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The workflow guideMarketing

Build a useful free tool to attract customers

Use a coding assistant to build a small free tool that solves a recurring audience problem and introduces your main product.

6 implementation stepsIntermediate

How this works

Use a coding assistant to build a small free tool that solves a recurring audience problem and introduces your main product. A useful free tool gives the audience a small, immediate result that relates naturally to the main product. Its value must stand on its own; collecting contact details is not a substitute for solving the stated task.

Define one bounded transformation, implement it in a simple interface, and test the result with representative and invalid inputs. Use an available coding assistant within the existing project conventions. Keep lead capture optional where the brief allows and explain what data leaves the browser before integrating external services.

Before you start

Audience problem

Choose a recurring task with an observable result, such as a checklist or a bounded calculator.

Calculation or decision rules

Obtain the authoritative formulas or rubric; do not ask a model to invent business rules.

Product handoff

Define the relevant next action and any approved contact-capture requirement.

Prepare the inputs

tool_brief
Required

Problem and user journey

Keep the scope to one useful job.

input_schema
Required

Field definitions

Specify types, ranges, required fields, and examples.

result_rules
Required

Formulas or rubric

Separate deterministic calculations from generated explanation.

brand_context
Required

Approved UI guidance

Use available assets without inventing product claims.

integration_scope
Required

Allowed destinations

Identify whether the prototype may store leads or only show results.

Implementation, step by step

  1. Specify the useful result

    • Write examples of what a user enters and what a successful output looks like.
    • Identify the smallest version that answers the question without login, payment, or unrelated features.

    Checkpoint: A bounded acceptance brief.

  2. Design the input contract

    • Choose clear labels, defaults, validation messages, and an empty-state explanation.
    • Keep unknown values distinct from zero and avoid requiring irrelevant personal details.

    Checkpoint: A form specification with valid and invalid examples.

  3. Implement the transformation

    • Use deterministic code for arithmetic and explicit rules; reserve AI for explanation or text synthesis where needed.
    • If no hosted model or connector exists, provide a local or rules-only prototype and state its limits.

    Checkpoint: A working prototype with traceable result logic.

  4. Create the product connection

    • Explain how the main product helps with the larger job after the free result.
    • Keep the call to action relevant and any lead-capture behavior consistent with the approved brief.

    Checkpoint: A useful result screen with an honest next step.

  5. Test representative journeys

    • Exercise typical, boundary, blank, and malformed inputs and compare results with hand-calculated expectations.
    • Check mobile layout, keyboard operation, and failure handling for any external dependency.

    Checkpoint: Recorded acceptance results and corrected defects.

  6. Prepare a bounded launch

    • Review claims, data handling, and the authorized deployment destination.
    • After an approved release, verify the live input-to-result path and lead receipt separately.

    Checkpoint: A reviewed release candidate or verified authorized deployment.

Decisions along the way

Rules are not agreed

Create a clickable mockup with illustrative results clearly labeled; do not present it as a working calculator.

External AI is unavailable

Offer a clear retry or a supported deterministic result instead of fabricated analysis.

Lead capture fails

Preserve the useful result and show the honest submission state.

What you will produce

free-tool-prototype

Project files

A bounded implementation that can be reviewed and tested.

Include: input_schema · result_logic · interface · error_states

acceptance-checks.md

Markdown

Documents real behavior instead of assuming generated code works.

Include: test_case · inputs · expected · observed · status

Check the result

  • Recalculate every example with an independent method.
  • Confirm invalid values cannot produce plausible-looking success results.
  • Test the complete result and optional lead path on mobile.
  • Verify no unapproved endpoint receives user input.

When something goes wrong

Generated code adds unrelated features

Remove them and return to the bounded acceptance brief.

Formula implementation disagrees with the approved rule

Fix the deterministic logic before polishing explanatory text.

Submission times out

Check for an existing receipt before retrying any external write.

A worked example

SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT

Request

Build a simple meeting-cost estimator.

Inputs

Synthetic example. Synthetic inputs are 4 attendees, 0.5 hours, and a supplied hourly cost of 40 per attendee.

Expected result

Synthetic expected result. The deterministic estimate is 80, labeled as an estimate based on supplied rates. A missing hourly cost asks for input rather than silently using zero.

Run a small pilot

Start small

One narrow task with a handful of representative prospective users.

Record the baseline

Record current task completion time and common calculation or input mistakes.

Agree success criteria

Agree useful-result completion and error criteria before evaluating conversion.

Stop or revise

Stop release if core results are incorrect or user data reaches an unapproved destination.

Keep the scope clear

  • A prototype request does not authorize a public deployment or marketing outreach.
  • Do not invent measured savings, conversion rates, or product capabilities.

Check before using

Check results, invalid inputs, and navigation; measure acquisition performance separately.

Business activities

  • Handle inbound enquiries
  • Build and change software

Editorially adapted workflow; not independently tested.

FROM A RECIPE TO YOUR WORKFLOW

Bring the company context together.

This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.

For this recipe: Recurring audience task · Input data · Definition of a useful result

Start with one recurring task, agree which sources to use, and review the first result with your team.

Discuss this workflow

What does your team do?

Choose the recurring work you would like to improve.

A field guide, made for work.

Plays is a curated library of anonymized business workflows. Each recipe explains the inputs, steps, tools, and checks you can adapt to your team. These are editorial guides, not independently tested implementations.

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