Amp puts AI agents to work beyond code with OpenAI models

Amp⁠(opens in a new window) is building a frontier AI agent that helps developers turn ambitious ideas into working software. For Quinn Slack, Amp’s CEO, each improvement in the models is an opportunity to expand what the agent can do, from helping developers decide what to build to writing code and designing pages.

Amp chooses and recommends models based on what works best for its users, and OpenAI models account for the majority of tokens used in Amp. Quinn shares, “OpenAI is very transparent, and when there are safeguards applied, users know and they understand. That makes it really easy to use OpenAI models. You can do all of your work in Amp with OpenAI models and be really happy.”

“Our users really appreciate the consistency with which OpenAI models have been getting better and better.”

—Quinn Slack, CEO and member of technical staff, Amp

Lowering the cost of building with Sign in with ChatGPT

As builders give agents more work, token costs can become a constraint. Quinn describes some Amp users consuming 10 billion tokens a week. He believes that if people watch every increment of usage, it might hold them back from finding out what an agent is capable of.

To help alleviate that, Amp launched its Sign in with ChatGPT integration. Quinn says it gives Amp users access to more tokens and OpenAI models, including GPT‑6 Astra, which changes how willing they are to let an agent take on a larger task.

“Sign in with ChatGPT means that people can have that feeling where they’re not counting every single token,” he says. “And once you actually let the agent go and have a longer leash, then you realize just how much it can do.” Quinn says he sees people using the agent to plan, decide what to build, and continue working after they ship.

Writing, designing, and creating with GPT‑6 Astra

For that work, having high-quality writing and design is critical. GPT‑6 Astra helps the team produce documentation and design pages that meet Amp’s exacting standards.