My biggest takeaways from @danshipper: 1. The future of work will happen inside Codex or Claude Cod...

1. The future of work will happen inside Codex or Claude Code. Instead of integrating AI into your SaaS tool, you’ll use your SaaS tools within your favorite AI agents' in-app browser. Dan now spends all his time in Codex—writing documents," / X

My biggest takeaways from

: 1. The future of work will happen inside Codex or Claude Code. Instead of integrating AI into your SaaS tool, you’ll use your SaaS tools within your favorite AI agents' in-app browser. Dan now spends all his time in Codex—writing documents, managing email, conducting research, and everything else. He uses Google Docs, PostHog, and everything he needs within the agent's in-app browser. The agent can see what he’s doing and has all the context, so he and his agent collaborate quickly and very effectively. 2. Automation is a myth—every automation requires human oversight. Despite being highly AI-focused, Dan's company doubled in size this year. Why? Because to make automation work well, you need humans ensuring everything continues to function properly. This is why benchmarks are misleading—they measure AI on problems we’ve already defined and can score, but there’s always a higher level of complexity. 3. Product Managers will lead the AI era. Marcus, a former PM who previously ran Axios’s writing product, joined Every after becoming deeply immersed in AI. Now he runs their product Spiral and delivers faster than anyone on the team. He combines technical knowledge with sharp product intuition, deep user empathy, and an eye for what truly matters. Dan believes any PM who becomes truly AI-native will be incredibly powerful because the infrastructure is already in place—the challenge is figuring out what to build and whether it’s excellent. 4. Full-stack designers are becoming superheroes. Designers used to create beautiful interactions that engineers didn’t want to build or couldn’t execute properly. Now designers don’t need to hand off their work; they can build it themselves. Designers are naturally creative, and AI is the perfect tool for them because it allows them to bring their vision to life without traditional bottlenecks. 5. SaaS is not dead. In fact, Dan is optimistic about SaaS stocks. When users bring their own AI (via Codex or Claude Code) to use SaaS products, the user—not the SaaS company—pays for tokens. This preserves the SaaS company’s margins. Since agents need their own seats, Dan predicts that agents will create massive new demand for SaaS as there will be many agents using these products at high volume. 6. Every company will have one “super-agent” in their Slack that every employee will use. Dan initially thought each employee would have their personal work agent, like a shadow AI org chart, but he has completely changed his view. He realized agents need humans who care about them. When someone gets tired of maintaining their personal agent, it becomes useless. The winning model is having one forward-deployed engineer or AI-savvy person maintain a company-wide agent (like Shopify’s River or Viktor), and then more specialized team agents will emerge as models improve and become easier to use. 7. The AI job apocalypse is not happening, but you do need to evolve to remain relevant. Models make yesterday’s human skills cheap. But since everyone uses the same models, if you use them in the default way, it all looks the same; it becomes commoditized. Humans then take that frozen skill set and use it to create something new and interesting for their specific situation. The key is to “ride the models”—use them for everything you do, try new models as they come out, and keep exploring. 8. We will read much more AI-generated writing, and we will enjoy it. Human writing is incredibly important for matters that truly matter, but for internal documents, planning, and email, AI-generated content is often better because most people are bad at writing strategic documents. 9. Build software for humans and agents to use together. The current model is building a CLI that an agent uses independently. Instead, you and your agent should use the app together. This creates new design challenges—agents can make a billion requests in three seconds, so you need approval workflows, inboxes that summarize what happened, logs, and easy rollbacks. 10. Forward-deployed engineers are the new most essential role. The large model companies have teams managing their internal agents, and those teams aren’t going away. It’s different from traditional software development, and some engineers thrive in it. As models improve, this role will evolve—you’ll manage more agents handling more tasks.