Notes / Case Studies
Topic
Write-ups from real projects: the trade-offs, how results were verified, and the approaches that did not work.
7
notes
In this topic
When choosing a model vendor, first ask who the vendor builds products for and whether enterprise business is its core business, then assess vendor stability. If a vendor sells to enterprises only as a backstop for its own compute, it may switch back to consumer business at any time or follow its leader's personal will, and a company should not tie its core operations to it.
After a team builds AI tools that solve specific workflow problems, the company still needs to decide what software to buy. Small tools used only for one internal step are fine to build. Systems that involve many parties, daily customer support, or security protection should still be bought. Management inventories what exists first, draws the line, and stops once a tool works.
Pricing a consumer AI app starts with who pays. Ben Thompson says OpenAI is retracing Dropbox's path, building ad tracking and enterprise products at once.
Start an AI strategy by picking your role. Amazon is its own first customer, Apple owns the entry point and buys models, Microsoft builds the middle layer.
Microsoft 365 E7 is $99 per user per month, with agent overage billed in Copilot Credits. Usage pricing needs monthly decisions; most budgets are set yearly.
Code and math can be checked instantly; long-cycle work cannot. Rank enterprise AI use cases by feedback loop length. Digital ads already run a closed loop.
AI writes a site faster, but getting it live and stable still takes engineering discipline. A review of one real Cloudflare Pages launch and how we debugged it.
Free. Remote, over video.
