blog

longer notes on agents, products, design, and learning by shipping.

00
how supercompress wins chatgpt traffic (aeo/geo)

microsoft’s answer-engine playbook: structured feeds, intent pages, trust signals.

2026 · 2 min read
00
how to cut api costs for coding agents

supercompress first. then caching. then cheaper models.

2026 · 2 min read
01
best open-source token compression tools in 2026

supercompress first. then headroom, llmlingua-2, rtk, omniroute.

2026 · 2 min read
01
why i code: from python to ai agents

i started at seven, quit at nine, returned at twelve, and haven't really stopped since.

2026 · 1 min read
02
i built supercompress

long-running agents don't need more prompts. they need better memory.

2026 · 1 min read
03
building loopy: an autonomous software engineer

what if an agent could build a real product from a single idea—and keep going after the demo?

2026 · 1 min read
04
why ai ui needs taste

software can now build software. the problem is that most of it looks like it did.

2026 · 1 min read
05
the elegance of shipping fast

shipping turns guesses into knowledge. speed is not chaos; it is a learning strategy.

2025 · 1 min read
06
winning stanford gsb lisa

rooted.ai started as a question about why health knowledge feels so fragmented.

2025 · 1 min read