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.
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A pipeline the whole team can read is better than an exhaustive pipeline nobody understands. Here is the one w...
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.