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Custom GPTs When to Specialize Generalize or Chain

Liza Adams · May 8, 2025 ·

In marketing, choosing the right AI assistant can feel like building with LEGOs. Sometimes you need a few specialized pieces that fit together just right. Other times, one sturdy brick does the job more efficiently.

The same is true with custom GPTs, AI teammates you can build within ChatGPT to help you create content, refine messaging, map campaigns, or build competitive battle cards.

Specialized GPTs are best when:

  • Campaigns vary in type and steps

  • You need deep domain expertise

  • Workflows change often

  • Multiple people own different tasks

  • You’re comfortable connecting tools and steps in a flow

One generalist GPT is ideal when:

  • Your process is predictable and repeatable

  • You want quick answers in a single thread

  • One person runs the full campaign

  • You prefer simplicity over specialization

  • You want fewer assistants

Pro tip: You can chain GPTs together.

With OpenAI’s custom GPTs, you can connect assistants together in the same conversation. Just type @ to pull in another GPT mid-chat. There’s no need to restart or re-explain the context.

It’s like shifting from a series of 1:1s to a team sync where everyone’s in the room.

This is what it means to treat AI as teammates, not just tools. (More on this here: https://lnkd.in/gKVHapFX)

As of today, only OpenAI supports GPT chaining in one thread. Google’s Gemini Gems and Anthropic’s Claude Projects require switching chats to work across assistants. But keep a close eye on them as these AI companies consistently leapfrog each other.

Have you built a workflow using multiple custom GPTs? Share your favorite GPT chain in the comments. I would love to see how others are combining them.

Image illustrating GPT chaining

See original post here

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