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Vercel CEO Guillermo Rauch on the fight to split off models from agents

What happened

Vercel has launched a tool called Vercel Sandbox, which allows AI agents to operate in a controlled environment to manage data access and security.

Source

Article excerpt

Known for its cloud infrastructure that allows developers to deploy agents without managing servers, Vercel has quietly become one of the most central companies in AI software. The company currently sees 6 million deployments a day, half of them triggered by coding agents, and more than 1 trillion tokens flow through the company’s AI gateway daily. After the company’s ShipNYC conference last week, we sat down with Vercel CEO Guillermo Rauch for his take on this moment in AI, and how platform companies like Vercel end up competing with major labs. Here’s a lightly edited transcript. It feels like there’s a different energy in the community this year, fewer pilot programs and more focus on how to make things work well in practice. I’m sure you’ve seen that a lot with clients, but I’m curious what that journey has looked like within Vercel. Last year was about prototyping. The sky’s the limit, unleash the agents, everyone can build, and so on. We did that, and we learned a lot because we had hundreds of agents organically developed and deployed within the company, and then you started getting into the realities of agents in production, and some of the challenges. The biggest lesson for me was the home-run use cases, the two killer apps of agents. One is the coding agent, of course. That’s driving a lot of the token utilization in the world, but when you produce so much software...

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Extracted from this sentence

And another tool is Vercel Sandbox, where you put the agent in a little cage.

Extracted by Autobound

From the Signal API record
Event
News

What this signalsA launch often needs new go-to-market and support spend.

Product
Vercel Sandbox

The full record

From the Signal API record

Topics and mentions

Product tags

  • general technology
  • security
  • future tech

Extraction

Confidence
90%
Detected
Jul 6, 2026
signal_type
news
signal_subtype
launches

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/53a93db7-67b2-1e88-6461-4c6bc947c5d6 returns this record as JSON. POST /v1/companies/enrich returns every signal for vercel.com.

{
  "signal_id": "53a93db7-67b2-1e88-6461-4c6bc947c5d6",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-07-06T19:49:10+00:00",
  "company": {
    "name": "Vercel",
    "domain": "vercel.com"
  },
  "data": {
    "url": "https://techcrunch.com/2026/07/06/vercel-ceo-guillermo-rauch-on-the-fight-to-split-off-models-from-agents/",
    "title": "Vercel CEO Guillermo Rauch on the fight to split off models from agents",
    "author": "Russell Brandom",
    "excerpt": "Known for its cloud infrastructure that allows developers to deploy agents without managing servers, Vercel has quietly become one of the most central companies in AI software. The company currently sees 6 million deployments a day, half of them triggered by coding agents, and more than 1 trillion tokens flow through the company’s AI gateway daily. After the company’s ShipNYC conference last week, we sat down with Vercel CEO Guillermo Rauch for his take on this moment in AI, and how platform companies like Vercel end up competing with major labs. Here’s a lightly edited transcript. It feels like there’s a different energy in the community this year, fewer pilot programs and more focus on how to make things work well in practice. I’m sure you’ve seen that a lot with clients, but I’m curious what that journey has looked like within Vercel. Last year was about prototyping. The sky’s the limit, unleash the agents, everyone can build, and so on. We did that, and we learned a lot because we had hundreds of agents organically developed and deployed within the company, and then you started getting into the realities of agents in production, and some of the challenges. The biggest lesson for me was the home-run use cases, the two killer apps of agents. One is the coding agent, of course. That’s driving a lot of the token utilization in the world, but when you produce so much software...",
    "product": "Vercel Sandbox",
    "summary": "Vercel has launched a tool called Vercel Sandbox, which allows AI agents to operate in a controlled environment to manage data access and security.",
    "planning": false,
    "image_url": "https://techcrunch.com/wp-content/uploads/2026/07/PHB_1846_16507246419711358101.jpeg?resize=1200,800",
    "confidence": 0.9,
    "product_data": {
      "name": "Vercel Sandbox",
      "full_text": "another tool is Vercel Sandbox",
      "fuzzy_match": false
    },
    "product_tags": [
      "general_technology",
      "security",
      "future_tech"
    ],
    "published_at": "2026-07-06T19:49:10Z",
    "article_sentence": "And another tool is Vercel Sandbox, where you put the agent in a little cage."
  }
}

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