A user made the claim in an October 9 quote post that linked to another post.
In an October 9 quote post, a user described a computer as “the first computer built for agents, rather than humans.” The post linked to another post but gave no further details.
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Stanley Wei announced Pine Computer on October 9, pitching it as a cloud environment designed around AI agents instead of people. Wei argued that agents become slow, costly and unreliable when they must use computers built for humans through a heavy software harness.
Robert Scoble described the usual agent workflow as a loop of screenshots, reasoning and clicks, and said Pine instead gives the model access to what sits behind the screen. said developers can use Pine’s SDK to create a cloud computer, give its built-in agent a task in plain English and let it work with a browser, files and a shell. The application can receive updates and collect the output when the agent finishes.
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The early benchmark account was mixed. Scoble reported that Pine completed 78% of the steps in SaaS-Bench tasks, compared with 74% for Claude Code, but finished fewer entire tasks: 27% versus 31%.
@StanleyWei4748AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness. AI doesn’t need to get smarter. It needs a computer built for it. Today we’re releasing Pine Computer
@davefontenotThe first computer built for agents, rather than humans.
@ScobleizerYour AI agent isn't dumb. It's using a computer built for you. Screenshot. Think. Click. Screenshot again. All so it can read a screen made for human eyes. @PineAIAssistant skips the screen and hands the model what's behind it. On SaaS-Bench, a test of real work inside business apps, Pine got through more of each task than Claude Code: 78% of the steps vs 74%. It did finish fewer whole tasks start to end, 27% vs 31%. Nice to see a launch admit that.@StanleyWei4748AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness. AI doesn’t need to get smarter. It needs a computer built for it. Today we’re releasing Pine Computer@davefontenotThe first computer built for agents, rather than humans.@ScobleizerYour AI agent isn't dumb. It's using a computer built for you. Screenshot. Think. Click. Screenshot again. All so it can read a screen made for human eyes. @PineAIAssistant skips the screen and hands the model what's behind it. On SaaS-Bench, a test of real work inside business apps, Pine got through more of each task than Claude Code: 78% of the steps vs 74%. It did finish fewer whole tasks start to end, 27% vs 31%. Nice to see a launch admit that.@StanleyWei4748AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness. AI doesn’t need to get smarter. It needs a computer built for it. Today we’re releasing Pine Computer@davefontenotThe first computer built for agents, rather than humans.@ScobleizerYour AI agent isn't dumb. It's using a computer built for you. Screenshot. Think. Click. Screenshot again. All so it can read a screen made for human eyes. @PineAIAssistant skips the screen and hands the model what's behind it. On SaaS-Bench, a test of real work inside business apps, Pine got through more of each task than Claude Code: 78% of the steps vs 74%. It did finish fewer whole tasks start to end, 27% vs 31%. Nice to see a launch admit that.@StanleyWei4748AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness. AI doesn’t need to get smarter. It needs a computer built for it. Today we’re releasing Pine Computer@davefontenotThe first computer built for agents, rather than humans.@ScobleizerYour AI agent isn't dumb. It's using a computer built for you. Screenshot. Think. Click. Screenshot again. All so it can read a screen made for human eyes. @PineAIAssistant skips the screen and hands the model what's behind it. On SaaS-Bench, a test of real work inside business apps, Pine got through more of each task than Claude Code: 78% of the steps vs 74%. It did finish fewer whole tasks start to end, 27% vs 31%. Nice to see a launch admit that.
