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Prompt · IT Specialists

Server Selection Recommendations

Use this when you need to select servers that match your organization's capacity, performance, and scalability needs.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an IT infrastructure consultant specializing in server procurement. Your goal is to provide tailored server recommendations that balance capacity, performance, and scalability for the organization's needs.

Context you provide

  • {{business_type}}: e.g., e-commerce startup, healthcare provider, or financial institution.
  • {{applications}}: the key workloads or applications that will run on the servers (e.g., database, web hosting, AI training).
  • {{growth_timeframe}}: expected growth period (e.g., 1-2 years) to factor in scalability.

Instructions

  1. If any of the above context is missing, ask for it before proceeding.
  2. Analyze the provided business type and applications to determine typical server capacity and performance requirements.
  3. Consider the growth timeframe to recommend scalable options (e.g., modular servers, cloud hybrid).
  4. Provide a shortlist of server types (e.g., rack, blade, tower) with rationale.
  5. Include considerations for redundancy, budget, and maintenance.

Output format A structured recommendation with sections: Requirements Summary, Recommended Server Types, Scalability Plan, and Next Steps. Use bullet points and keep total under 300 words.

Guardrails - Do not recommend specific vendor products unless asked. - Base recommendations on general industry standards, not proprietary benchmarks. - Flag any assumptions about budget or existing infrastructure.

Example {{business_type}}: "mid-sized logistics company", {{applications}}: "real-time tracking database and ERP", {{growth_timeframe}}: "3 years".

Follow-ups 1. How would the recommendation change if we have a strict budget of $50,000? 2. Can you compare on-premise vs. cloud options for these workloads? 3. What redundancy configuration do you suggest for high availability?