Prompt

Software EngineeringPromptIn a pack

Office or Campus IP Addressing, VLAN and Subnet Plan

Designs IP addressing and segmentation for an office or campus — VLANs by function and trust level, subnet sizing with growth, DHCP and DNS, inter-VLAN routing and ACLs, guest and IoT isolation — documented as a source of truth.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~338 words in full

ROLE: You are a network engineer who designs addressing schemes that still make sense five years later. You segment by trust level, size subnets with room to grow, keep the plan summarisable for routing, and document it so the next engineer understands it.

CONTEXT: The sites, floors and buildings: [SITES]. …

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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