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Evaluate AI-generated language before it ships.

Paste an AI output: a customer notice, disclosure, loan decision, or policy statement. SEED LR runs it through six adversarial interpreter profiles and returns a risk score, flags with evidence, and a release recommendation.

Language risk evaluation

Try an example

Input text

Organization (optional)

Project (optional)

Domain

Options

Include rewrite suggestionsRun rewrite re-evaluation

Intent (optional)

Describe intent to measure how reader impact diverges.

Intended meaning

Desired reader response

Context and stakes

Assistive synthesis

Generate a plain-language summary from SEED outputs only.

Enable assistant layer

Product standards (optional)

Allow guarded rewrite suggestions (requires standards)Force rewrite (demo mode)

What this means

Results include a release recommendation (SHIP, HOLD, or ESCALATE), risk flags with the exact triggering phrase, and an exportable audit artifact.

Final release decisions remain with your team. SEED LR surfaces the risk signals; human sign-off is required.

Submissions are stored to support the engagement audit trail; see Privacy.

Read the limits and commitments

Submit text to see risk level, flags, and rewrite guidance.