hash sections are compact. XML tags are useful when you want very explicit boundaries around context, instructions, examples, or data.
Guardrails
Add rules for what the AI must not invent, what sources it can use, what topics are out of scope, and when it should say it does not have enough information.
Ask When Details Are Missing
Use this when wrong assumptions are costly. The generated prompt tells the AI to ask clarifying questions instead of guessing when required details are missing.
Step-By-Step Process
Use this for multi-part work. Provide the process you want followed, such as inspect source, extract facts, compare options, identify risks, then produce final recommendations.
Variable References
Use named intermediate outputs like [KEY_FACTS], [RISKS], [OPTIONS], or [FINAL_RECOMMENDATION] when you want the AI to organize work before the final answer.
Dataset Analysis Notes
Use this for spreadsheets, exports, logs, surveys, or tabular data. Include column names, definitions, filters, missing-value rules, and calculation limits.
Ask For Data Separately
Use this when the instruction and the dataset should stay separate. The generated prompt asks the AI to wait for the data before analyzing it.
Examples
Add good input-output examples, style examples, or counterexamples. Examples help the model match format and quality more reliably than abstract instructions alone.