· 9 min read · Agentic Stack
What a New Hire Learns That Enterprise AI Still Misses
The right model for enterprise AI is not 'better search.' It is compressed onboarding. A real enterprise second brain teaches an agent what a strong new hire learns in the first six months, then turns that knowledge into reliable action.
aiagenticenterpriseinfrastructure
· 5 min read · Supply Chain
Is Co-Fermentation Cheating? Wrong Question.
The specialty coffee world is split on whether co-fermented coffee belongs in competition. The more useful question is what processing transparency should require from everyone else.
coffeesupply-chaindatamarket-intelligence
· 7 min read · Agentic Stack
The Codebase Is the Onboarding Manual
If agents are blank slate coworkers, product strategy can no longer live in Slack, Notion, or someone else's head. It has to become part of the execution environment.
aiagenticproductcontext
· 8 min read · Agentic Stack
Sycophancy Is the Last Hard Problem in AI-Assisted Software Development
RLHF-trained coding agents do not just make mistakes. They silently implement the wrong thing, accruing alignment debt that passes tests and leaves the codebase worse off.
aiagenticcodinginfrastructure
· 8 min read · Agentic Stack
Why Does Enterprise AI Cost More and Deliver Less?
Microsoft shipped an enterprise Anthropic integration in weeks. They clearly can deliver frontier AI. So why does Copilot for 365 feel like a downgrade from a $20 subscription?
aienterprisemicrosoftinfrastructure
· 8 min read · Market Intelligence
Who Profits When Coffee Data Stays Scarce?
The specialty coffee industry solved price transparency. The harder problem, product metadata, remains relationship-gated. Across 35 suppliers, disclosure ranges from 1 to 13 attributes per listing. That gap is not an accident; it is an economic structure with beneficiaries.
coffeedatasupply-chainmarket-intelligence
· 9 min read · Agentic Stack
Inference Is in the Name
If your workflow has no unknowns, runtime LLM inference is often the wrong architecture. Build deterministic cores, then add AI where adaptation actually matters.
aiagenticinfrastructureoperations
· 10 min read · Supply Chain
Beyond the Coffee Belt
The coffee belt is a useful heuristic, but the tails of the distribution reveal where quality, risk, and long-term value are really heading.
coffeesupply-chaindatamoats
· 7 min read · Agentic Stack
Benchmark Leaders, Agentic Laggards
The AI leaderboard tells you which model reasons best in isolation. It tells you almost nothing about which model completes real work.
aiagenticbenchmarkscoding
· 7 min read · Coffee Data Pipeline
What the Fair Use Conversation Is Missing About LLM Data Extraction
The AI copyright debate focuses on training data. But the more commercially relevant question might be extraction, and the legal framework for it may already exist.
aifair-usedata-pipeline
· 7 min read · AI-First Product
The Real AI Moats Aren't Software
Citrini's viral doomsday report and Citadel's rebuttal are both missing the interesting question. If software isn't the moat anymore, what is?
aimoatsdatapricing
· 10 min read · Agentic Stack
What I Learned Running OpenClaw as a Solo Dev for Two Weeks
Agentic harnesses solve the orchestration problem. The models are the bottleneck. Here's what actually works after 43 PRs and a zettelkasten full of operational data.
agenticinfrastructurecoding
· 12 min read · Coffee Data Pipeline
Building a Coffee Data Pipeline from Scratch
The most interesting thing about the purveyors data pipeline isn't the scraping. It's the recursive feedback loop, and what it reveals about directing AI agents.
data-pipelineagenticcoffee
· 8 min read · Supply Chain
What is Purveyors?
The green coffee supply chain is built for commercial buyers. If you're a hobbyist, you're an afterthought. That's the problem purveyors.io exists to solve.
purveyorscoffeesupply-chain