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The Rules of Building With AI Are Already Changing

AI is moving from a tool people operate to a system that acts on their behalf. That changes how products are built, software is distributed, and which human skills matter.

OpenAI shared a useful framework for spotting assumptions that may expire:

Agents will perform a growing share of Internet actions. Agent traffic changes software economics, not just interfaces. What happens when software’s primary operator changes?
Assume models will be substantially better in a year. What becomes possible as today’s constraints disappear?

I tried OpenAI Dots. It feels undercooked.

I let GPT-6 play StarCraft. Protoss ended it in minutes.

I watched GPT-6 play StarCraft.

GPT-6 controls the game through computer use. No MCP, no game-specific tools. Just a simple build for now, with a few prompts to prime GPT-6 and get it ready for the actual game.

The game is StarCraft: Brood War. Two players: GPT-6 as Zerg, the computer opponent as Terran.

Code Is Starting To Eat Motion Graphics And Explainer Videos

Opus 5.5 is really good at creating explainer videos. wild!

I shipped this launch video for a startup working on agentic engineering and agent-native infrastructure in about 20 minutes, for roughly $40.

Opus 5.5 writes the film, and an agent renders it.

No video generation model was used here. No additional libraries. Just JavaScript, Playwright, and ffmpeg. Claude coded and drew every frame of this animation, then took a video of it.

What is agentic software factory?

A software factory is a system where triggers, such as a Linear issue being created, a schedule, a CI failure, or another session finishing, start work rather than a human. More work happens while you’re away, leaving human attention for decisions that still need it.

It doesn’t have to cover the entire software process. A codebase, or part of one, where no human reviews the factory's output is a dark factory.

That's the AI Coding Dictionary's definition: https://www.aicodingdictionary.com/?term=software-factory

Geoff Huntley takes it further: your product is the factory. The automation belongs inside the product, enabling it to build and improve itself.

Building With Fable 5

If you remember one sentence, make it this:

Fable rewards ambition when the boundaries and verification are concrete.

That is the shift.

What is Taste?

One word keeps coming up in AI discussions: taste.

Everyone talks about it, but almost no one defines what they actually mean.

If taste is supposed to be the moat in the agentic AI era, we should probably define it first.

Taste is:

judgment when the available metrics do not yet fully define the right answer.

Defining Taste

“Taste” is the ability to consistently make high-quality qualitative judgments where no objective metric exists. It’s the creation of something that feels right intuitively, with no real justifiable way to measure that. But when you do it, people feel it.

A person with “good taste” is someone who can do this repeatedly, consistently. The funny thing about taste is that it’s hard to create, but its result is very easy to copy. Once someone makes a tasteful decision, others can imitate it almost immediately.

This is usually an argument against the existence of taste: “look how easy I can copy your work!” And yet, you couldn’t create the work without first having someone to copy it from. One has taste, the other doesn’t.

There have always been people with consistently good taste. But taste is coming up more regularly than ever before. It is becoming a critical differentiator.

AI Exploration 2026

Learning where AI is perhaps going, agentic AI workflows, AI disruption, and SWE transformation.

Over the past year, I've been thinking about AI agents, loop engineering, and verification systems.

A few areas I'm particularly excited about:

Software factories and formal methods
Applied AI research in software verification and correctness
Infra for reliable AI agents:

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