Why OpenAI’s Agents Might Be the Most Underrated AI Feature Right Now

When GPT-5 launched, most attention went to the models. Faster performance. Better reasoning. Lower costs. But inside ChatGPT is a feature with even greater potential: Agents.

Agents are not flashy. They do not come with the hype of AGI. But they may be the most practical step toward making AI useful in everyday work.

What Are Agents

Agents are specialized assistants inside ChatGPT. They can connect to your Google Drive, SharePoint, Gmail, and more.

This means AI no longer works in isolation. It can access the data, documents, and workflows that already drive your business. Instead of producing generic text, it uses your company’s actual context.

Two Use Cases That Stand Out

1. LinkedIn Content Creation

Every week, companies generate insights in meetings, brainstorms, and shared docs. Most of that knowledge gets buried.

By connecting Google Drive, Agents can act as an extension of the company brain. For example:

• Meeting notes saved in Docs become searchable.

• Ask: What were the most useful insights this week?

• Get content ideas tied directly to internal learnings.

This creates authentic content and saves hours of work.

2. Proposal Writing at Scale

Proposals often feel either generic or time-consuming. Agents help strike the balance.

Copy a client call transcript into ChatGPT. Ask it to draft a proposal in your company’s style. The Agent will find the right reference doc in Drive or SharePoint, study it, and write in the same format and tone.

The result:

• Faster drafts

• Tailored proposals

• Less reliance on complex automation stacks

This gives both startups and creators a faster way to scale business development.

Why This Matters

Most teams use AI in isolation. They ask questions, generate drafts, or run summaries. Useful, but shallow.

Agents bring depth. They connect AI to the systems that matter most. This creates outputs that are contextual and specific.

For enterprises, this means more accurate results.
For creators, this means content and proposals that feel real, not templated.

The Road Ahead

This is only the beginning. As integrations expand, Agents will sit at the center of knowledge management and automation.

Imagine:

• Sales teams querying their CRM in plain language

• Creators remixing their content library instantly

• Startups running proposals, research, and reporting through one AI loop

The frontier may keep pushing model performance. But the real unlock for most organizations will be Agents.

Closing Thought

Agents make AI practical. They connect models to the context that matters.

Most people are still ignoring them. The ones who adopt them early will find themselves operating on a different level.