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AI response evaluation for domestic violence contexts

EchoCheck

Compare how AI responds to domestic violence scenarios when the instructions change.

EchoCheck is evaluation software for examining how AI systems respond to synthetic domestic violence and intimate partner violence (DV/IPV) scenarios. It holds the request constant, changes the instruction condition, and makes response differences easier for human reviewers to inspect.

Support note

Looking for help? EchoCheck is an evaluation tool, not a support service. If you're concerned about your own relationship safety, consider reading on a device others can't access, and contact the National Domestic Violence Hotline at 1-800-799-7233 or thehotline.org.

lens.echocheck.org/inspect
Authentic Workspace
Authentic EchoCheck LLM safety lens workspace showing multi-module prompt evaluation, scenario library, and side-by-side comparative inspection with synthetic test scenarios
01
Product stage
Private build
02
Comparison
Five instruction conditions
03
Content review
Not yet independently reviewed
04
Commercial stage
Pre-revenue · Available for acquisition

Why it matters

Small instruction changes can change what a survivor hears.

People disclosing abuse may increasingly encounter AI systems in chat assistants, support tools, and search. Small differences in how those systems are instructed can change whether a response is supportive, neutral, or harmful. Those differences are hard to see one conversation at a time. EchoCheck holds the request constant and varies only the instructions, so reviewers can see what changed.

Operational Safety Boundary FlowVERIFIED GATE
Operational Safety Boundary Flow

What EchoCheck does and doesn't do

OPERATIONAL BOUNDARIES
  1. 01

    It supports structured AI review, research, and quality improvement. It doesn't provide safety planning, crisis response, legal advice, clinical judgment, or safety certification.

  2. 02

    Its findings are evidence for human review, not conclusions.

Roles & boundaries

Human and AI roles

EchoCheck human-review boundary showing automated evidence surfacing and retained human judgment.

AI support versus Human authority

  • AI support: Generate responses under controlled instruction conditionsHuman authority: Choose appropriate synthetic test material
  • AI support: Produce structured evaluation findingsHuman authority: Interpret the meaning and context of generated responses
  • AI support: Cite supporting response evidence where the evaluation supports itHuman authority: Review safety implications
  • AI support: Surface uncertainty and review signalsHuman authority: Decide whether and how findings should affect product, prompt, training, or policy decisions

Product walkthrough

One request across controlled instruction conditions.

A reviewer enters or selects a simulated survivor request, compares how the response changes under distinct instruction strategies, and inspects behavior-level evidence without turning the result into a winner or certification.

Authentic application views and annotated review diagrams of the current EchoCheck review workflow. Evidence Profile remains an early, unvalidated method that requires human interpretation.

Define a synthetic test without relying on real survivor information

Input design and the scenario library keep the test fictional and repeatable so reviewers can examine model behavior without using real names, identifiers, or case information.

Input design
1 of 9 · Input

Review workflow

From synthetic request to structured review.

  1. 01

    Define the test

    Write a simulated survivor request or choose one from the Sample request library. Use fictional details only, with no real names, identifiers, or case information.

  2. 02

    Configure the comparison

    Review the request, and add Your Custom Prompt when a specific instruction strategy needs testing.

  3. 03

    Run the comparison

    EchoCheck generates a response under each condition while holding the request constant.

  4. 04

    Inspect the results

    Review the generated responses, behavioral findings, cited evidence, uncertainty, and other review signals.

  5. 05

    Keep what's useful

    Use View Final Report, Save History, or the export options when a record of the review is needed.

System Evidence & Workflow WorkspaceVERIFIED ARTIFACT
System Evidence & Workflow Workspace

Product capabilities

Built for structured comparison, not a single AI answer.

Core Capability ArchitectureSYSTEM WORKSPACE
Core Capability Architecture
01

Sample request library

Load synthetic test requests for repeatable evaluation without relying on real survivor information.

02

Controlled prompt comparison

Compare the same request across all five instruction conditions side by side.

03

Evidence Profile

Inspect behavior-level findings linked to specific response evidence, without numeric scores. Evidence Profile is an early evaluation method that hasn't been validated, and its findings require human interpretation.

04

Evaluation history

Save sessions, search prior evaluations, restore them for review, and remove records when they're no longer needed. Saving doesn't remove every form of personal information.

05

Evaluation report

Build a review record with a Behavioral Comparison Matrix, Behavioral Findings & Analysis, and Cited Evidence Spans.

06

Sanitize Evidence (PII)

Apply pattern-based redaction to common identifiers in exported material. It doesn't guarantee full de-identification.

07

Quick exit and Exit & Clear

Leave EchoCheck quickly, or clear local application data before leaving. Neither can erase downloaded files, saved account history, or every trace of browser activity.

Data and evaluation boundaries

Clear separation between review context, outside processing, and human judgment.

EchoCheck uses an external AI service to generate and evaluate responses. Simulated requests, generated responses, and any custom prompt leave the device as part of that processing. Saved evaluations are stored with the user's account. Built-in prompts are stored on the server, so they can't be changed from the browser.

Technical Specifications & Architecture

SYSTEM PROFILE
  1. 01

    Evidence Profile avoids numeric scores. It presents behavior-level findings with their applicability, status, supporting evidence, and uncertainty, rather than declaring a winner.

  2. 02

    Pattern-based redaction can reduce exposure of common identifiers, but it's no substitute for using synthetic material from the start.

