FieldEdge Academy

FieldEdge Academy · AI Marketing Program

The Engine Toolkit

Nine practical tools to turn AI into measurable marketing results — from the right use case to a manager-ready AI Workflow Card. Work directly in this page: every field saves in your browser.

The nine tools — in Engine Map order

How to use this page. Pick a tool above or step through them in order. Every field autosaves in this browser only — nothing is sent anywhere. Use only your organization's approved AI tools, and never paste confidential or personal data into a tool that is not approved.

Ready
01

Pick the right use case · E-Learning

AI Use-Case Finder

When to use it: before anyone writes a prompt. Teams that start with the tool end up with random acts of AI. This finder starts with the recurring work that fills the week and asks, task by task, whether AI genuinely helps.

How to use it

  1. List the recurring marketing tasks that take the most time.
  2. For each, decide whether AI helps, partly helps, or should stay out.
  3. Build the shortlist and carry it into the Prioritization Matrix.

Watch out

"Where AI should not" is half the tool. Tasks that depend on confidential data, legal judgment, or a relationship you own are not shortlist material, however fast AI could draft them.

Practice it first: the Use-Case Finder simulation — six fictional AI ideas built around your marketing, scored and debriefed.

Working area — map the week

Recurring task Channel Frequency AI fit Why

Use-case shortlist

02

Pick the right use case · Individual Coaching

Use-Case Prioritization Matrix

When to use it: once the shortlist is longer than the time you have. The matrix scores business value, feasibility, data readiness, and risk, so effort goes to the use case that can prove something — not the one that demos best.

How to use it

  1. Enter up to five use cases from the finder.
  2. Score each 1–5 per column. Low risk scores high: 5 means the least risk to brand, data, and customers.
  3. Bring the top-ranked use case to Coaching 1.

Watch out

Feasibility without data readiness is a trap. If the inputs the model needs are scattered, outdated, or off-limits, the use case is not ready, however simple the task looks.

Working area — score, then let the ranking argue for you

Use case Business value Feasibility Data readiness Low risk Total Priority

Priority logic: total of 16–20 = Start now · 12–15 = Pilot with guardrails · 8–11 = Park · below 8 = Drop.

03

Load the context · Individual Coaching

Brand Voice & Context Pack

When to use it: before the first real prompt. Generic output comes from a model that was never told who you are, who you serve, or what you sell. The pack captures it once, so every prompt starts from the same verified facts.

How to use it

  1. Fill each field with facts you have verified — not aspirations.
  2. Generate the pack and copy it to the top of every prompt.
  3. Update it when the offer, the persona, or the rules change.

Watch out

The pack is reused everywhere, so one wrong fact spreads everywhere. Keep confidential pricing, contracts, and customer data out of it.

Working area — build the pack

Context pack — paste at the top of every prompt

04

Load the context · Live Online Simulation

Customer Insight Prompt

When to use it: when you need to understand a segment, a competitor, or the questions buyers ask. AI can synthesize fast — and invent just as fast. This prompt asks for sources and separates facts from hypotheses, and the checklist makes you verify before anything is used.

How to use it

  1. Choose the research focus and describe the audience.
  2. Generate the prompt and run it in an approved AI tool.
  3. Open every source yourself and tick the checklist before using an insight.

Watch out

A confident answer is not a sourced answer. If the model cannot point to a source you can open, treat the claim as a hypothesis — never as a fact for a campaign.

Working area — research, then verify

Insight prompt

Verification checklist — before any insight is used

05

Prompt and produce · E-Learning

Campaign Prompt Builder

When to use it: every time you brief AI on a deliverable. Inspired by the CO-STAR framework (GovTech Singapore), the builder makes you state the context, objective, style, tone, audience, and expected response — the brief you would give a new team member.

How to use it

  1. Fill the six CO-STAR parts; leave none blank.
  2. Tick the box to put your context pack (tool 03) at the top.
  3. Give the prompt a version, and log what you change after each review.

Watch out

A vague objective produces a confident, useless draft. If you cannot say in one sentence what the output must achieve, the prompt is not ready.

Practice it first: the Prompt Lab simulation — judge six prompts for the same task before you write your own.

Working area — brief the model

Assembled prompt

06

Prompt and produce · Live Online Simulation

Content Variant Planner

When to use it: when one campaign has to work across channels and segments. AI makes variants cheap, which is exactly how the core message gets lost. The planner fixes the message first, then plans what changes per channel — and turns the plan into one prompt.

How to use it

  1. Write the core message once; it does not change.
  2. Plan each variant: channel, segment, angle, and call to action.
  3. Generate the variant request and run it with your context pack.

Watch out

More variants are not more insight. Plan only the variants you will actually test, and name the KPI each one is meant to move.

Working area — fix the message, vary the angle

Channel Segment Variation angle Call to action

Variant request prompt

07

Review and verify · E-Learning

Human Review Checklist

When to use it: before anything AI-assisted ships. A draft is not a deliverable. A named reviewer checks accuracy, brand, bias, privacy, intellectual property, and disclosure, and owns the result as if they had written every word.

How to use it

  1. Name the piece and the reviewer.
  2. Tick a check only when you have actually done it.
  3. Ship only on "Ready to ship"; log what failed and fix the prompt, not just the text.

Watch out

This checklist is not legal advice. Apply your organization's own policies on privacy, intellectual property, and AI disclosure, and adapt the checks to your jurisdiction.

Working area — review the piece

Accuracy

Brand

Bias

Privacy

Intellectual property

Disclosure

Checks complete0 / 12
Verdict—
Open areas—
08

Launch and test · Live Online Simulation

Test & Measurement Plan

When to use it: before launch, not after. Teams that feel faster but cannot show it never earn the right to scale. The plan names the KPI, the test, and the baseline up front, then calculates time saved and KPI change from your own numbers.

How to use it

  1. Name the use case, the KPI, the test design, and the decision rule.
  2. Enter the baseline from your kickoff, then the result once the test has run.
  3. Read the result against the decision rule — scale, iterate, or stop.

Watch out

Review time is time spent. Count the hours of checking and fixing in "with the AI workflow", or the time saved will be an illusion.

Working area — plan the test, read the result

Hours saved per month—
Time per deliverable—
KPI change vs. baseline—

Hours saved = (before − with AI) × deliverables per month. Time per deliverable = change vs. before.

09

Measure and scale · Individual Coaching

AI Workflow Card

When to use it: when a workflow has run on real work and has a result. The card documents it so a manager can approve it, the team can reuse it, and anyone can check the results. It is The Engine's final deliverable.

How to use it

  1. Fill every field — a blank field is a question the manager will ask.
  2. Pull the result from tool 08 and the review checkpoints from tool 07.
  3. Generate the card and send it for approval with your recommendation.

Watch out

No owner, no workflow. A card without a named owner and a review date is a description, not a standard the team can rely on.

Working area — document the workflow

AI Workflow Card — for manager review

Tools are where the discipline starts. Practice is where it holds.

Every tool on this page is practiced in The Engine — through interactive e-learning, a live online campaign sprint, and one-on-one coaching on your own marketing work.

Request a pilot Open the AI Marketer's Playbook