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ChatGPT Integration

AI Workspace

ChatGPT + Diaphora

Use Diaphora as the structured workflow engine and ChatGPT as the collaborative surface for refining the final narrative.

Run in Diaphora
Export structured output
Refine in ChatGPT
Share final narrative

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Story

How the ChatGPT workflow fits

ChatGPT works best when it starts from clean inputs. Diaphora produces those inputs by gathering data, validating structure, and rendering a first-pass document. ChatGPT then helps the user reshape that output for the audience in front of them.

Instead of asking ChatGPT to do the whole workflow from scratch, teams let Diaphora do the deterministic system work and reserve ChatGPT for the final editorial, brainstorming, and audience adaptation step.

Product Walkthrough

ChatGPT in action

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How To Integrate

How to integrate ChatGPT with Diaphora

Diaphora is exposed as an MCP server. The setup flow is intentionally lightweight: you need a Diaphora account, then you add Diaphora as a custom connector inside ChatGPT.

1. Start with a Diaphora account

Make sure you have an active Diaphora account before configuring ChatGPT. That account is the identity layer ChatGPT will connect through.

2. Open ChatGPT and add a custom connector

Inside ChatGPT, add Diaphora as a custom MCP connector. This points ChatGPT at Diaphora's MCP surface instead of treating the workflow as a pasted prompt.

3. Complete the Diaphora IAM login flow

When ChatGPT initiates the connection, you will be redirected into the Diaphora IAM login process. Authenticate there to authorize the connector.

4. Return to ChatGPT and start using Diaphora tools

Once the IAM flow is complete, ChatGPT can access Diaphora as an MCP server and use connected plans and workflows as part of your working session.

Why It Fits

The role this integration plays

Structured result handoff
Document-first workflow
Prompt-ready context packs
Reusable guide template

The ChatGPT integration pattern is about handoff. Diaphora gathers, structures, and renders the result; ChatGPT becomes the conversational layer teams use to adapt that output into an email, memo, strategy note, or stakeholder brief.

Operator view

Diaphora handles the deterministic work. ChatGPT becomes the surface where people discover, consume, or adapt the output in the flow of real work.