Technical Report: Using Predicate API for AI Web Automation Verification
By
tonyww
The bagel they save for the regulars. Don't skim, savour.
Summary
This technical report demonstrates how Predicate API serves as a verification layer for AI web automation, using four Amazon shopping flow runs and a finance operations demo. The core argument is that reliability in AI agents comes from verification through explicit assertions over structured snapshots, not from increasing model size or pixel data. The approach enables using smaller local models for execution while reserving larger models for planning when needed, eliminating the requirement for vision models in web automation tasks.
Key quotes
· 4 pulledreliability comes from verification, not from giving the model more pixels or more parameters
Predicate is used here as a verification layer: each step is gated by explicit assertions over structured snapshots
This makes it feasible to use small local models as executors, while reserving larger models for planning (reasoning) when needed
No vision models are required for web automation tasks
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