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HEYRIJUL

AI, Strategy, and the Next Decade

Branching arguments, adaptive systems, the slow growth of a written body of work.

Sovereign AI: Why Every Nation Will Build Its Own Stack

The next decade of AI is not a single global model. It is a constellation of national stacks, each tuned to its own language, its own data laws, its own definition of harm. The implications run deeper than most policymakers admit.

The thesis arrived in three parts: compute, data, and law. Each one is a sovereignty claim disguised as a technology decision. This essay walks through the three, then names the five governments that already understand it — and the dozen that don't yet.

Read the Thesis →

Ep 014 · 54:12

v0.4 · public

Notebook coming soon

The next decade of leverage doesn't come from the model. It comes from what you write around it.

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Deep Dive

The next decade of AI is not a single global model. It is a constellation of national stacks, each tuned to its own language, its own data laws, its own definition of harm. The implications run deeper than most policymakers admit.

↳ The argument: compute is the new oil refinery. Data is the new currency reserve. The countries that conflate the two will lose both.
Read the full thesis →
Figure 01
The Sovereign AI Triad
compute · data · law
Analysis

Training costs got the headlines. But the trillion-token inference workloads of the next decade rewrite the unit economics of every product touching an LLM. Here is the math that k…

↳ Most pricing pages will be wrong by Q3. The companies that fix this first will own the margin.
Field Notes

I spent six weeks building autonomous agents that mostly failed. The interesting finding wasn't the failures — it was the substrate that emerged underneath them. Here's what to act…

↳ Build the rails, not the train. The boring middleware is where 2026's defensible companies will live.
Analysis

Llama and Mistral didn't lose because their weights weren't good enough. They lost the application layer because nobody figured out the channels. A note on what wins next.

↳ Capability commoditizes. Distribution doesn't. Build for the channel, not for the leaderboard.
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Ep · 014
54:12
Now Playing

with Anonymous — EU AI Act drafting team

A long conversation about why every major economy is suddenly racing to build a national AI stack — and the policy levers that will decide who actually pulls it off.

  • 01 Why GPU export controls reshape the alliance map
  • 02 The data-residency clause nobody is reading carefully
  • 03 What a "national champion" model actually looks like
  • 04 How small countries should bet
EP 013

with CFO, Series B AI infra company

EP 012

with Founder, autonomous-agent startup

EP 011

with Partner, generalist fund

All projects →
Public · v0.4

A reference architecture for retrieval-grounded agents that actually ship to production. Includes the eval harness, the routing layer, and the parts I would not build again.

TypeScriptpgvectorModalAnthropic
Live · 6.2k MAU

A map of the AI stack, updated monthly. Drag-and-drop layers, costed in real numbers, exportable as a Mermaid diagram.

ReactD3Cloudflare Workers
Open source · MIT

A multi-model debate harness. Six models argue a question, a seventh judges. Used as a research substrate for a few of the essays here.

PythonOpenRouterDSPy
Internal · alpha

A small writing tool I use to draft these essays. Distraction-free, obsidian-friendly, with an inline LLM that argues back.

TauriRustLocal Llama

I write to think.
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I'm Rijul. I write essays, host a podcast, and build small things on the web — all of it in service of one question: how do we leverage AI in the next decade without giving away what mattered in the last? New work lands here when it's ready. Subscribe and I'll send it once.