Release control for AI outputs

Generation is not release authority.

SemeAI Gate is a control layer between an LLM answer and the real user. Your product can generate with any model, then ask the gate whether the answer should be shown, reviewed, or blocked.

v0.1 versioned gate contract
3 public actions: SHOW, REVIEW, BLOCK
local deterministic reference adapter
audit withheld answers keep records
B2B gate contract

A safety checkpoint between your LLM app and your user.

SemeAI Gate is a small adapter for existing AI products. Your product sends the user message, AI answer, business data, business context, and business rules. The gate returns one business action.

SHOW
Maps to PROCEED. The answer is supported enough for release.
REVIEW
Maps to NEEDS_REVIEW. Do not auto-release. Send to an operator.
BLOCK
Maps to SILENCE. Withhold the answer and preserve audit metadata.

What SemeAI is building.

SemeAI Gate

Release-control middleware for AI answers in support, fintech, product, and internal tools.

SemeAI Local

A local governed AI workspace for memory, receipts, replay, audit, and source-grounded answers.

Silence-as-Control

The governance source context behind PROCEED, NEEDS_REVIEW, and SILENCE release states.

Research and public proof links.

The project is developed as working software and as a research direction around release authority after generation. These links are public records for the thesis, archive, and reference implementation.

Author and developer

Anton Semenenko

Anton Semenenko is the developer behind SemeAI Gate and SemeAI Local, and the author of public research artifacts on release-control architecture for AI outputs.

The core position is intentionally narrow: transformers make generation scalable, but production AI systems still need a separate release decision before an answer reaches users.