Build specialized AI assistants tailored to your specific needs.
What Are Custom Agents?
Think of a custom agent as your personal AI specialist. Instead of starting every conversation from scratch and re-explaining what you need, an agent comes pre-loaded with specific instructions, personality, and expertise. It's like having a team of AI assistants — each one trained for a different job.
When you chat with Gab AI normally, you're talking to a general-purpose assistant. It can do almost anything, but it doesn't know your preferences, your writing style, or the specific way you like answers formatted. Custom agents solve this by letting you define all of that upfront.
Agents vs. regular chats
A regular chat starts with a blank slate every time. A custom agent starts with your pre-defined instructions already in place — so you skip the setup and get straight to work.
How to Create a Custom Agent
Creating an agent in Gab AI takes just a few steps. You'll give it a name, write system instructions that define its behavior, and optionally select a preferred model.
Popular Agent Use Cases
The possibilities are nearly endless, but here are some of the most popular types of agents users create:
Tips for Writing Great System Instructions
The quality of your agent depends entirely on how well you write its system instructions. Here are the key principles:
Define the role clearly — 'You are a [specific role] who specializes in [domain]'
Set the tone and style — formal, casual, technical, encouraging, concise, detailed
Include constraints — word limits, reading level, topics to avoid, languages to use
Add examples of ideal responses when possible — show, don't just tell
Mention what NOT to do — 'Never give medical advice' or 'Don't use slang'
Start simple, then iterate
Don't try to write the perfect system instruction on your first attempt. Start with 2-3 sentences describing the core behavior, test it, and then add more detail based on what's missing or inconsistent in the responses.
Sharing Agents with Others
Once you've built an agent that works well, you can share it with friends, teammates, or the broader Gab AI community. Shared agents let others benefit from your carefully crafted system instructions without having to build their own from scratch.
This is especially powerful for teams. Imagine a company where the marketing team shares a "Brand Voice" agent, the engineering team shares a "Code Reviewer" agent, and the support team shares a "Customer Response" agent — everyone stays consistent without extra effort.
Agents vs. regular chats
A regular chat starts with a blank slate every time. A custom agent starts with your pre-defined instructions already in place — so you skip the setup and get straight to work.
Choose a Name and Avatar — Pick a descriptive name that tells you at a glance what the agent does. Something like "Blog Editor," "Python Tutor," or "Email Drafter" makes it easy to find the right agent when you need it.
Write System Instructions — This is the most important part. System instructions tell the agent who it is, how it should behave, and what rules to follow. Think of it as the agent's job description. Be specific about tone, format, expertise area, and any constraints.
Select a Model (Optional) — Different AI models have different strengths. You can let Gab AI choose automatically, or pin a specific model — for example, choosing a model that excels at code for your programming assistant, or one that's great at creative writing for your content agent.
Test and Refine — Send a few test messages to your new agent. If the responses aren't quite right, go back and adjust the system instructions. Small tweaks to wording can make a big difference in output quality.
Writing Assistant — Set up an agent with your brand voice guidelines, preferred tone, and formatting rules. Every piece of content it helps you create will be consistent with your style — no need to re-explain your preferences each time.
Coding Helper — Configure an agent that knows your tech stack, coding conventions, and preferred libraries. It can generate code, review pull requests, explain errors, and suggest refactors — all following your team's standards.
Study Tutor — Create an agent that teaches using the Socratic method — asking guiding questions instead of giving direct answers. Specify the subject area and difficulty level, and you have a personalized tutor available 24/7.
Language Translator — Build a translator agent that understands your specific context — whether that's business correspondence, casual conversation, or technical documentation. It can maintain consistent terminology across translations.
Start simple, then iterate
Don't try to write the perfect system instruction on your first attempt. Start with 2-3 sentences describing the core behavior, test it, and then add more detail based on what's missing or inconsistent in the responses.
Custom agents are pre-configured AI assistants with specific instructions, personality, and expertise — they save you from repeating setup every conversation.
The system instruction is the most important part of an agent. Be specific about role, tone, format, and constraints.
Start with simple instructions and iterate based on the agent's responses. Small wording changes can dramatically improve output quality.
Share agents with teammates or the community to maintain consistency and save others the setup work.