---
id: "prereq-custom-gpts"
type: "prerequisite"
source_timestamps: ["00:04:42"]
tags: ["context", "product-history"]
related: ["claim-custom-gpts-fail-shared-work", "concept-workspace-agents"]
reason: "Provides the baseline context for why autonomous coordination is more valuable than simple text generation."
sources: ["s06-openai-free-employee"]
sourceVaultSlug: "s06-openai-free-employee"
originDay: 6
---
# Understanding Custom GPT Limitations

## Why This Is Required

Provides the baseline context for why autonomous coordination is more valuable than simple text generation.

## What You Need to Know

To fully grasp the value proposition of [[concept-workspace-agents|Workspace Agents]], a practitioner must understand the limitations of [[entity-openai-d6|OpenAI]]'s previous iteration, **Custom GPTs**:

- Custom GPTs require heavy manual prompting per use
- They fail at autonomous, shared team workflows (see [[claim-custom-gpts-fail-shared-work]])
- They are essentially **'a prompt in a suit'**
- Their failure mode is precisely [[concept-negative-lift|negative lift]] in shared contexts

Knowing this provides the necessary context for why the 'coordination layer' of Workspace Agents is a significant leap forward — captured in [[quote-lift-the-load]].