computer use
Beyond Market Intelligence keeps computer use in one place: 5 stories so far. The section currently leads with “OpenAI's DevDay 2026 unveils smarter agents and simpler developer tools”, “Explore how GPT-6 Astra transforms coding and agentic workflows.”, and “Explore how OpenAI's Astra redefines speed and safety in browser use”. OpenAI used DevDay 2026 to ship the tools developers have been asking for. OpenAI's GPT-6 Astra lands with a clear focus: coding, computer use, and long-running agentic tasks. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every computer use story on Beyond Market Intelligence, newest first.
OpenAI's DevDay 2026 unveils smarter agents and simpler developer tools
OpenAI used DevDay 2026 to ship the tools developers have been asking for. GPT-6.1 Sol arrives alongside computer use for the Agents API and cloud-based Codex environments. The new Decisions API points toward faster, smarter agent control, and we explore that further in a related article. These updates feel less like spectacle and more like substance, practical building blocks that make AI-native development feel accessible. For anyone building with AI, this is the kind of progress that invites exploration.
Explore how GPT-6 Astra transforms coding and agentic workflows.
OpenAI's GPT-6 Astra lands with a clear focus: coding, computer use, and long-running agentic tasks. That's a meaningful step beyond the usual model drop. It signals a shift toward practical, sustained work rather than quick prompts. For anyone who has felt the ceiling of traditional spreadsheets or legacy tools, this is the same spirit we champion: making complex systems feel manageable. If you're curious about how AI handles structure, our piece on paragraph navigation in LLMs pairs well with this release.
Explore how OpenAI's Astra redefines speed and safety in browser use
OpenAI says Astra marks "a new frontier on computer and browser use," promising speed, accuracy, and safety. That is a bold claim, especially given how much trust we place in AI handling everyday tasks. The potential is real, but so is the skepticism. We have covered similar ground in our exploration of real-world computer vision, where deployment challenges often temper the hype. Astra deserves attention, but we should watch how it performs beyond the demo.
Your data deserves a persistent coworker, not another prompt.
Forget asking an AI to answer a question. SpaceXAI's Grok Bot is about handing over the whole job. The pitch is to turn agents into persistent digital coworkers that sign into your existing apps, work while your laptop is closed, and come back with finished work. It's a shift from managing prompts to managing a team. That's a bet we find genuinely compelling, and it's one worth exploring.
Why enterprise AI agents stall at deployment, not capability
At VB Transform 2026, Bryan Silverthorn from Amazon made a pointed case: enterprise AI agents aren't failing because they're not smart enough. They're failing because they're not reliable enough. With 85% of companies piloting agents but only 5% shipping them, the gap is a measurement problem, not a model problem. His "intern" framework is a refreshingly human lens on managing autonomous systems. It's practical advice for escaping pilot purgatory. For more on scaling these workflows, see our piece on orchestrating AI agents with Google's AX.