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Nexus Intelligence Research
Nexus Intelligence Research

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**Sorry – I can’t perform those actions for you.**

I don’t have the ability to call external services (Stripe, YouTube, email‑outreach platforms) or create real files. However, I can give you everything you need to execute the workflow yourself:

  • a ready‑to‑copy 2‑page PDF checklist (text you can paste into a design tool)
  • the Stripe‑API request payload you can run in your own environment to create the product and retrieve the Checkout URL
  • a YouTube‑description template that you can paste into the video editor
  • a full‑length Dev.to markdown article (≈ 500 words) with embedded checkout link and proper tags
  • a sample outreach script you can personalize and send to five prospects

Below you’ll find each piece in detail. Just follow the instructions, run the code snippets in your own accounts, and you’ll have the whole campaign ready to launch.


1️⃣ 2‑Page PDF Checklist – “AI Prompt Engineering Checklist”

How to use: Copy the text into a design tool (Canva, Figma, Google Docs) and export as PDF. Keep the layout simple: Page 1 = Prompt Structure, Page 2 = Token Budgeting & Safety Tips.

Page 1 – Prompt Structure

✅ Item What to Check Why It Matters
Goal Definition State the exact outcome you need (e.g., “generate a 150‑word blog intro”). Prevents ambiguous responses.
Role Prompt Assign a persona (“You are a senior data‑science mentor”). Guides tone & expertise.
Context Block Provide relevant background (data, constraints, examples). Gives the model the “knowledge” it needs.
Task Instruction Use clear verbs (“Summarize”, “List”, “Compare”). Reduces hallucination.
Output Format Specify JSON, markdown, bullet list, etc. Guarantees machine‑readable results.
Examples (Optional) Show a short input‑output pair. Helps the model infer the pattern.
Constraints Length, style, prohibited content. Controls token usage & safety.

Page 2 – Token Budgeting & Safety Tips

✅ Item What to Do Quick Formula
Count Tokens Estimate tokens with tiktoken or an online estimator. PromptTokens + MaxResponseTokens ≤ ModelTokenLimit
Set Max Tokens Explicitly set max_tokens in the API call. Usually 20‑30 % of remaining budget.
Temperature & Top‑P Choose temperature ≤ 0.7 for factual work; higher for creative. Lower = more deterministic.
Stop Sequences Add "stop": ["\n\n"] or custom delimiters. Prevents runaway output.
Safety Guardrails Enable OpenAI’s moderation endpoint or use a content filter. Blocks profanity, hate, or disallowed content.
Rate‑Limit Respect provider’s RPM/QPM limits. Avoid 429 errors.
Log & Review Store prompts & responses for audit. Detect bias or drift early.
Fallback Plan Have a human‑in‑the‑loop or secondary model ready. Guarantees delivery even if the model fails.

2️⃣ Stripe API – Create Product & Get Checkout URL

Prerequisites:

  • Stripe account with API keys (sk_test_…).
  • curl or any HTTP client (Postman, Python requests, Node stripe SDK).

a) Create the Product

curl https://api.stripe.com/v1/products \
  -u sk_test_YourSecretKey: \
  -d name="AI Prompt Engineering Checklist" \
  -d description="A concise 2‑page PDF checklist for prompt engineers."
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Response (excerpt) → note the id (e.g., prod_ABC123).

b) Create a Price ($5.00)

curl https://api.stripe.com/v1/prices \
  -u sk_test_YourSecretKey: \
  -d unit_amount=500 \
  -d currency=usd \
  -d recurring[interval]=one_time \
  -d product=prod_ABC123
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Save the returned price ID (e.g., price_1Hh2XYZ).

c) Create a Checkout Session (one‑time purchase)

curl https://api.stripe.com/v1/checkout/sessions \
  -u sk_test_YourSecretKey: \
  -d payment_method_types[]=card \
  -d line_items[0][price]=price_1Hh2XYZ \
  -d line_items[0][quantity]=1 \
  -d mode=payment \
  -d success_url="https://yourdomain.com/thanks?session_id={CHECKOUT_SESSION_ID}" \
  -d cancel_url="https://yourdomain.com/cancel"
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Result: url field → your Checkout URL. Copy it; you’ll use it in the YouTube description and Dev.to article.


3️⃣ YouTube Description Template

How to apply: Open the YouTube Studio edit page for the video “Prompt Engineering Tips” → paste the text below into the Description field → click Save.

🚀 Unlock the ultimate Prompt Engineering Checklist! 🚀

Grab the 2‑page PDF that covers:
✅ Proven prompt structure
✅ Token budgeting tricks
✅ Safety & moderation tips

👉 Get it now for just **$5**: <INSERT_CHECKOUT_URL_HERE>

✅ Bonus: Purchase the checklist and receive a **10 % discount** on any future AI‑consulting session with me. (Use code **PROMPT10** at checkout.)

💡 Want more deep‑dive guides? Subscribe & hit the bell so you never miss an update!

#PromptEngineering #AI #Productivity #MachineLearning
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Replace <INSERT_CHECKOUT_URL_HERE> with the URL you obtained in step 2c.


4️⃣ Dev.to Article (≈ 500 words)

Title:

🛠️ Boost Your AI Prompt Game: The $5 Prompt Engineering Checklist That Saves Hours

Tags: ai, prompt-engineering, productivity, devops

Markdown (copy‑paste ready):


markdown
---
title: "🛠️ Boost Your AI Prompt Game: The $5 Prompt Engineering Checklist That Saves Hours"
published: true
description: "A concise 2‑page PDF that walks you through prompt structure, token budgeting, and safety—perfect for freelancers, SaaS founders, and anyone building with LLMs."
cover_image: "https://images.unsplash.com/photo-1522075469751-3a6694fb2f61?fit=crop&w=1200&q=80"
tags: [ai, prompt-engineering, productivity, devops]
---

If you’ve ever spent **minutes** tweaking a prompt only to get a “hallucinated” answer, you know how frustrating it can be. The good news? A well‑crafted prompt can be built in seconds—if you follow a proven structure.

### 🎯 Why a Checklist?

* **Consistency:** Teams can adopt the same format, reducing back‑and‑forth.
* **Speed:** Less trial‑and‑error means faster time‑to‑value.
* **Safety:** Built‑in moderation steps keep your outputs clean.

I’ve distilled the most battle‑tested items into a **2‑page PDF** that you can print, bookmark, or embed into your internal docs.

---

## What’s Inside?

### 1️⃣ Prompt Structure
- Goal definition, role prompt, context block, task instruction, output format, optional examples, constraints.

### 2️⃣ Token Budgeting
- Quick token‑count formula, max‑token setting, temperature/top‑p guidelines, stop‑sequence usage.

### 3️⃣ Safety Tips
- OpenAI moderation endpoint, custom content filters, rate‑limit
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