What GPTs Are
GPTs are purpose-built assistants that run on top of ChatGPT's models. They combine three things:
- Custom instructions — a preset system prompt that defines how the GPT behaves
- Enabled tools — web browsing, image generation, code execution, or custom APIs
- Knowledge files — uploaded documents the GPT can reference when answering
The result: a focused assistant that does not need you to explain context every time. A legal research GPT knows it is dealing with legal topics. A brand voice GPT knows your company's tone guidelines.
Over two million GPTs have been created. Most are free to use.
How to Find and Open a GPT
- Go to chat.openai.com and sign in
- Click Explore GPTs in the left sidebar (or go to chat.openai.com/gpts)
- Browse by category or use the search bar
- Click any GPT to open its detail page
- Click Start Chat to begin
The GPT opens like a regular chat window. Type your first message and the GPT responds according to its instructions.
The GPT Store: Categories Worth Exploring
- Writing — Copywriting, editing, tone adjustment, essay feedback
- Productivity — Summarizers, meeting note takers, email drafters
- Research & Analysis — Web research assistants, data interpreters
- Programming — Code review, debugging, language-specific tutors
- Education — Subject tutors, language learning, quiz generators
- Image Generation — Specialized DALL-E wrappers with style presets
Finding high-quality GPTs: Sort by number of conversations. A GPT with 500,000+ chats has been validated by a large user base. Read the description carefully — the best GPTs explain exactly what they do and do not do.
How to Pin Frequently Used GPTs
If you use a GPT regularly, pin it for quick access:
- Hover over the GPT in your sidebar or recent conversations
- Click the three-dot menu (⋯)
- Select Pin — it appears at the top of your sidebar permanently
You can also pin GPTs from the store page before starting a conversation.
How to Create Your Own GPT (Plus Required)
Step 1: Open the GPT Builder
Go to chat.openai.com/gpts → Create. You will see a split screen: the builder chat on the left, the preview on the right.
Step 2: Describe What You Want
In the builder chat, type what your GPT should do:
"Create a GPT that helps me write product descriptions for an e-commerce store selling handmade jewelry. It should ask for the product name, materials, and target customer before writing. Output should be 80–120 words, SEO-friendly, with no clichés."
The builder generates a name, profile image, and initial instructions automatically.
Step 3: Refine the Instructions
Switch to the Configure tab to see and edit the raw instructions. Review:
- Name and description — what shows up in the store and sidebar
- Instructions — the system prompt that defines behavior
- Conversation starters — suggested prompts shown on the GPT's opening screen
- Knowledge — upload files (PDFs, text) the GPT should reference
Step 4: Enable Tools
Choose which tools to give your GPT:
- Web Search — lets the GPT browse the internet
- DALL-E Image Generation — creates images on request
- Code Interpreter — runs Python code, analyzes files and data
Only enable tools your GPT actually needs — every additional tool increases the chance of the GPT going off-task.
Step 5: Set Visibility and Save
- Only me — private, only visible to your account
- Anyone with the link — unlisted, accessible via direct URL
- Everyone — published to the GPT Store
Click Save. Your GPT is live immediately.
Common Mistakes to Avoid
- Using a GPT for tasks outside its scope — A writing GPT will handle code worse than regular ChatGPT. Switch to the right tool for the task.
- Trusting GPT Store descriptions blindly — Anyone can publish a GPT. Test a few messages before relying on one for important work.
- Uploading sensitive documents to third-party GPTs — When you upload a file to a GPT you did not build, it may be processed by external APIs attached to that GPT. Only upload non-sensitive documents to untrusted GPTs.
- Building GPTs with vague instructions — "Be helpful and smart" produces a generic GPT indistinguishable from regular ChatGPT. Specific constraints ("always ask for the target audience before writing," "never use bullet points") produce meaningfully different behavior.
- Ignoring the conversation starters — These are the first things users see. Use them to show the GPT's range and guide users to its best use cases.
Troubleshooting GPT Issues
GPT gives wrong or irrelevant answers
If a GPT consistently gives poor answers:
- Try the same question in regular ChatGPT to compare — if regular ChatGPT answers well, the GPT's instructions are the problem, not the model
- Switch to a better-rated GPT for your task (sort by conversation count in the store)
- If you own the GPT, edit the instructions in the Configure tab to be more specific
GPT is not remembering context from earlier in the conversation
GPTs do not have cross-conversation memory unless their creator specifically built it using the memory API or persistent storage actions. Each new conversation with a GPT starts fresh. To work around this, paste relevant context at the start of each conversation, or look for GPTs that advertise memory capabilities.
GPT Store is not accessible
The GPT Store is not available in all regions. If you cannot access chat.openai.com/gpts, your region may not have Store access yet. Check OpenAI's regional availability pages for updates. A Plus subscription is required to create GPTs but not to use publicly available ones in supported regions.
Creating a GPT: the builder is not working
If the GPT Builder does not respond or saves incorrectly:
- Clear your browser cache and try in a fresh incognito window
- Check that your Plus subscription is active — building GPTs requires Plus
- Try the Configure tab directly instead of using the conversational builder interface
Why This Happens
GPTs use the same GPT-4o model as regular ChatGPT but with a preset system prompt that runs before every conversation. The quality of a GPT's output is directly determined by how well its system prompt is written. Over 2 million GPTs have been created, which means quality varies enormously — from highly specialized tools with precise instructions to generic wrappers with minimal prompts. When a GPT underperforms, the cause is almost always the system prompt, not the underlying model.
Common Mistakes to Avoid
- Using a GPT for tasks outside its defined scope — A writing GPT handles code worse than regular ChatGPT; use the right tool for each task
- Trusting GPT Store descriptions without testing — Anyone can publish a GPT; test with 2–3 real queries before relying on one for important work
- Uploading sensitive documents to third-party GPTs — Files uploaded to GPTs you did not build may be processed by external APIs; only upload non-sensitive content
- Building GPTs with vague instructions — Specific constraints like "always ask for the target audience before writing" produce meaningfully different behavior than generic instructions