u/CarryCharacter4779

Not looking for the polished "we use AI
for everything" answer — genuinely curious
what people are actually doing in practice.

I'll go first:

We use it most for client reporting and
ad copy first drafts. The key for us was
building structured prompt templates
with context fields rather than just
asking it to "write a report." Night and
day difference in output quality.

Still doing strategy, client calls, and
anything relationship-based completely
manually. Haven't found a way to hand
that off yet.

What are you actually using it for day
to day? And what have you tried that
just didn't stick?

Six months ago our monthly reporting
process looked like this:

- Account manager pulls data manually
- Spends 2 hours writing narrative
- Sends to client late (always)
- Client barely reads it

Now it looks like this:

- Paste metrics into a structured prompt
- 400-word report in 90 seconds
- Sent on time, every time
- Clients actually comment on insights

What actually changed:

The prompt structure was everything. Not
"write me a report" — that gives garbage.
Instead: client name, industry, metrics
vs targets, one key win, one challenge.
That context is what makes the output
usable.

What didn't work:

Trying to automate the thinking. AI can't
tell you why a campaign underperformed or
what the client actually cares about.
Every report still gets a human pass
before it goes out.

The time saving is real. The quality
ceiling is still human.

What part of your agency workflow have
you successfully handed to AI?

Everyone's talking about using AI to
create more content faster.

That's not the problem.

The problem is that most AI output sounds
exactly like every other agency's AI
output. Generic, hollow, interchangeable.

The mistake: treating AI like a search
engine instead of a junior team member.

A search engine gets a vague question.
A junior team member gets a proper brief
— client context, objectives, tone,
constraints, audience pain points.

The difference in output quality is
enormous.

Agencies winning with AI aren't prompting
harder. They're briefing better.

What's the worst AI-generated output
you've seen from an agency?

Built this for agency work but it works
for anyone managing clients or reporting
on campaigns. Take it.

---

You are a senior marketing strategist
writing a monthly performance report.

Client: [CLIENT NAME]
Industry: [INDUSTRY]
Month: [MONTH/YEAR]
Impressions: [X]
Clicks/Sessions: [X]
Conversions/Leads: [X]
Revenue/Goal Value: [X]
Key wins this month: [LIST 2-3]
Challenges: [LIST ANY ISSUES]

Write a professional 400-word report
with: an executive summary, performance
highlights, what the numbers mean for
their business, and 3 clear
recommendations for next month. Plain
language, no jargon.

---

The trick is the bracketed fields. Most
people prompt AI like a search engine.
Treat it like briefing a junior employee
and the output quality jumps massively.

What's the most useful prompt you've
built for repetitive work?

The exact prompt we use to turn raw client data into a monthly report in 2 minutes (copy it, it’s free)

Yesterday's post got a lot of questions
about how we actually structure the
context fields. So here's the full
reporting prompt — no opt-in, just take
it.

\---

PROMPT:

You are a senior marketing strategist
writing a monthly performance report.

Client: \[CLIENT NAME\]
Industry: \[INDUSTRY\]
Month: \[MONTH/YEAR\]
Impressions: \[X\]
Clicks/Sessions: \[X\]
Conversions/Leads: \[X\]
Revenue/Goal Value: \[X\]
Key wins this month: \[LIST 2-3\]
Challenges: \[LIST ANY ISSUES\]

Write a professional 400-word report
with: an executive summary, performance
highlights, what the numbers mean for
their business, and 3 clear
recommendations for next month. Plain
language, no jargon.

\---

The bracketed fields are the whole game.
Most people skip the context and wonder
why the output sounds generic.

Fill those in properly and you get
something you can send to a client with
minimal editing.

I've got 59 more of these across ad copy,
social content, email sequences and
agency ops if anyone wants them.

What part of your agency workflow still
takes way longer than it should?

Been using AI for agency work for a while now and wanted to share what's actually moved the needle vs what's just hype.

The biggest unlock wasn't finding better AI tools — it was building structured prompts with proper context fields. Generic prompts give generic output. Specific prompts give client-ready output.

Here's what works best:

**Client reporting** — paste in raw metrics + client context and get a full narrative draft in under 2 minutes. Used to take 2 hours.

**Ad copy** — generate 3 angles per campaign (problem-focused, benefit-focused, social proof) simultaneously and A/B test. 15 minutes instead of half a day.

**Cold email sequences** — templated 3-part sequences with bracketed fields for personalisation. We send 3x more outreach with the same team.

**What doesn't work:** vague prompts, no context, expecting AI to know your client. Garbage in, garbage out.

Happy to share some of the actual prompts in the comments if anyone's interested — took a lot of iteration to get them to a point where the output is genuinely usable.

What's your most effective AI workflow right now?