Using custom GPTs
Source: OpenAI Blog
Some versions of ChatGPT let you build custom GPTs—purpose‑built versions of ChatGPT designed for a specific task or workflow. Instead of starting from a blank chat each time, a custom GPT can follow your preferred format, use your team’s context, and produce more consistent outputs—whether you’re drafting content, analyzing recurring datasets, generating visuals, or answering common questions.
Custom GPTs are powered by tailored instructions that define how the GPT behaves. You can also add knowledge (files you upload) and enable tools (such as web search, data analysis, or connected actions). The result: less re‑explaining, less copy/pasting, and fewer “wait—what’s the context again?” moments.
When to Use a Custom GPT
- Automating repeat tasks – Save a prompt you use often and turn it into a reliable workflow.
- Adding tools or integrations – Pull in more context, analyze files, or use connected apps for deeper answers.
- Maintaining consistent context – Apply the same structure, tone, or instructions without restating them.
If you find yourself reusing the same prompt, re‑uploading the same files, or rewriting the same instructions for teammates, it may be time to build a custom GPT.
Example GPTs & Use Cases
Pre‑built Templates
- ChatGPT Use Cases for Work – Brainstorm role‑specific ways to apply ChatGPT.
- Professional Writing Coach – Polish emails, reports, and presentations.
- Data Analyst – Summarize, chart, and explain uploaded data.
- Coding Assistant – Generate, review, and debug code snippets.
- Visual Designer – Turn text prompts into on‑brand images.
Common Scenarios
- Knowledge Assistant / FAQ Bot – Answers questions from documents or internal resources.
- Writing & Editing Assistant – Rewrites, polishes, or formats text for tone, clarity, and style.
- Learning Companion / Tutor – Explains concepts, quizzes users, and generates study materials.
- Project / Workflow Assistant – Summarizes meetings, tracks progress, and drafts status updates.
- Data & Insights Assistant – Analyzes data, summarizes trends, and generates visual or narrative reports.
Building a Custom GPT
- Open GPTs from the ChatGPT sidebar and click Create to launch the GPT builder.
- You’ll see two tabs: Create and Configure.
Create Tab
Use natural‑language prompts to give the builder a starting point, e.g.:
- “Make a creative who helps generate visuals for new products.”
- “Make a software engineer who helps format my code.”
Configure Tab
Fill out the required fields:
| Field | Guidance |
|---|---|
| Name | Choose a clear, descriptive name. |
| Description | Explain what the GPT does and when to use it. |
| Instructions | Define behavior, tone, functions, and any prohibitions. |
| Conversation starters (Optional) | Provide example prompts to guide users. |
| Knowledge | Upload relevant documents for context. |
| Capabilities | Enable image generation, data analysis, web search, canvas, etc. |
| Custom actions | Set up third‑party API calls or external processes. |
Writing effective instructions is often the hardest part. A quick tip: ask ChatGPT to draft an initial version, then refine it with real examples.
Evaluating Your GPT
Before sharing, test the GPT with a simple evaluation:
- Write 10–15 questions that reflect the tasks it should handle.
- Include the correct answers for each question.
- Run the GPT against these prompts and review its responses.
- Adjust instructions or knowledge files as needed.
Tips & Best Practices
- After making changes, click Update in the top right to save them.
- Start with a workflow you already repeat; iterate quickly with small refinements.
- Once the GPT performs reliably, share it with your team so everyone benefits from consistent, high‑quality output.