Rectiva

Rectiva sends verified AI corrections to every agent that reused the old output

[Rectiva @OpenRectiva]

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https://t.co/3MAKNSZO5E

[Rectiva @OpenRectiva]

Rectiva sends verified AI corrections to every agent that reused the old output $RECA CA:

0xfb8cd39e3e9772a14b4f10000875360dC760C421

[Rectiva @OpenRectiva]

Instead of allowing an outdated result to continue silently, the correction becomes an actionable signal across the connected system.

[Rectiva @OpenRectiva]

One corrected output can affect many connected systems. Rectiva sends correction alerts directly to identified downstream dependencies, helping every affected agent know when information they relied on has changed.

[Rectiva @OpenRectiva]

Rectiva connects verified corrections with identified downstream agents, reports, and workflows that previously relied on the original information.

[Rectiva @OpenRectiva]

The goal is simple: make information dependencies visible before an outdated output continues moving through the chain.

[Rectiva @OpenRectiva]

A correction matters only if you know what depended on the original output. Rectiva maps agents, reports, and workflows that relied on outdated AI information, making downstream dependencies visible.

[Rectiva @OpenRectiva]

Rectiva maps these relationships so a correction can be connected to the systems that previously consumed the affected information.

[Rectiva @OpenRectiva]

Once a correction is recorded, it can become a reference point for the systems and users that may still depend on the original output.

[Rectiva @OpenRectiva]

AI outputs can change, but outdated information can remain in circulation. Rectiva permanently records verified corrections and retractions, creating a reliable reference for previously generated AI outputs.

[Rectiva @OpenRectiva]

This creates an important distinction between generating a new answer and correcting an existing one. Rectiva focuses on making the history of AI-generated information traceable.