AI scoping checklist
Twelve questions to ask before funding an AI project — and the answers that should raise a red flag.
What we learn putting systems into production: evaluation, costs, guardrails, operations.
LangChain is for building AI agents; LangSmith is for observing, evaluating and deploying them. This guide explains what each tool does, how they depend on each other, what they cost and where your data goes.
Read the article →From the prototype that impresses to the service you monitor: evaluation, guardrails, costs and human oversight.
Open →Inventory, infrastructure as code, continuous deployment and monitoring, when nobody knows how it works anymore.
Open →Naming, cleaning, modeling, presenting: the full chain from a messy database to a decision you can stand behind.
Open →Twelve questions to ask before funding an AI project — and the answers that should raise a red flag.
Compare AWS, Azure and GCP on your own criteria: cost, sovereignty, available skills.
A ready-to-fill outline for consulting several vendors on a comparable basis.
We apply these lessons with our clients — and we teach them in our training courses.