What custom GPTs are, and why we build inside ChatGPT instead of a new app

A custom GPT is OpenAI's way of building a version of ChatGPT that already knows your business: custom instructions, uploaded reference files, and optional actions that connect to other systems, all wrapped into one assistant your team opens from inside ChatGPT itself. No separate login, no separate app. It behaves like a new employee who already read every document you'd otherwise have to re-explain in every chat.

What makes a custom GPT different from just asking ChatGPT well

Anyone can write a good prompt. Few people will write the same good prompt the same way twice, especially across a whole team. A custom GPT removes that variance: the instructions, the reference material, and the guardrails are baked in once, and every person who opens it gets the same grounded behavior, whether it's their first day or their five-hundredth.

Why we build custom GPTs instead of a custom app

We could wrap almost any workflow in its own web app with its own login. We don't default to that when a custom GPT covers the same ground, because of where your team is already working. If your reps already open ChatGPT to draft emails or prep for calls, that's where the automation should live too. The moment we ask someone to learn a new interface, remember a new password, or adopt a tool we designed instead of one they already chose, usage drops off fast. A custom GPT skips that entirely: we build it once, your team opens the same ChatGPT they already use, and the new capability is just there. No UI/UX to design, no app to roll out, no training session required. For the broader version of this argument, see what we consider a real automation versus a demo.

What a custom GPT can actually do for a B2B team

A call-prep GPT that pulls together what's known about a prospect and drafts talking points in your team's voice. A proposal-writer GPT trained on your past case studies and pricing structure, so every draft starts from your actual track record instead of a blank page. A support-FAQ GPT grounded only in your real documentation, so it never invents an answer your product doesn't support.

How we build one

We start with a scoping call to pin down the exact process and the reference material the GPT needs, including the parts of your playbook that live in someone's head and nowhere else. We build it, test it with your team, and refine it against real use before calling it finished. Your first one is free, the same as any other automation we build, so you can see it working before you commit to anything. Beyond that, builds are a flat $750 per automation, with TEG Membership from $149/mo to $599/mo keeping your whole portfolio running.

Frequently asked questions

Do we need a ChatGPT Plus, Team, or Enterprise plan to use a custom GPT?

Custom GPTs require a paid ChatGPT plan. If your team is on the free tier, that's part of what we scope on the first call, including which plan tier actually fits your headcount.

Is a custom GPT the same as a Claude Skill or a Gemini Gem?

Same idea, different platform. A custom GPT is OpenAI's version, a Skill is Anthropic's, and a Gem is Google's. We build whichever one matches the tool your team already has open every day.

Can a custom GPT connect to our other tools?

It can, through actions that call other systems, but we only wire up what we scope during the build. We're specific about what each GPT can read and touch before it ever ships.