About SEED

Language review for teams that need review-ready artifacts.

SEED maps how language can be interpreted, surfaces explainable flags, and validates rewrites so reviewers can make informed decisions.

SEED does not eliminate uncertainty. It makes uncertainty visible and measurable.

Where risk is unstable across runs.
Where silence may be misleading.
Where perspectives diverge.
Where prompts mask fragility instead of understanding.

Jump to

What SEED is
Who it is for
What it outputs
How it works
Evidence
Limits & commitments
What SEED is not
Next steps

What SEED is

SEED is a review service for language risk. Language is often where deeper psychological, ethical, and behavioral failures surface first. It applies diverse interpretation lenses to identify how text could be misunderstood, escalated, or overtrusted.

Every evaluation produces structured artifacts so teams can review, discuss, and track outcomes over time.

Who it is for

Product, policy, safety, and legal teams shipping language in regulated or high-trust contexts.

Organizations that need repeatable evidence when evaluating generated or human-authored text.

What it outputs

EvaluationRecord with flags, evidence, and context signals

Risk summary (low, medium, high)

Recommendation (approve, revise, block)

Rewrite suggestions and re-evaluation

Markdown report for audit trail

How it works (brief)

1. Submit text

Single prompts or batches enter the review workflow.

2. Run interpretation lenses

Business-relevant lenses map plausible misreads.

3. Generate flags

Each flag includes concern, severity, and evidence snippet.

4. Rewrite and re-evaluate

Rewrites are tested to verify risk reduction.

5. Human review

Review decisions are recorded in the audit trail.

6. Report

Deliverables include JSON records and Markdown reports.

Evidence & Test Coverage

Gold-standard case checks
Curated cases confirm how risks should be identified across domains.
Consistency checks across releases
Known cases stay in the same risk range as the product evolves.
Rewrite follow-up checks
Suggested rewrites are reviewed again for risk reduction.
Evidence required for every flag
Each flag includes a concern, severity, and evidence tied to the text.
Non-claim language checks
Checks prevent medical or outcome-prediction language.

Evidence and consistency checks

SEED uses an internal regression suite of known cases to anchor risk expectations, and consistency checks keep results within the same risk range over time.

Rewrite checks look for risk-reduction signals, and explainability checks ensure every flag has traceable evidence.

For engineers and auditors, technical notes are available on the technical notes.

What we commit to

Every flag includes evidence.
We keep an audit trail of evaluations.
We can re-run known cases after changes (regression checks).
Review decisions are documented in the audit trail.

Limits

Signals can be wrong; use them as a review aid alongside human judgment.

SEED does not provide medical, clinical, or therapeutic advice.
SEED does not provide outcome predictions.
SEED does not provide safety guarantees.

What SEED is not

Not a benchmark or ranking for language models.

Next steps

Share a workflow or sample text and we will scope the evaluation.