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Jolene Langlinais
Jolene Langlinais

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ChatGPT Prompt Framework

This prompt engineering framework for ChatGPT acts as a guide for providing a structured set of instructions to the AI model in order to receive fuller, more accurate, and more desirable results.

I call this SPICIER because it is the best anagram I could think of, but it doesn't perfectly match the order of categories.

S.P.I.C.I.E.R.

ℹ️ This, especially Input, can and should be written for a computer, not a human.

  1. Role: Give ChatGPT a persona to give a response through the lens of
  2. Instruction: What you want to get out of ChatGPT
  3. Context: Help ChatGPT understand the context
  4. Input: The input data you want ChatGPT to respond to
  5. Source: Reference websites to help shape the input to results
  6. Exclusions: Further define parameters by omitting undesired results
  7. Parameters: Specify specific options or constraints, i.e. the tone of voice, formatting, length

Example

ROLE:

Act as a software engineer expert in the following:

  • TypeScript
  • Node.js
  • Koa
  • Prisma
  • Zod

INSTRUCTIONS:

  • I will give you my code for a specific Koa middleware and the related Prisma schema
  • You will change the code to do the following:
    • Check if something123 exists.
    • If it does, send a patch to X API and ignore both Prisma and the Airtable response
    • If it does not, send a post to Y API and create the record in Prisma

CONTEXT:

  • The submit Koa middleware to handles form submissions
  • The following are arbitrary unique identifier variables:
    • something123
    • something456

CODE:

INSERT CODE

EXCLUSIONS:

  • Assume my web application code is working and is setup correctly

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