Workflows

Custom GPTs

Package a workflow into a reusable custom GPT.

Knowledge cards
Knowledge card
Attach Knowledge Files for Grounded Answers
A grounding step for Custom GPTs: upload the authoritative documents the GPT should answer from — policies, specs, FAQs — and instruct it to rely on them rather than its general knowledge.
L3 · Workflows
Best practice
Test a Custom GPT Against Its Failure Cases
A hardening step before you rely on or share a Custom GPT: deliberately test it against its likely failure cases — ambiguous, out-of-scope, and adversarial inputs — and tighten the instructions where it breaks.
L3 · Workflows
Workflow
Turn a Repeated Prompt Into a Custom GPT
A workflow: when you find yourself pasting the same long prompt repeatedly, package it as a custom GPT with fixed instructions, an opening behaviour, and optional reference files.
L3 · Workflows
Best practice
Write Custom GPT Instructions Like an Onboarding Doc
A framing for building a Custom GPT: write its instructions the way you'd onboard a new hire — its role, the process for handling a request, and its boundaries — not as a one-line persona.
L3 · Workflows
Building custom GPTs

Turn a repeated prompt into a tool

A custom GPT is a saved version of ChatGPT with its own instructions, tone, and reference files, opened and run in one click. The moment to build one is when you notice you have pasted the same prompt several times — a report drafter, a support-reply writer, an onboarding assistant. Packaging it means the work runs the same way every time and anyone can use it without knowing the prompt behind it. It is the cleanest way to make a proven prompt reusable and shareable.

Write the instructions like a job description

The quality of a custom GPT lives in its instructions. Treat them like briefing a new hire: what the GPT is for, how it should respond, what to always do and never do, and any reference material it should lean on. Test it on real cases and tighten the instructions where it drifts. Attach the documents it needs so it answers from your material rather than general knowledge. A well-specified GPT is a small, dependable tool; a vague one is just the chat box with extra steps.

Frequently asked
What is a custom GPT?

A saved version of ChatGPT with its own instructions, tone, and reference files that you open and run in one click. It turns a repeated prompt into a reusable, shareable tool.

When should I build a custom GPT?

When you have pasted the same prompt several times for a recurring job. Packaging it makes the work consistent and lets others use it without knowing the underlying prompt.

How do I make a custom GPT that works well?

Write its instructions like a job description — purpose, response style, always/never rules — attach the reference material it needs, and test it on real cases, tightening where it drifts.