Growth Is Value Flow, Not Vanity Metrics
Growth isn't about hacking channels or vanity metrics. It's about discovering value creation and scaling it. Real growth happens when users get so much value they can't help but tell others.
AI Agents, Growth & Startups
Detailed writeups on multi-agent orchestration, AI engineering patterns, and what actually works in production.
Anthropic Bought Bun: Devtools Just Became AI Infrastructure
Anthropic bought Bun, but the real story is devtools are now part of the AI infrastructure layer. If you're building devtools, you're either part of a model vendor's vertical stack or you're commoditized.
Demos Run on Embeddings. Production Runs on Structure.
Production AI uses both embeddings and structure, but teams systematically underinvest in the structure layer. In high-stakes domains where 99% accuracy is a failing grade, structured data provides the reliability guarantees enterprise demands.
AI Agents Need Clearer Delegation
After analyzing hundreds of AI sessions, the successful ones shared clear patterns: subagents explore, main agents implement, and verification happens after every change.
Academic Year Begins, AI Infrastructure Ruminations, PhD Direction Reconsideration, AI Writing Interfaces
Agent Labs Are Eating the Software World
Agent labs ship product first and build infrastructure later. They turn LLMs into goal-directed systems that deliver outcomes, not just outputs. This product-first approach is capturing the real value in the AI stack.
Stop Using .md for AI Agent Instructions
Static site generators, formatters, and indexers treat .md files as content. Agent instruction files need dotfiles like .claude to avoid unwanted processing.
Mention Engineering: The Content Side of Prompt Craft
Analysis of how AI models cite sources reveals a new discipline: mention engineering. This isn't SEO anymore—it's about crafting content that becomes ideal citation material for AI models.
Serving Humans and AI Through Content Negotiation
My site serves identical content in HTML for humans and markdown for AI agents, with no hidden content, excellent crawlability, and smart content negotiation based on Accept headers.
AI Agent Reasoning Failures: A Technical Autopsy
AI agents lack foresight, overcomplicate simple problems, get stuck in loops, apply sledgehammer solutions, and misrepresent outcomes.
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