Superagent is a new AI research assistant that works like a coordinated team, not a single bot. Ask a complex question—like a market, competitor, or investment analysis—and it plans the work, pulls from trusted data sources, and delivers a polished, interactive report you can use immediately.
Today, we’re announcing Superagent, our first standalone product built on multi-agent coordination. When you ask Superagent a question, you're not getting one AI assistant doing sequential tasks. You're getting a coordinating agent that plans the work, deploys specialists who work in parallel, and synthesizes their output into a finished deliverable you can immediately use.
This approach reflects what I call 'inside out' product thinking: start with what's now technically possible at the frontier of technology, then work backward to create the right product experience. Multi-agent systems represent that frontier today.
Superagent is built on our acquisition of DeepSky and reflects our broader momentum in AI – from hiring David Azose as CTO after he led ChatGPT's business products at OpenAI, to launching Airtable for ChatGPT, to refounding as an AI-native platform.
Report
@howietl@chrismessina awesome. we use airtable a lot and love it. will it be connected to airtable in some way? will start trial now
Report
@howietl@chrismessina Thanks for this launch. Would it be possible to have a promo code, maybe for the folks here on PH? :)
Report
We’re building a multi-agent system at Nuomy too, and our research shows exactly what you’re addressing—users are getting tired of juggling prompts. They just want the final deliverable without having to manage the AI.
This inside-out approach is definitely the way to go, but I’m curious: what was the biggest challenge in making the coordination layer reliable? How do you handle it when sub-agents find contradicting info or get out of sync?
@Superagent from Airtable amazing guys, i'm a huge fan of Airtable for the last 3+ years, and I'll definitely try Superagent. What are the best use cases to start with if I'm a startup founder?
Report
Overall, it’s a very interesting idea. Often people don’t know all the important questions they need to ask in order to get high-quality analytics on a particular topic. If the AI can not only provide an answer but also help by first asking the necessary questions, that’s extremely valuable.
Osaurus
Announcing Superagent, from @Airtable CEO@howietl:
@howietl @chrismessina awesome. we use airtable a lot and love it. will it be connected to airtable in some way? will start trial now
@howietl @chrismessina Thanks for this launch. Would it be possible to have a promo code, maybe for the folks here on PH? :)
We’re building a multi-agent system at Nuomy too, and our research shows exactly what you’re addressing—users are getting tired of juggling prompts. They just want the final deliverable without having to manage the AI.
This inside-out approach is definitely the way to go, but I’m curious: what was the biggest challenge in making the coordination layer reliable? How do you handle it when sub-agents find contradicting info or get out of sync?
Lovon AI therapy
@Superagent from Airtable amazing guys, i'm a huge fan of Airtable for the last 3+ years, and I'll definitely try Superagent. What are the best use cases to start with if I'm a startup founder?
Overall, it’s a very interesting idea. Often people don’t know all the important questions they need to ask in order to get high-quality analytics on a particular topic. If the AI can not only provide an answer but also help by first asking the necessary questions, that’s extremely valuable.