Optional: you can start with empty fields. If you fill once, these five values plus the rules below are auto-prepended every time you click Copy prompt. Stored only in this browser session.
Rules injected on copy (non-negotiable)
No generic advice. If context is missing, ask up to 3 targeted questions first.
Do not invent numbers, claims, or testimonials. Flag what must be verified.
Output must be usable: sections, owner where relevant, next action with deadline.
1
Start
~5–10 minStart here
30-day content system
Create a 30-day content plan using 4 content principles
META: You are a US market content strategist. Goal: build a 30-day plan using 4 pillars (Authority, Problem, Proof, Offer).
INPUT: Audience [ ], pain point [ ], unique selling proposition [ ], channel [ ], target city [e.g., Austin, Miami, Chicago]. Include weekly budget ranges in $ when relevant.
OUTPUT: A 30-day table with topic, hook, format, CTA, KPI, and expected outcome. Keep tone practical for US B2B buyers.
Weekly themes mapped to 4 pillars (Authority, Problem, Proof, Offer)
One next action for week 1 with owner and deadline
2
Start
~5–10 min
One idea → 7 formats
Turn one idea into 7 different formats
META: You are a cross-channel strategist. Goal: turn 1 core idea into 7 high-performing formats for US audiences.
INPUT: Core idea [ ], audience [ ], offer [ ], channel priorities [ ]. Keep one message while adapting language by channel.
OUTPUT: 7 assets: LinkedIn post, carousel, 30-sec short video, email, landing hero, ad copy, and 3 hooks. Make examples sound native in US business context.
Same core message across channels with channel-fit tweaks
3 ready-to-test hooks with one chosen recommendation
3
Start
~3–5 min
LinkedIn authority building
150–200 word post with hook, 3 points, example and call to action
META: You are a LinkedIn authority writer for US B2B. Goal: draft a trust-building post backed by proof.
INPUT: Topic [ ], proof point [number or customer outcome], city/market context [optional]. Target 150-200 words.
OUTPUT: 1 post with hook, 3 clear points, 1 concrete example, and CTA. Write like a sharp operator, not corporate fluff.
💡
Authority:
Proof + concrete points = trust and engagement.
Expected output
1 LinkedIn post (150-200 words) with hook, 3 points, example, CTA
Concrete proof point cited (number or customer outcome)
Verification flag for any unsupported claim
Breathe (10 sec): do you have a clear hook + proof + one CTA? If not, refine one line and run again.
4
Start
~3–5 min
30 sec video script
Write a 30-second video script with a clear hook and CTA
META: You are a short-form video scriptwriter (Reels/TikTok/Shorts). Goal: produce a 30-second script that stops the scroll.
INPUT: Topic [ ], example [ ], audience [ ]. Hook must land in 0-2 seconds.
OUTPUT: Timestamped script: 0-2s hook, 3 key beats, proof/example, CTA. Keep it punchy and natural for US social feeds.
Use metrics to understand what isn’t working, why, and what to do next
META: You are a performance analyst. Goal: convert metrics into tomorrow's action plan.
INPUT: Metrics [CTR, CAC, CPL, conversion rate], channels [ ], period [ ], goals [ ]. Include $ impact where possible.
OUTPUT: 4 blocks: (1) What's underperforming, (2) Why (hypothesis), (3) What to test next, (4) What to pause. Use plain US business language.
💡
Closed loop:
Metrics without action = standing still. Data → decisions.
Expected output
What is underperforming with $ or % impact
Hypothesis for why, separated from facts
Next test (this week) and what to pause now
Owner and decision deadline
6
Skills
~5 min
Objection handling tool
Turn customer objections into content that neutralizes them
META: You are a conversion copy specialist. Goal: turn objections into trust-building content that closes deals.
INPUT: Top objections [ ], product/offer [ ], audience [ ]. One objection per content unit.
OUTPUT: 10 pieces (posts, emails, landing snippets): objection, reframing angle, proof, CTA. Tone: direct, empathetic, confident.
💡
Conversion:
Real questions + answers = less friction, more trust.
Expected output
10 content units, one per top objection
Per unit: objection, reframing angle, proof, CTA
Channel suggestion per unit (post, email, landing snippet)
Reset (10 sec): write down 3 real objections in the customer’s own words. Run the prompt again — the output will be much sharper.
7
Skills
~5–10 min
Lead generator post + DM sequence
Lead generator post + 4-message sequence
META: You are a demand-gen specialist. Goal: create 1 lead magnet post plus a 4-step DM follow-up sequence.
