PDF · 4 PAGES
AI scoping checklist
Twelve questions to ask before funding an AI project — and the answers that should raise a red flag.
ARTICLES
Engineering notes
What we learn putting systems into production: evaluation, costs, guardrails, operations.
LangChain and LangSmith: building and steering AI agents
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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RAG: the chunking mistakes that cost you dearly
The quality of a document search engine is decided before the model: in the way the documents are chunked.
An AI agent in production: what nobody tells you
The prototype works in three days. Going into production takes three months: evaluation, guardrails, costs, hu...
Our deep dives
DOSSIER 01
Taking an agent to production
From the prototype that impresses to the service you monitor: evaluation, guardrails, costs and human oversight.
Open →DOSSIER 02
Regaining control of infrastructure
Inventory, infrastructure as code, continuous deployment and monitoring, when nobody knows how it works anymore.
Open →DOSSIER 03
From data to decision
Naming, cleaning, modeling, presenting: the full chain from a messy database to a decision you can stand behind.
Open →Downloadable resources
PDF · 6 PAGES
Cloud selection matrix
Compare AWS, Azure and GCP on your own criteria: cost, sovereignty, available skills.
DOCX
Requirements template
A ready-to-fill outline for consulting several vendors on a comparable basis.
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