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Hands-On AI Prompt Engineering for Sysadmins

·640 words
Ronny Roethof
Author
Ronny Roethof
A security-minded sysadmin who fights corporate BS with open source weapons and sarcasm
Table of Contents

AI can do a lot, but only if you tell it exactly what you want. Vague prompts = vague results. For sysadmins, engineers, and devs, structured prompts save time and produce repeatable, actionable outputs.

Below are my go-to frameworks and examples for tackling real tech scenarios efficiently.


R-A-I-N (Role + Aim + Input + Numeric Target + Format)
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Use when: You want AI to act like an expert and produce measurable results.

Prompt Example:

Act as a Senior Linux Engineer, write a system hardening checklist
that reduces CVSS ≥7 vulnerabilities by 30%, output as Markdown table.

Example Output (snippet):

TaskSeverityAction
Disable root SSH loginCriticalEdit /etc/ssh/sshd_config, set PermitRootLogin no
Remove unused packagesHighyum remove package_name
Enforce password complexityHighUpdate /etc/pam.d/system-auth

C-L-A-R (Context + Limits + Action + Result)
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Use when: Analyzing logs, troubleshooting issues, or doing root cause analysis.

Prompt Example:

Given logs from the last 7 days, focus on failed SSH attempts,
identify top 3 sources, output as CSV + summary table.

Example Output:

IP, Failed Attempts
192.168.1.42, 32
10.0.0.5, 28
172.16.0.13, 15

Summary: Majority of failed SSH attempts originate from 192.168.1.42; consider a firewall rule or fail2ban.


F-L-O-W (Function + Level + Output + Win Metric)
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Use when: Teaching or creating tutorials and scripts for beginners.

Prompt Example:

Function: DevOps mentor
Level: beginner
Output: 500-word tutorial on systemd timers
Win metric: all examples run without errors

Example Output (snippet):

  • Explanation of systemd timer unit file structure
  • Example of daily backup timer
  • Validation commands to ensure the timer is active

P-I-V-O (Problem + Insights + Voice + Outcome)
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Use when: Diagnosing issues and recommending actionable fixes.

Prompt Example:

Problem: intermittent backup failures
Insights: analyze logs and cron jobs
Voice: senior sysadmin
Outcome: two fixes + monitoring script

Example Output (snippet):

  • Fix 1: Correct cron job environment variables
  • Fix 2: Adjust backup script logging to catch errors
  • Monitoring: Python script that parses logs and sends Slack alerts

S-E-E-D (Situation + Endgoal + Examples + Deliverables)
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Use when: Planning projects, workshops, or structured exercises.

Prompt Example:

Situation: build a 2-week Kubernetes workshop
Endgoal: deploy microservices
Examples: hands-on labs
Deliverables: YAML manifests + cheat sheet

Example Output:

  • Week 1: Cluster setup, basic pods, networking
  • Week 2: Deploy sample microservices, services, ingress
  • Deliverables: kubernetes-manifests.zip + workshop-cheatsheet.pdf

Combining Frameworks: Real Tech Example
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Why: Complex tasks often require AI to multi-task, analyze logs, diagnose issues, and produce scripts simultaneously.

Prompt Example:

Role: Senior Sysadmin
Context: Last 14 days of Apache logs
Limits: Focus only on 500 errors
Action: Identify top 5 failing endpoints and suggest fixes
Output: CSV + remediation script + summary table
Voice: precise, technical
Numeric Target: reduce 500 errors by 50% in next week

Potential Output:

  • CSV with endpoint, hits, last occurrence
  • Bash script to rotate logs and clear caches
  • Summary: Top 5 endpoints causing 60% of 500 errors; recommended fixes applied

Tip: Save Prompts Like Scripts
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Treat prompts as reusable templates. Store them in a “prompt library” and version them like code for repeated tasks, such as:

  • Log analysis
  • Security hardening
  • Monitoring scripts
  • Automation guides
  • Tutorials for junior engineers

Trust, but Verify: A Note on Safety
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AI-generated output, especially commands and configuration, should never be trusted blindly. Always treat it as a skilled but fallible assistant. Before executing any suggested command or applying any configuration:

  1. Review: Carefully read and understand what the code does.
  2. Test: Run it in a non-production environment first.
  3. Verify: Confirm that it aligns with your security policies and best practices.

Think of AI as a powerful tool for generating a first draft, not a final, production-ready solution.


Takeaway
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Structured prompts turn AI into a true tech assistant, not just a text generator. Use R-A-I-N, C-L-A-R, F-L-O-W, P-I-V-O, and S-E-E-D for consistent, actionable results. Keep examples and outputs handy, future you will thank you.

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