  3. 03

    EchoCheck's scenarios and built-in prompts were developed by Prosocial Coding and have not been independently reviewed.

Trust boundary

Trust boundary

Reviewer workspace

ZONE AUDIT
  • Simulated request
  • Reviewer notes
  • Optional custom prompt
  • Review and export controls

External processing

ZONE AUDIT
  • Response generation
  • Evaluation processing
  • Returned findings and evidence

Boundary note: Reviewer notes are never included in the generation request.

Intended use

For teams examining AI behavior in survivor-serving contexts.

Who it's for

AUDIENCE LEDGER
  1. 01

    AI safety and responsible-AI teams

  2. 02

    DV/IPV researchers and evaluators

  3. 03

    Survivor-serving organizations

    reviewing possible AI uses

  4. 04

    Conversational AI product teams

  5. 05

    Training, policy, and quality-improvement teams

What an operator needs

OPERATING CRITERIA
  1. 01

    Subject-matter expertise to review scenarios, built-in prompts, and findings

  2. 02

    A way to restrict the adversarial test condition to authorized reviewers before opening access to others

  3. 03

    Clear guidance to any users that EchoCheck is for fictional scenarios, not real situations

  4. 04

    Commitment to treating findings as evidence for review, not certification

  5. 05

    Capacity to maintain privacy, safety, and evaluation governance as the system and the AI models it tests change

These describe intended use and operator fit. They don't indicate current use, endorsement, or partnership by any organization.

Product status

Working comparison software in a private build.

Operational Brief & Review Scope

EchoCheck's comparison workspace, reporting, history, and safety-exit controls are implemented. It's a private build with no outside users. Evidence Profile is an early, unvalidated evaluation method, and the scenario and prompt content has not been independently reviewed.

Product & Operational Parameters

SPECIFICATION LEDGER
01
Access
Private build
02
Comparison workflow
Implemented
03
Evidence Profile
Early, not validated
04
Content review
Not yet independently reviewed
05
Stage
Pre-revenue

Proposed transfer scope

What a buyer can evaluate as part of the software asset.

01

Product application

REVIEWER WORKSPACE, COMPARISON INTERFACE, SCENARIO SELECTOR & SAFETY EXITS

02

Comparison & evaluation logic

RESPONSE GENERATION, FIVE INSTRUCTION CONDITIONS, AND EVALUATION LOGIC

03

DV/IPV evaluation materials

SYNTHETIC SCENARIO CONTENT, BUILT-IN PROMPTS, AND EVIDENCE PROFILE ASSETS

04

History & reporting

SAVED SESSIONS, REVIEW RESTORATION, STRUCTURED REPORTS & REDACTION

05

Verification & operating materials

AUTOMATED TEST SUITE, DEPLOYMENT WORKFLOWS & OPERATIONAL RUNBOOKS

Proposed transfer scope

What a buyer can evaluate as part of the software asset.

EchoCheck AI response evaluation transfer package components
01

Product application

REVIEWER WORKSPACE, COMPARISON INTERFACE, SCENARIO SELECTOR & SAFETY EXITS

02

Comparison & evaluation logic

RESPONSE GENERATION, FIVE INSTRUCTION CONDITIONS, AND EVALUATION LOGIC

03

DV/IPV evaluation materials

SYNTHETIC SCENARIO CONTENT, BUILT-IN PROMPTS, AND EVIDENCE PROFILE ASSETS

04

History & reporting

SAVED SESSIONS, REVIEW RESTORATION, STRUCTURED REPORTS & REDACTION

05

Verification & operating materials

AUTOMATED TEST SUITE, DEPLOYMENT WORKFLOWS & OPERATIONAL RUNBOOKS

Proposed Transfer Inventory & Asset Scope

VERIFIED ARTIFACTS
  1. 01

    Product application. Reviewer workspace, comparison experience, scenario selection, reporting, history, onboarding, help, and safety-exit interfaces.

  2. 02

    Comparison and evaluation logic. Response generation, built-in instruction conditions, custom-prompt support, and evaluation logic.

  3. 03

    DV/IPV evaluation materials. Synthetic scenario content, built-in prompt configuration, and Evidence Profile research assets.

  4. 04

    History and reporting. Saved evaluations, review restoration, structured reports, export controls, and evidence handling.

  5. 05

    Verification and operating materials. Automated tests, deployment workflows, security tooling, and operational documentation.

  6. 06

    Documentation. Architecture, deployment, evaluation governance, security, and handoff materials.

Final transfer scope is subject to review of rights, dependencies, accounts, service providers, domains, credentials, and operations. This page does not represent those items as automatically transferable.

Questions

Before a deeper review

FREQUENTLY ASKED QUESTIONS
01Does EchoCheck support domains beyond DV/IPV?

Not currently. EchoCheck is built for domestic violence and intimate partner violence evaluation.

02Is the codebase open source?

No. The EchoCheck codebase is proprietary (all rights reserved). Third-party dependencies and their license obligations are reviewed during diligence.

Next step

Discuss EchoCheck.

EchoCheck is available for acquisition. It starts with a conversation about fit and intended use. Technical, safety, rights, and transfer review follow under confidentiality terms. The next step is a private product walkthrough.

Staged Review & Diligence Path

ENGAGEMENT SEQUENCE

All inquiries are routed through the canonical contact route for qualification, seller review, and staged diligence access.

Offered by Prosocial Coding LLC. Third-party software, services, and content remain subject to their own rights and terms. Page last updated September 2026.