Technical Report: Using Predicate API as Verification Layer for Reliable AI Web Automation
By
tonyww
Sesame, salt, and substance. A flagship bake.
Summary
The article presents a technical report demonstrating how Predicate API serves as a verification layer for AI web automation. It shows four runs of an Amazon shopping flow and a finance operations demo with pre-action authorization, arguing that reliability in AI agents comes from verification rather than increasing model size or parameters. The approach uses explicit assertions over structured snapshots to gate each step, enabling the use of smaller local models for execution while reserving larger models for planning when needed. The article emphasizes cost reduction and reliability through verification rather than vision models or larger parameter counts.
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 this approach
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