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3 contributions to Automation Academy
🚀 GPT-6 Astra just dropped — and what people are building with it is unreal
OpenAI shipped GPT-6 Astra this month, and launch week alone has been a highlight reel. A few builds that actually stopped my scroll: 🔹 Riley Brown posted a screen recording captioned "Built this with Astra (GPT 6) this AM" — it shows Codex running with Astra and full computer access autonomously building a first-person-shooter map, working for just over 28 minutes and choosing its own upgrades like sculpted terrain, a moving convoy, and weighted movement across different surfaces. Explainx 🔹 Developer Ashe had Astra explode a full male anatomy model into 2,234 individually toggleable pieces in one interactive 3D web build — following an earlier viral demo where he did the same thing to a Tesla. DEV Community 🔹 Matt Shumer asked Astra to create a world in Unreal Engine, fill it with humans powered by Astra agents, and make them work together to survive. X I've hooked GPT-6 into my own "digital brain" and I'm running it hard over the next couple weeks. We're building several new apps with it right now — stay tuned. The benchmarks, for context: OpenAI says Astra surpassed its human action-efficiency baseline on 96% of levels of ARC-AGI-3, effectively reaching human parity on the benchmark — on the same eval, Astra reportedly hit human parity for the first time on any frontier model. It's also their first model to reach the "Critical" level of cybersecurity capability under their Preparedness Framework, with a 1M-token context window. Your turn 👇 What are YOU building or automating with GPT-6? Drop it below — pulling ideas from this thread for what we test next.
0 likes • 6d
@Layne Solam Start with one narrow task where you already know what success looks like. That way you can tell if it actually worked or just looked impressive.
🚨 OpenAI just gave away the hard part of building agents. For free.
Everyone who has tried to build a real agent knows the problem, and it isn't intelligence. Getting a model to plan a task is easy. Keeping it alive three hours into an unsupervised job is where homemade setups die. The context window fills up. A tool call fails and nothing recovers. It loses track of what it was doing halfway through. You end up writing more plumbing than product. Last Wednesday OpenAI opened the Agents API in public beta. It's the same harness that runs Codex and ChatGPT for Work, and it handles exactly that layer. Session orchestration. Context compaction when the window fills. Subagent coordination. Crash recovery. Durable sessions that pick up where they left off. Agents that stay running for days. There's no fee for the API itself. You pay for tokens, tools, and sandbox compute, which you were paying for anyway. The numbers from launch customers are worth a look. 📊 One company moved their case review workflow onto it and cut cost per case by 60%. Another decoupled their agent from the sandbox environment and dropped failed responses by 86%. A third reported their evaluation score climbing from 0.71 to 0.85, and specifically credited being able to see and orchestrate subagents instead of guessing at what they were doing. Different companies, different workloads, all vendor-reported. But the pattern is consistent and it's not about the model getting smarter. It's the scaffolding underneath getting solid. You can also run the sandbox wherever you want. OpenAI-hosted, your own infrastructure, or partners like Cloudflare and Vercel. And it speaks MCP, so tools you've already wired up plug in. Here's the part worth thinking about even if you never touch an API. 💡 The build-versus-buy line just moved, and it moved against a lot of people's business models. If you've been paying a developer to build orchestration, retry logic, session memory, and error recovery for your agents, a big chunk of that work is now free infrastructure maintained by someone else. That's not a small line item. For most agent projects it's the majority of the engineering.
🚨 OpenAI just gave away the hard part of building agents. For free.
0 likes • 6d
The pre-action log is the one piece I'd still own myself. Even if the platform handles retries, I want a record that says whether the action actually completed before trusting anything to pick up.
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1 like • 7d
Hey, I'm Jay Lane. I'm building a browser-based recruiting assistant that keeps a local history of its actions. Joined to learn how others handle reliability and avoid duplicate actions in their workflows.
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Jay Lane
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Joined Sep 22, 2026