If You Put Engineers Inside Your Customers, Do You Still Have a Software Company?
The question every product leader has about forward deployment is financial, and almost nobody selling the model will an...
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Before You Hire Anyone to Deploy AI, Read the Report They Are Quoting
Every pitch for embedded AI engineering rests on one statistic: 95% of enterprise AI pilots fail. I downloaded the paper...
What a Forward Deployed Engineer Is, and Which Numbers to Believe
Every claim about this job travels faster than its source. The famous "729% growth" is arithmetically correct and almost...
Nobody Is Training the People This Job Actually Needs
I read the entry requirements of every Forward Deployed Engineer programme I could find, then read what Singapore's publ...
The Best Forward Deployed Engineers May Not Be Engineers
An AI practitioner in Beijing argues that the best Forward Deployed Engineers he has worked with were not computer scien...
Where Does My Data Actually Go?
"Do you use my data?" is two questions wearing one coat. Training asks whether your text enters a future model and is us...
Why It Confidently Makes Things Up
We asked two AI models for five peer-reviewed studies on an obscure topic, with DOIs. One produced five — authors, journ...
MCP, RAG, Agents, Skills: The New AI Vocabulary in Plain English
Somebody says the agent will use MCP to hit the connector, then RAG over the docs, and the skill handles the rest. Every...
Tokens and Context Windows, Explained From Zero
You are billed in a unit nobody explained. A token is a countable stand-in for a chunk of text — the word is borrowed fr...
What an LLM Actually Costs You
The rate per million tokens is the one number you cannot change, and the smallest part of the bill. Measured on 102 para...
The Chapter Everyone Skips: 孫子兵法 and the AI Capital War
Business writing quotes 知彼知己 and misquotes it — the received text reads 百戰不殆, not the 百戰百勝 that Sun Tzu expl...
Serve an LLM with vLLM on CPU in Docker: Learn the Production Engine Without a GPU (2026)
We ran vLLM v0.25.1's official CPU image in Docker on Apple Silicon, dodged a 10 GB CUDA decoy, survived three traps, an...
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