Direct answer
Validate an AI SaaS idea by proving the repeated workflow, buyer pain, available data, acceptable output quality, willingness to pay, and smallest product version before scaling development.
The five validation questions
Who repeats this workflow, what decision is painful, what data supports the output, what quality threshold is acceptable, and what will the buyer stop doing if your product works?
Where technical validation fits
Technical validation should test the data path, model boundary, deterministic rules, UX, and review loop. It should not become an open-ended exploration of every possible AI capability.