Original technology evaluation
Compare architecture, evidence, and exit before comparing feature lists.
Seven bounded guides move from the technology stack and workflow through data, delivery patterns, vendor evidence, representative testing, and a reversible pilot.
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Separate the stack
Map the AI technology layers before shopping
Distinguish the user experience, workflow connection, model service, business data, control plane, and human decision before comparing products.Start with the job
Define the workflow before the AI category
Turn a vague request for an AI tool into a bounded workflow with a trigger, inputs, review point, accepted output, and fallback.Protect the input
Set a data boundary before the trial
Decide which information may enter a trial, who can authorize it, what the provider may retain or use, and what must stay out.Choose the pattern
Compare AI delivery patterns, not just products
Understand when an assistant, embedded feature, workflow automation, retrieval layer, or custom application changes the operating burden.Ask for the record
Request vendor evidence before confidence
Convert feature claims into dated questions about administration, data use, security, change, support, and exit.Measure the job
Build a small representative AI test set
Test a real range of ordinary, difficult, incomplete, ambiguous, and prohibited examples without turning a demo into proof.Bound the change