Basecamp
We define the one job the GPT must do well and the knowledge it needs.
Part of · AI Training & Enablement
A custom GPT can be a tireless expert assistant — onboarding staff, answering customer questions, drafting in your voice, following your exact process. Or it can be a confident liar that makes things up and embarrasses you. The difference is in how it is built.
We have built over 50 custom GPTs and learned exactly what makes them reliable. We build yours to do a real job, with the instructions, knowledge, and guardrails to do it accurately.
Spinning up a GPT takes minutes. Making one you can actually trust takes real work. The default behaviour of a GPT is to be helpful and confident even when it is wrong — which is fine for brainstorming and dangerous for anything customer-facing or operational.
After 50+ builds, we know the patterns that keep a GPT grounded, on-brand, and honest about what it does not know.
The best custom GPTs do one job extremely well, not ten jobs vaguely. We start by defining that job precisely — answer support questions from your docs, draft proposals in your format, onboard new hires — and design everything around it.
A focused GPT is a reliable GPT.
We feed the GPT your real knowledge and constrain it to use that knowledge rather than inventing answers. We add guardrails so it stays on-topic, on-brand, and admits uncertainty instead of confidently guessing.
That grounding is the difference between a GPT that helps and one that creates liability.
We test custom GPTs against the awkward, real-world inputs that expose weaknesses, not just the happy path. Then we refine until it behaves reliably under pressure.
And we train your team to run and update it, so it stays useful as your business changes.
We define the one job the GPT must do well and the knowledge it needs.
We build the instructions, knowledge, and guardrails, then test it hard against real cases.
We refine, deploy, and train your team to use and maintain it.
A custom GPT is a version of ChatGPT configured with your instructions, knowledge, and guardrails to do a specific job — like answering support questions, onboarding staff, or drafting in your voice.
We ground it in your real knowledge, constrain it to use that knowledge, and add guardrails so it stays on-topic and admits uncertainty rather than confidently guessing. We then test it hard against real cases.
No. We build it and train your team to use and update it. For more advanced needs we can also integrate GPT capabilities into your own apps.
Over 50 — across support, internal knowledge, drafting, and process assistants — which is exactly how we learned what makes them reliable versus risky.
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