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Ben's Bites: four kinds of AI users, and why personal agents aren't there yet

AI summary

In a set of reflections from a week in San Francisco, Ben's Bites sorts AI users into roughly four groups: everyday people treating it as a better Google, curious non-engineers who try Lovable or Replit but quit at the first database bug, non-engineers who can steer a coding agent, and professional developers. The author argues personal agents will be the interface of the future but aren't yet, citing three pet peeves: one thread for everything, invisible memory, and loops that never close across apps. The piece also notes briefly that Claude Code can now be modded like a video game and that Google Docs opens Markdown files directly.

Why it matters: It offers a practitioner's segmentation of AI users and names concrete gaps — interface and memory — that personal agents still have to close.

AnthropicClaude CodeGoogle Docs

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Source textBen's Bites · 5 min read

Hi folks,

Some random thoughts, notes and reflections from my week in SF.

There are roughly 4 groups of people using AI. First, the everyday folks (my mum, my wife) who use it as a better Google and may never want more. Second, the curious ones: they work on computers, they’ve tried Lovable or Replit (about 70% of Lovable signups say they’re non-technical), and then they hit a database bug, type “fix it” five times and quit. Third, people like me who aren’t engineers but know what localhost is and can steer a coding agent. And then developers.

Back in the Makerpad days, I thought my job was to convert people into builders. But it was really helping those already curious learn how to build.

People don’t know what they could do with agents. I think curiosity comes from seeing other people’s examples. That’s why I build silly things, and why I renamed my talk to “how I build and play with AI”. Someone told me afterwards they loved how often I said “play”. This stuff should feel fun. Copy, remix, learn.

On personal agents: I think they’ll be the interface of the future. They aren’t yet. They’re sold to everyday people as “we’ll do your computer work for you” (rebook your flight!), while the rest of us see them as a way to do way more with our computers. My pet peeves:

  • One thread for everything. I want ephemeral side threads, Slack-style, and little widgets built on the fly. Wabi is the only one I’ve tried that does a version of this. If a personal agent built you a mini app for something, you’d be much more inclined to ask to tweak it.

  • Invisible memory. I’ve spent months tending my “context garden”, and personal agents don’t show me what they ‘remember’ about me. I make mine sync every memory to a Google Doc so I can check it.

  • Loops that never close. Agents nag me about a document I haven’t signed or something open that I did do. But maybe the tasks closed loop was in Gmail instead of Slack, or my calendar, or somewhere else.

I’m tempted to build my own (I know, it’ll be a slog). But I’d build it on primitives like Pi, not from scratch. We’re not loyal to one lab, so I’d want to pick my own pieces, and that’s why I keep investing on the building blocks. As Alex from OpenRouter put it, everything looks the same because these are the new primitives, just like every SaaS app was a login page plus a dashboard.

Fast feels smart: I’m not speccing work for agents to run overnight, I’m steering them all day, so I’d rather have speed. Speed often feels smarter, I’m constantly in the loop.

People want more devices. Microducks sold out in hours, Ghost (see in afters) sold out in hours. I’ve got a Mac Mini I barely touch and I still want more things to tinker with.

More compute, more surfaces, more play.


Headlines

You can now mod Claude Code, like you’d mod a video game. A mod is a small add-on that changes how Claude Code behaves or looks: block risky commands, blur secrets from its output, or add your own buttons and panels. Claude can even build a mod for you. These install as plugins in Claude Code. Anthropic’s first official mod flags things in Claude’s replies you might miss.

Karpathy’s thoughts, tips & tricks on understanding LLM outputs:

  1. HTML not text

  2. diagrams

  3. plain english

  4. explainer videos

Funnily enough, these were things I mentioned in my talk last week as I often ask for these outputs.

Google Docs now opens Markdown files without converting them. So you can edit and comment on your Agents.md and other files with your team in Google Docs. Rolling out over the next two weeks.

Instinct can now join your group chats to plan trips, split tickets, and run your fantasy league. Your friends don’t need to be on Instinct.

“I was travelling over the weekend with a group of strangers. Sadly our guide was too confused to decide which spots to visit in what order. I asked both ChatGPT (not codex though) and Instinct to help with an annotated + interactive map. Instinct was much better. Maybe Codex/Claude Code would’ve done a better job but it was hard to reach for them while travelling without a laptop.” — Keshav


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How we got here

  1. Whistleblowers Say AI Researchers Are Checking Work Less OftenThe Information · Anthropic
  2. TechCrunch Disrupt 2026 publishes AI-focused breakout agendaTechCrunch AI · Anthropic
  3. Claude Threat Detection Reportedly Leads to Florida ArrestTechRepublic · Anthropic
  4. AI Agents Challenge Workday App Usage and GrowthThe Information · Anthropic
  5. Gamma 5 launches rebuilt presentation platform to strip the 'AI smell' from slidesSiliconANGLE AI · Anthropic
  6. SAP turns Joule into an agentic work layer as Autonomous Enterprise hits GASiliconANGLE AI · Anthropic

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