What Are Pre-Action Gates?
Pre-action gates stop the risky move before the agent executes it. ThumbGate uses thumbs-up/down feedback to decide what should be reinforced, warned, or blocked.
Why this page exists
- Prompt rules are advisory. Pre-action gates are enforcement.
- A repeated thumbs down can become a warning gate or a hard block.
- The right proof asset is not the rule text alone but the evidence that the gate fired before damage.
Why this matters
Most AI coding failures are not mysterious. They are repeated mistakes: force-pushes, destructive scripts, missed verification steps, or breaking architectural constraints.
A pre-action gate turns that failure pattern into a runtime checkpoint. The agent sees the stop before the bad action lands.
How ThumbGate makes the loop useful
- Capture structured thumbs-up/down feedback.
- Promote repeated failures into prevention rules.
- Score and enforce the rules with Thompson Sampling and pre-action hooks.
- Publish verification evidence so the system is auditable.
Best next step
If a buyer is exploring the category, this page should move them to either a comparison page or the main product proof pack.
FAQ
How are pre-action gates different from prompt rules?
Prompt rules ask the model nicely. Pre-action gates intercept the tool call and block it before execution when the known-bad pattern matches.
Can a thumbs up matter too?
Yes. ThumbGate explicitly uses thumbs up to reinforce successful behavior so the system is not only punitive.