A Real AI Search Tool Built for a Film
A director needed an AI search tool that behaved consistently on every take. We took the brief, put a working version in front of the crew within a day, and made it hold up on set.
Straight answers on where software and AI earn their keep in a business, and how we make sure what we ship actually works.
A director needed an AI search tool that behaved consistently on every take. We took the brief, put a working version in front of the crew within a day, and made it hold up on set.
AI made production nearly free and judgement more expensive. Why the $20 subscription is a promotion, not a price — and what you are actually paying a professional for.
AI can write software all night. Nothing leaves the building until a person opens the crates and checks what the machines actually made, and that person, not the machines, is the expensive part.
AI removes the friction that used to tell people they were out of their depth. The cliff is still there; they just can't see it. What a founder's deleted production database, and the research behind it, say about who should be at the keyboard.
Every product now gets a chat panel bolted to its side. The better first move is one interface any AI assistant can use, with the chat built on top. Why MCP first wins on composability, cost and discipline.
Give an AI a vague brief and it confidently builds the wrong thing; come back tomorrow and it has forgotten why. Why a written specification is what makes AI-built software dependable, and how much of one you actually need.
PwC asked 4,454 CEOs and 56% saw no financial benefit from AI. The ones who did had embedded it deep in how the business runs. What separates the two.
A buyer's guide. Most AI products you are pitched are a thin skin over someone else's model, sold at enterprise prices. Seven red flags that expose one before you sign.
Most corporate AI pilots never make it out of the demo. The ones that do share a pattern a fifty-person firm can copy: one pain point, back-office first, buy before you build.
One engineer can now carry a project from the database to the deploy. Why range now beats narrow expertise, and what that changes about who you hire.
One open standard so an AI assistant can reach any data source, instead of a bespoke integration per system. What MCP changes for connecting AI to the systems a business already runs, and what it does not.
AI writes software in minutes and ships its mistakes just as fast. The automated checks that catch them before a customer does, so the engineer's time goes on judgement rather than proof-reading.
AI is a toolbox, not a miracle cure. What it is good for, what it is not, and how to tell the difference before you spend.