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AI tooling

Custom GPTs Manager

An AI tooling app for organizing and managing custom GPT-style assistants beyond simple chat demos.

Outcome
A practical assistant-management surface that supports repeatable AI workflows and clearer tool/product organization.
OpenAIAI toolingNext.jsVercel
Custom GPTs Manager deployed app screenshot.
Challenge
AI assistants become hard to manage when prompts, roles, tools, and use cases are scattered across chat history and separate experiments.
Approach
01

Create a product surface for organizing assistant concepts and reusable GPT-style workflows.

02

Treat assistants as managed assets rather than one-off prompts.

03

Keep the app small enough to evolve into a team-facing AI operations tool.

Project article

Why this project matters.

A short review of the product surface, workflow signal, and portfolio value.

Custom GPTs Manager represents the operational side of AI adoption. Instead of only building end-user AI apps, it explores how teams can keep assistant concepts organized and reusable.

The project is useful because AI workflows quickly become messy when they live only in conversations. A manager gives prompts, roles, tools, and use cases a clearer home.

In the portfolio, it shows AI tooling instincts: not just consuming models, but designing management surfaces around repeated AI work.

Proof points

What the system makes visible.

These are the artifacts that make the project usable beyond the first demo.

Assistant organization
Reusable AI workflows
Tooling surface
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