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□ index.mdAI stack: six building blocks, only one says no.
An enterprise AI stack always assembles the same blocks. The gap between a demo and a reliable system comes down to two of them: guardrails, which block an unauthorised action, and evaluations, which measure before every release.
Verdict
the essentials in 10 seconds3 rowsBLOCKSEvery platform lines up the same blocks. The difference lies in how they are governed.EVERYWHERE
STOPOnly one block can stop a bad action: the guardrails. Ask where they sit.DECISIVE
MEASUREWithout evaluation on your real cases, a successful demo proves nothing. Measure before every release.OVERLOOKED
The chain, from document to action
where each block steps in6 blocksThe agent plans, the model reasons, data comes in through RAG. Before any real action, the request goes through the guardrails, then through MCP to your applications. Evaluations measure the whole chain at every version.
One question per block
to ask your vendor or your team7 rowsmodel ↗Generates and reasons. The most replaceable block: choose it on your cases, not on a leaderboard.FINDER
data ↗Documents split, indexed in a vector database, retrieved by meaning. Read permissions must carry through to the index.QDRANT
MCP ↗The protocol that plugs the agent into your applications. An unvetted server opens a door into your systems.MCP SERVERS
guardrails ↗Filter inputs and outputs, block unauthorised actions. The only block that can say no.DECISIVE
evaluationsMeasure quality, cost and latency at every version. Without them, nobody knows whether an update broke something.OVERLOOKED
vendor ↗Where the data goes, who reuses it, which contract. Check before the first line of code.TRUST INDEX
Signs of a demo stack
one is enough to dig deeper7 rowsdemoThe demo runs on public data, never on yours.COMMON
guardrailsThe guardrails amount to an instruction in the prompt.BLOCKER
MCPMCP servers installed from a public repository, with no code review.
measureModels or versions are swapped without measuring anything first.
logNo way to trace who asked for what, and what the agent actually did.
Does your AI stack have a block that says no? We help you map your blocks, place the guardrails and set up evaluations.
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