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Custom prompt shortcut / Software Development

/backend — ChatGPT Prompt Guide

Explore the /backend custom ChatGPT prompt shortcut with a practical template, examples, and review steps. Learn how to refine outputs for your workflow.

What does /backend do?

Purpose: Design a collision-safe coworking-room reservation API.

This is a custom prompt convention, not a built-in or official ChatGPT slash command. Entering the slash text alone does not guarantee that ChatGPT will invoke a special tool. Use the complete structured prompt below or configure your own app to interpret this shortcut.

Key decision for this workflow

Reject end_at <= start_at; normalize timestamps to UTC; enforce room-time overlap constraints within a transaction.

Copy-ready task brief

/backend Objective: Design a collision-safe coworking-room reservation API. Inputs: room_id, start_at, end_at, timezone, and representative overlapping requests. Deliverable: A validation contract, persistence model, and concurrency-safe reservation flow.

Reusable prompt template

/backend Objective: Design a collision-safe coworking-room reservation API. Available materials: room_id, start_at, end_at, timezone, and representative overlapping requests. Required output: A validation contract, persistence model, and concurrency-safe reservation flow. Acceptance test: Reject end_at <= start_at; normalize timestamps to UTC; enforce room-time overlap constraints within a transaction. Boundary: A frontend availability check alone does not prevent double booking; test two simultaneous reservations. Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: room_id, start_at, end_at, timezone, and representative overlapping requests.
  2. Run /backend with the copy-ready task brief above.
  3. Request the concrete output: A validation contract, persistence model, and concurrency-safe reservation flow.
  4. Check the result: Reject end_at <= start_at; normalize timestamps to UTC; enforce room-time overlap constraints within a transaction.

Quality checks and limitations

Acceptance criteria: Reject end_at <= start_at; normalize timestamps to UTC; enforce room-time overlap constraints within a transaction. Limitation: A frontend availability check alone does not prevent double booking; test two simultaneous reservations.

Related tools and learning

Continue with the 35 prompt generators, the technical AI Guides, and the Image Guides for deeper examples.

Worked example: Design a reservation API for a coworking room

Illustrative output: POST /reservations accepts room_id, start_at and end_at; return 409 on overlap and 422 for invalid ranges.

Review and limitations

Specify timezone handling, authorization and concurrency tests.

Field workflow: inputs, decisions, and validation

When to use this shortcut: Design a collision-safe coworking-room reservation API.

What to provide: room_id, start_at, end_at, timezone, and representative overlapping requests.

What to request: A validation contract, persistence model, and concurrency-safe reservation flow.

Practical method: Reject end_at <= start_at; normalize timestamps to UTC; enforce room-time overlap constraints within a transaction.

Important limitation: A frontend availability check alone does not prevent double booking; test two simultaneous reservations.

Frequently asked questions

Is /backend an official ChatGPT command? No. It is a reusable custom shorthand from this catalog. Does it work without a plugin? You can copy the full prompt into an assistant; automatic slash-command routing requires application logic. Can the output be trusted without review? No. Review accuracy, safety, and suitability before use.