Marketing Team · Internal Guide

AI at Easy Weddings

A starting guide to turning routine work into reusable skills — so the team spends its time on the creative, human work that matters.

Prepared for
Sarah Ripley · Marketing Manager
Prepared by
Alec Butterworth
Date
May 2026

This document was designed by AI — directly from the Easy Weddings brand kit. The colours, fonts, logo and layout were not chosen by hand. They are the brand guide, applied automatically. Section 4 explains how.

AI Starting Guide
1
The opportunity

Why this matters

91% of marketers use AI tools. Only about 6% have built it into how they actually work.

The gap isn't access — everyone has the tools. The gap is turning one-off, occasional use into repeatable practice. Most people dabble; very few have made AI part of the daily rhythm of the team.

This guide is about closing that gap for the marketing team: taking the routine work that quietly fills the week and converting it into skills the whole team can reuse. The goal isn't “use more AI” for its own sake. It's to hand the repetitive production work to a machine, and free people up for the strategic, creative, human work that AI can't do — and that only the team can.

2
The core idea

Prompts vs. Skills — the one idea that matters most

If you take one thing from this guide, take this.

A prompt is a one-off request. You ask, you get an answer, and it's gone. Useful, but it helps you once.

A skill is a saved, reusable procedure. You build it once — teaching AI exactly how you want a task done — and then you, and the team, run it again and again, getting consistent results every time.

Why it matters: a prompt helps you today. A skill compounds. The monthly report you write by hand each month becomes a skill — and now it takes minutes, every month, for everyone who needs it. One person's good prompt becomes the whole team's tool.

The mental shift: every time you solve something well with AI, ask — “will I do this again?” If yes, it should be a skill, not a prompt.
3
Calibrating trust

What AI is genuinely good — and bad — at

Using AI well starts with knowing where to trust it and where not to.

Strong — lean on it

  • Drafting — emails, copy, reports, briefs
  • Summarising long documents and threads
  • Restructuring messy notes into something clear
  • Research, comparison and first-pass analysis
  • Analysing data you give it
  • Generating lots of options, fast

Weak — keep control

  • Anything about Easy Weddings it hasn't been told
  • Facts and figures — it will guess confidently
  • Final judgement, taste and the call to ship
  • Very recent events it has no knowledge of
  • Knowing what it doesn't know
Rule of thumb: AI handles the production drag — drafting, formatting, summarising. You keep the thinking, the judgement and the final call. Treat every output as a strong first draft, never the finished product. Always check the numbers.
4
The biggest lever

Feed the machine — context is everything

This is the lever most people miss. AI is only as good as what you give it. Out of the box, it knows nothing about Easy Weddings. The more EW-specific context you feed it, the more its output stops being generic and starts being ours.

There are three layers of context worth feeding it:

A
Brand context. Feed it the brand kit — logos, colours, type, tone — and it builds its own brand guide. Every design and every piece of copy then comes back on-brand, without you re-explaining the brand each time.
B
Knowledge context. Feed it the EW Wedding Industry Report and wedding-industry data. Now research is grounded in real numbers, copy claims are evidence-based, and strategy references what couples and vendors actually do — not what AI guessed.
C
Live-tool context. Connect it to the systems where EW's data lives — GA4 for traffic and conversions, Asana for project state, the inbox, HubSpot. Now it works from current, real data instead of a static snapshot.
This page is the proof

This document was designed by AI, directly from the Easy Weddings brand kit. The Rose Gold accent, the Space Cadet headings, the Lora and Lato fonts, the logo, the layout — none of it was chosen by hand. The brand guide was fed in once, and the design followed automatically. No designer touched it. That is exactly what this section is describing.

The principle: every time you find yourself re-explaining something to AI, that's a piece of context you should give it permanently — as a saved guide, an uploaded document, or a tool connection.

5
Where the time comes back

Replacing the repetitive tasks

This is the direct payoff. Below are the everyday tasks that quietly eat the team's week — each one a candidate to become a skill.

Email
Draft replies in your voice, summarise long threads, turn an email into an action item.
Asana
Generate task breakdowns from a brief, summarise project status, draft progress updates.
Meetings
Build agendas, write recaps, pull the action items straight out of your notes.
Reports & docs
First drafts of recurring reports — the monthly marketing report is a perfect first skill.
Research
Condense long documents and competitor pages into the key points that matter.
Organisation
Triage the inbox and calendar, turn a brain-dump into a structured, prioritised plan.

The pattern: do any one of these twice with a good prompt, and it becomes a skill. The point isn't the list itself — it's that every routine task on it can be handed off, giving hours back to the team each week.

6
The unlock skill

Prompting basics

You don't need to be technical to be good at this. You need to be clear. Four habits do most of the work:

  1. Be specific. Not “write a post” — “write a 120-word Instagram caption for couples, warm and practical in tone, ending with a question.”
  2. Give context. The more it knows — audience, goal, brand, background — the better the output. Paste in the real material.
  3. Use real numbers. AI can't invent insight from nothing. Give it real data and it can do a great deal.
  4. Iterate. The first answer is a starting point. “Make it shorter,” “more formal,” “try three other angles” — refine in conversation.
7
Putting it to work

Spotting which of your tasks to turn into skills

A quick test. A task is a good skill candidate if it is:

  • Routine — you do it on a schedule, or regularly.
  • Repeated — it's the same shape each time, even when the details change.
  • Rule-ish — you could explain the steps to someone else.

If a task is all three, it should be a skill.

Try it now

List five tasks you did last week that felt repetitive. Mark the ones that pass all three tests above. Those are the first skills to build — for yourself, then for the team.

8
Using it safely

Data & privacy — what's safe to use

A short, clear set of guardrails so you can use AI with confidence:

  • Safe — marketing copy, public information, your own drafts and notes, industry data, anything already public.
  • Be careful — internal documents, strategy, anything not yet public.
  • Don't — customer personal information, login credentials, anything confidential or commercially sensitive.
When in doubt, leave it out. If you're unsure whether something is safe to paste in, ask first. Sticking to approved company tools keeps this simple — they're set up with the right protections.
9
Getting started

Your first three steps

Concrete, and doable this week:

  1. Build your brand-guide skill. Feed the Easy Weddings brand kit in once. Everything you create afterwards comes back on-brand by default.
  2. Skill-ify one recurring report. Start with the monthly marketing report. Turn it into a repeatable skill — and feel the time it saves.
  3. Pick one keen team member and repeat. Efficiency spreads person by person. One win, shared, becomes the team's new standard.

Then keep a running list of the skills you build. The library grows — and so does the time the team gets back for the work that actually needs them.

AI at Easy Weddings — Internal guide for the marketing team · May 2026