πŸ”₯ Launch pricing β€” $27 Β Β·Β  Less than the cost of lunch Β Β·Β  Lifetime updates included

FIELD MANUAL Β· NOT A THEORY BOOK

Stop Getting
Textbook Answers
from AI.

Your peers in other fields are 10Γ— faster with the same tools. The difference isn't the model. It's the prompt.

analyst_prompt.txt

❌ BAD: "Analyze this alert for me"

β†’ Generic. Hallucinated MITRE tags. Useless.

βœ“ GOOD: Role + context + framework + format + constraints

β†’ ATT&CK-mapped triage in <2 min. Ticket-ready. β–‹

14-day refund if the first template doesn't save you time.

AI Prompting Field Manual
$27
vs $300+ course
10 Templates
6
Prompting techniques
10
Production templates
∞
Lifetime updates
2 min
ATT&CK-mapped triage

THE PROBLEM

You've tried using AI for security work.
The answers keep coming back generic.

You spend more time re-prompting and fact-checking than you save. Your peers in marketing and product are 10Γ— faster with the same tools.

WITHOUT THIS

  • βœ— Generic, hedged responses with no MITRE context
  • βœ— Hallucinated CVE scores you have to verify manually
  • βœ— Exec briefings that need 3 rewrites before they're usable
  • βœ— Re-prompting loop that eats the time savings

WITH THIS

  • βœ“ ATT&CK-mapped triage output in under 2 minutes
  • βœ“ Exec-ready briefings first draft, every time
  • βœ“ Threat models that produce a real prioritized mitigation list
  • βœ“ Templates you run on live tickets β€” same day

WHAT'S INSIDE

6 Techniques. 10 Templates.
Zero theory fluff.

🧱

The Security Context Stack

A 7-layer framework that fixes 80% of generic LLM output for security tasks. Every layer explained with a before/after example a real analyst would run. MITRE ATT&CK, STRIDE, CVSS, NIST 800-53 baked in by design.

Core framework
⚑

6 Prompting Techniques

Rebuilt specifically for security work β€” not generic "be specific" advice. Each includes a real analyst example and the before/after output.

🧹

Prompt Hygiene Rules

What you should never paste into a public LLM and safer alternatives. Enterprise-tier vs. local model guidance for sensitive data.

πŸ’‰

Defending Against Prompt Injection

How to identify and defend against prompt injection in AI-assisted workflows. Increasingly critical as AI enters the SOC.

πŸ”§

The "Full Stack" Skeleton

A proven skeleton for building your own templates β€” so you're not starting from scratch every time a new use case comes up.

10 PRODUCTION-READY TEMPLATES

Copy. Paste. Run on a live ticket.

Every template is tested against Claude and GPT-class models. Every output format is ticket-ready, exec-ready, or pipeline-ready.

🚨
SOC Alert Triage β€” ATT&CK mapping + next-step queries in <2 min
🎣
Phishing Analysis β€” IOC extraction, header analysis, verdict
πŸ”
Vulnerability Triage β€” CVSS-contextualized prioritization, patch guidance
πŸ”₯
IR Initial Assessment β€” Scope, timeline, containment options in one pass
πŸ—ΊοΈ
Threat Modeling (STRIDE) β€” Prioritized mitigation list, not vague concerns
πŸ“‹
Detection Rule Review β€” Logic gaps, coverage gaps, false-positive tuning
πŸ“Š
Executive Briefing β€” Non-technical, risk-framed, decision-oriented
πŸ“
Log Analysis β€” Pattern identification, anomaly framing, next queries
🎭
Tabletop Exercise Design β€” Scenario construction with inject sequencing
πŸ’»
Code Review (Security Lens) β€” Vuln identification, OWASP framing, severity triage

Who This Is For

βœ“ Built for...

  • βœ“ SOC analysts (T1–T3) tired of generic alert classifications
  • βœ“ Detection engineers who want sharper rule review feedback
  • βœ“ IR responders compressing assessment and comms time
  • βœ“ Vulnerability managers buried under CVE queues
  • βœ“ GRC and risk professionals translating tech to leadership
  • βœ“ CISOs coaching their team into better AI usage

βœ— Not for...

  • βœ— People looking for AI hype or "prompting will replace your job"
  • βœ— Anyone needing vendor-specific tool docs (this is LLM-agnostic)

Model-agnostic by design

Works with Claude, ChatGPT, Gemini, Copilot, and any LLM you're running internally.

PRICING

Less than the cost of lunch. Permanently useful.

$27

One-time. Instant delivery. Lifetime updates.

Get Instant Access β€” $27 β†’
  • βœ“ 6 prompting techniques for security work
  • βœ“ 10 copy-paste production templates
  • βœ“ Security Context Stack (7-layer framework)
  • βœ“ Prompt hygiene rules for analysts
  • βœ“ Prompt injection defense guide
  • βœ“ Full Stack skeleton for building your own
  • βœ“ Lifetime updates as new templates added

14-day refund guarantee β€” if the first template you try doesn't save you time, email me and I'll refund you. No questions asked.

A one-day prompt engineering course costs $300+. A SANS class is $8K. This is the security-specific subset of that knowledge, in a format you can use today, for less than lunch.

FAQ

Questions

Yes. Techniques are model-agnostic by design. Templates have been tested against Claude and GPT-class models. Use whatever your org has deployed.

The templates won't β€” but how you use them might. The Prompt Hygiene section covers exactly what to sanitize, when to use enterprise-tier vs. local models, and how to avoid exposing sensitive data.

First pass: 15 minutes. Real value starts the first time you use a template on a live ticket β€” usually the same day you buy it. Keep the manual open in a tab and reference it while working.

Yes. Lifetime updates. New templates and techniques are added as the field evolves. Buy once, stay current.

If the first template you try doesn't save you time, email within 14 days and you'll get a full refund. No questions asked. That's how confident this is.

⚑

The model isn't the problem.
The prompt is.

Fix it today. $27, instant access, 14-day refund if it doesn't work. Use a template on a live ticket today β€” that's the test.

Get Instant Access β€” $27 β†’

Secure checkout via Gumroad Β· Instant delivery Β· Lifetime updates

Get Instant Access β€” $27