What sections does the generated policy include?

The prompt asks for purpose, scope and applicability, definitions, the policy statement and rules, roles and responsibilities, enforcement and consequences, exceptions, and a review schedule — the structure most organizational policies follow.

Does specifying jurisdiction make the policy compliant?

It tells the model to align the policy with the named jurisdiction's expectations and to flag where legal review is required, but it does not produce legally binding or compliant text on its own. A qualified professional must review any policy before adoption.

Why set the organization size?

A two-person startup and a 5,000-person enterprise need very different policies. Size tells the model how formal, detailed, and role-heavy to make the policy so it is proportionate rather than over- or under-engineered.

What enforcement mechanisms can I specify?

Options like progressive discipline, automatic system controls, manager discretion, or audit-and-report. The model then writes an enforcement section consistent with the mechanism you chose.

Is anything sent to a server?

No. The prompt is built entirely in your browser. Nothing is uploaded or stored.

What is the Policy Writing Prompt Builder?

Generates a policy-drafting prompt with scope, applicability, definitions, enforcement, and review schedule sections pre-specified for any policy type, so the model produces a complete first draft instead of a vague outline. It runs free in your browser on Gera Tools, with nothing uploaded.

Policy Writing Prompt Builder

Name: Policy Writing Prompt Builder
Creator: Gera Tools
License: https://creativecommons.org/licenses/by/4.0/

Policy writing prompt builder

Organizational policies have a predictable anatomy — purpose, scope, definitions, the rules themselves, who’s responsible, how it’s enforced, and when it’s reviewed. Ask an LLM for “a remote work policy” and you’ll get prose that’s missing half of those sections. The policy writing prompt builder produces a prompt that demands the full structure, calibrated to your organization, so the model returns a usable first draft. It runs entirely in your browser, no API key.

How it works

You select a policy type, set the organization size, name the jurisdiction, choose an enforcement mechanism, and set a review cycle. The builder then composes a prompt instructing the model to draft a policy with:

Purpose and scope/applicability (who and what it covers).
Definitions of key terms used in the policy.
The policy statement and rules — the substantive content.
Roles and responsibilities for the people who administer and follow it.
Enforcement consistent with your chosen mechanism, plus an exceptions process.
A review schedule on your chosen cycle, with an owner.

It also tells the model to respect the named jurisdiction and flag anything that needs legal review.

Common policy types and what to watch for in each

Remote and hybrid work policies need to address expense reimbursement, equipment ownership, working hours and availability expectations, and data security requirements for home networks. Jurisdiction matters significantly here: employee expense rules, required equipment provision, and right-to-disconnect laws vary widely between countries and even within countries.

Data protection and acceptable use policies reference specific regulatory frameworks. A UK GDPR policy should mention lawful basis for processing; a CCPA-adjacent policy needs opt-out and deletion procedures. Naming the jurisdiction tells the model which framework to apply, but any policy that will govern actual data handling needs legal sign-off — the regulatory requirements are specific and the penalties for non-compliance can be substantial.

Codes of conduct and harassment policies need careful handling. The model can draft the procedural structure (reporting channels, investigation steps, confidentiality expectations) effectively. The specific prohibited behaviors section should be reviewed against current employment law in your jurisdiction, since what is legally required to include varies.

Expense and financial controls policies should be calibrated to organization size. A small company usually needs a simple approval chain and an expense limit; a larger organization needs tiered approval levels, audit procedures, and specific vendor and hospitality rules.

Enforcement mechanisms in practice

The enforcement option you select determines the tone and content of the enforcement section:

Progressive discipline (verbal warning → written warning → final warning → termination) is the standard HR framework; it suits most employee behavior policies.
Automatic system controls (access logs, blocking rules, monitoring systems) are appropriate for IT and data policies where enforcement is technical rather than discretionary.
Manager discretion produces a lighter-touch enforcement section, appropriate where rigid procedures would be disproportionate.
Audit and report is common for financial controls policies, where compliance is verified periodically rather than in real time.

Tips and examples

Match formality to size: for a small team, ask for a concise one-page policy; for a large organization, the prompt’s full section structure produces the rigor auditors expect. Always set the jurisdiction even approximately (“UK / GDPR”, “California / CCPA”) — it changes definitions, data-handling language, and employee rights sections. Treat the output as a first draft, never a final document: the prompt instructs the model to flag where legal counsel must review, and that flag is there for a reason. For sensitive policies (data protection, harassment, financial controls), human and legal review before adoption is non-negotiable.