INPUT: Lead magnet [what it gives + what it solves], audience [ ], offer [ ]. Sequence flow: opener -> qualify -> value -> offer.
OUTPUT: (1) Post: hook, value, CTA. (2) Four DM messages with clear next step. Keep language US-native and conversion-focused.
META: You are a case-study writer for B2B sales enablement. Goal: turn raw data into a customer story that drives trust and action.
INPUT: Customer [ ], problem [ ], solution [ ], process [ ], results [numbers/quotes], city/market [optional].
OUTPUT: 6 sections: Problem, Solution, Process, Results, Key takeaway, CTA. Prioritize concrete outcomes and $ impact when available.
META: You are an SEO content strategist. Goal: build a topic cluster (1 pillar + 8 subtopics) for organic growth.
INPUT: Pillar topic [ ], niche [ ], offer [ ], audience [ ]. Subtopics must support buying intent and internal linking.
OUTPUT: (1) Pillar page outline with CTA, (2) 8 subtopic titles with intent tags, (3) internal link map. Use US search intent wording.
💡
Authority:
Main topic + subtopics = reach and expert position.
Expected output
1 pillar page outline with CTA
8 subtopic titles tagged by search intent
Internal link map between pillar and subtopics
10
All together
~5–10 min
Main prompt (control center)
One integrated plan: content, one idea many formats, testing, actions
META: You are a marketing operations strategist. Goal: build one control-center plan covering content, repurposing, testing, and weekly priorities.
INPUT: Business [ ], audience [ ], pain point [ ], unique selling proposition [ ], revenue goal [ ], channels [ ], data [metrics, objections, stories].
OUTPUT: 6 blocks: (1) 30-day plan, (2) 5 content assets for this week, (3) one idea -> 7 formats, (4) 3 test hypotheses, (5) KPI reading guide, (6) 3 actions for tomorrow by priority. Keep it execution-ready for US teams.
💡
Control center:
Everything in one place: 30-day plan, 1→7, testing, priorities.
Expected output
30-day plan + 5 content assets for this week
1 idea expanded into 7 formats
3 test hypotheses with success criteria
3 prioritised actions for tomorrow with owners
What is a prompt?
A prompt is a clear instruction to an AI tool: what to do, for whom, and in which format.
The clearer the prompt, the fewer fixes you need after the first answer.
Context + Goal + Constraints + Format
What is Prompt Anatomy?
Prompt Anatomy is a structure that helps you write prompts with consistent and repeatable results.
Role: who is speaking and at what expertise level.
Context: situation, audience, and limits.
Goal: one clear result.
Constraints: tone, length, what is not allowed.
Format: how the response must look.
Evaluation: how to judge response quality.
Meme #2 — when you move from “write something” to a clear structure and the output is finally solid.
Definitions (1 min)
Prompt: a clear instruction for an AI tool with context, a goal, and a required format.
Prompt Anatomy: a framework that standardizes prompt structure and makes outputs repeatable.
Content AI system: a process + prompt sequence that turns “ideas” into a plan, publishing, and measurable actions.
Choose a scenario
Pick a practice flow. Copy includes your saved marketing context and rules when set.
You are my marketing analyst. Last week’s metrics: [PASTE NUMBERS OR SCREENSHOT SUMMARY]. Audience: [AUDIENCE]. Channels: [CHANNELS]. Give me: (1) the single biggest insight from the data, (2) three prioritized actions for next week with owner + deadline, (3) one metric to watch and why.
Next action: Schedule a 20-minute metrics review with the owner named for action #1.
Bottom line: Three actions beat ten vague ideas—ship the smallest test that reduces uncertainty.
Risks:
- Cherry-picking one spike without checking sample size
- Optimizing vanity metrics (likes) instead of pipeline or revenue signals
Questions:
- Which number changed week-over-week and by how much?
- What did we intentionally not do last week that could explain the result?
Pre-publish safety
Run this reviewer prompt before you publish AI-assisted marketing. Copy includes your session context and rules when set.
Act as a marketing risk reviewer. Review this AI-generated content before I publish it: [TEXT].
Audience: [AUDIENCE]. Channel: [CHANNEL]. Return:
1) factual claims to verify (numbers, customer quotes, comparisons),
2) brand/tone risks,
3) legal or trust risks (claims, disclaimers, IP, testimonials),
4) missing context a reader would need before acting,
5) a safer revised version if needed.
Quick checks
Facts verified
Brand/tone
Legal/trust
CTA + owner
What next?
Best to go in order from 1 to 10. Click a link to jump to that prompt.
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