Insights
Notes from the work: blockchain decisions, AI agents in production, and getting cited by search and AI assistants.
A consensus protocol is not a product
What carrying FLASH from protocol design into wallets, merchant tools, an explorer, and network operations taught us about building the whole system.
ReadWhat an AI-readable company site needs beyond llms.txt
A practical investigation into the technical and factual signals that help search engines and AI assistants understand a company consistently.
ReadWhat belongs in version one — and what can wait
A practical way to cut an ambitious product idea down to a first release that tests something real without becoming disposable software.
ReadWeb and mobile: one product, not two separate builds
Web and mobile applications can share a product without sharing every line of code. The important decisions happen in the system underneath.
ReadAI agents in production: what actually breaks
Most agent projects die somewhere between the demo and month three. A map of where they fail, and what to build from day one.
ReadWhen blockchain is the wrong answer (and when it's right)
Most projects that reach for a blockchain would be better off with a database. Here's how to tell the difference before you spend the budget.
ReadGEO explained: how to get cited by AI assistants
Generative engine optimization is getting your business named when someone asks ChatGPT or Claude, not just ranked in Google. What actually moves it.
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