What's the Difference Between /chat and a Custom Agent?

Last updated: April 7, 2026

/chat is your personal general-purpose assistant that automatically discovers every integration you've connected. A Custom Agent is one you build yourself — with a specific system prompt, a hand-picked set of tools, and the ability to be shared, deployed to Slack, triggered by events, and accessed via API.


The Short Version

Both /chat and Custom Agents are AI agents powered by the same underlying engine. Think of /chat as your ready-to-go personal assistant and a Custom Agent as a purpose-built specialist you design.

Capability

/chat (General Agent)

Custom Agent

Custom system prompt

No — uses a built-in prompt

Yes — fully configurable

Tools & integrations

Auto-discovers all your connected integrations here.

You pick exactly which tools it has

Workflows as tools

No

Yes — attach any saved workflow

Self-modification

No

Yes — can edit its own instructions

Share with others

No — it's personal to you

Yes — share with anyone via the Share button (as Editor, Viewer, or Use Only)

Deploy to Slack

No

Yes

Event-based triggers

Can create triggers in conversation

Triggers configurable in agent settings

API access

No

Yes

Web search

Yes

Yes (when enabled)

Image generation

Yes

Yes (when enabled)

Code sandbox

Yes

Yes (when enabled)

File uploads

Yes

Yes

Skills

Loads all your personal skills

Attach specific skills


When to Use /chat

Use /chat when you want a quick, personal assistant that can reach all your connected apps without any setup. Open it, ask a question, and it figures out which tools to use.

  • Quick one-off tasks: "Summarize my last 5 emails" or "What's on my calendar tomorrow?"

  • Exploring what Gumloop can do with your connected integrations

  • Ad-hoc work where you don't need a repeatable agent

/chat automatically sees every integration you've connected in Profile → Credentials — no configuration needed.

When to Build a Custom Agent

Build a Custom Agent when you need any of the following:

  • A specific personality or instructions — Custom system prompts let you control exactly how the agent behaves, what tone it uses, and what rules it follows.

  • A curated toolset — Instead of giving the agent access to everything, you pick only the tools it needs. This makes it more focused and less likely to take unexpected actions.

  • Workflows as tools — Attach saved workflows so the agent can run them as part of a conversation. The General Agent cannot do this.

  • Sharing or deployment — Share the agent with teammates, deploy it to a Slack channel, or embed it for external users.

  • Self-modification — Let the agent update its own instructions over time as it learns your preferences.

  • Model selection — Choose a specific AI model instead of the platform default.

To create one, go to Agents and click New Agent.

How Tools Work Differently

This is the biggest practical difference between the two:

/chat — Automatic Discovery

The General Agent uses dynamic tool discovery. When you start a conversation, it scans your connected integrations (Gumloop built-in integrations, Gumstack servers, and custom MCP servers) and makes all of them available. You don't configure anything — if you've connected Google Sheets, it can use Google Sheets.

Custom Agent — Explicit Configuration

A Custom Agent only has the tools you explicitly add in its Tools panel. This includes:

  • Gumloop integrations — Built-in integrations like Google Sheets, Slack, Gmail, etc.

  • Custom MCP servers — Your own or third-party MCP servers

  • Gumstack servers — Servers from the Gumloop marketplace

  • Workflows — Saved workflows the agent can execute

  • Built-in tools — Web search, image generation, and the code sandbox

This explicit approach is better for production agents because you control exactly what the agent can and can't do.

Skills Behavior

Both agent types support skills, but they discover them differently:

  • /chat automatically loads all your personal and project-level skills.

  • Custom Agents use only the skills you attach to them in the agent's settings.

Learn more about skills in the Skills documentation.

Still Need Help?

If you're not sure which approach fits your use case, reach out to support at support@gumloop.com.

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