Agents

In the 48 hours after OpenAI’s 7/9 dual launch (GPT-5.6 and ChatGPT Work on the same day), the agent ecosystem started realigning along three visible axes. OpenAI temporarily lifted the 5-hour rate limit on Plus / Business / Pro. Codex weekly active users crossed 6 million. And one production agent — Ploy, who builds real marketing websites with an agent that plans across apps, reads and writes code, takes its own screenshots, and decides for itself when the build is done — migrated its core model from Claude Opus 4.8 to GPT-5.6 Sol and posted first-impression numbers that beat Opus 4.8 across the board: 2.17x faster wall-clock, 27% lower cost, 0.970 vs 0.936 on the visual score. ...

A lot of AI products look clever but still feel one step away from real work. They can write an email, summarize a meeting, generate a sales script, and produce a polished support reply. But then what? Who actually makes the call? Who follows up with the customer? Who checks whether the email landed in the inbox? Who qualifies the lead? In many workflows, the human still takes over at the important moment. The AI sits beside the work and suggests things. It talks a lot. It does not always touch the business itself. ...

The awkward thing about AI writing is not that it is always bad. Often it is too good at looking like an article. Clean structure. Positive tone. Smooth transitions. A tidy conclusion. The problem is that after three seconds you can smell it. You know the rhythm. Start with a broad statement about a changing world. Add a few balanced sections. End with some version of “the future is full of possibilities.” Every claim is safe. Every sentence is polished. Every paragraph seems desperate to prove that it has a structure. ...

If someone asks me how a normal person should understand Claude Code and other coding agents, I would not start with code. I would start with a much simpler picture: put a pile of PDFs, screenshots, spreadsheets, meeting notes, and transcript files into a folder, then ask the agent to read them, write scripts where needed, and produce an HTML report you can actually open and inspect. That does not sound like “programming.” ...

What caught my eye in Claude Code this time was not the fact that it shipped another command. It was that it finally started treating orchestration as something worth caring about. /workflows looks like a feature toggle on the surface, but it feels more like a boundary line. It moves agents from “helpers that answer questions” toward “execution units that run by rule.” The change is quiet. It is not flashy. But I think it matters. ...

A clear signal showed up on GitHub Trending today: agent skills are having a moment. On the daily chart, obra/superpowers reached rank 2 with an agentic skills framework and software development methodology. K-Dense-AI/scientific-agent-skills reached rank 3 with ready-to-use skills for research, science, engineering, analysis, finance, and writing. The monthly chart is even louder: mattpocock/skills, multica-ai/andrej-karpathy-skills, ComposioHQ/awesome-codex-skills, addyosmani/agent-skills, NousResearch/hermes-agent, zilliztech/claude-context, and rohitg00/agentmemory all appear in the same cluster. This is not just another batch of prompt templates. ...

If you still think “AI for creators” means typing one prompt and getting a viral post, you are looking at the wrong layer. The interesting shift in 2026 is not that one tool can write a better headline. It is that every step of the creator workflow is starting to grow an agent around it. One tool looks for SEO opportunities. Another turns your voice and screen into a video. Another schedules posts across social platforms. Another generates short videos. Another turns documents into editable slides. ...

For the last year or so, many of us have built a simple habit around AI: ask a question, wait for a long Markdown answer. Headings, bullet points, tables, bold text, code blocks. It looks organized, and it is genuinely better than plain text. But lately I have been feeling that asking AI only for Markdown is a bit like buying a color TV and using it as a radio. ...

Over the last two years, people have gotten used to one basic fact about AI: it talks well. It writes copy, summarizes meetings, fixes code, and tidies up messy material into something presentable. But even when those capabilities are impressive, AI still often behaves like an advisor. It tells you what to do next. You are still the one who clicks the button, enters the card, chooses the service, and takes responsibility for the action. ...