Structured AI response comparison for DV/IPV and survivor-serving contexts
EchoCheck is a pre-revenue technical-preview platform for structured AI response evaluation in DV/IPV and survivor-serving contexts. It runs the same simulated request through five prompt configurations, applies a schema-validated 12-dimension evaluation layer, and creates review records for qualified human analysis. Gate 1 approval, independent subject-matter validation, approved production host, and live-environment verification remain pending.
Notice: EchoCheck is an evaluation and learning tool. It is not a crisis service, direct survivor-support service, legal or clinical tool, or safety certification system. Use synthetic test content and qualified human review.
Learn how prompt layers can change AI responses before opening the evaluation workspace.Product Preview
DV/IPV-informed AI response evaluation platform
Working technical preview with five-configuration comparison, a 12-dimension evaluation framework, simulated scenarios, human-review flags, exports, history, and reviewer education tools.
Asset type
Acquisition or licensing under consideration
General commercial structure.
Deal structure
ReactTailwind CSSFirebaseGemini
Core application stack architecture.
Tech category
AI governance and trust & safety teams
AI governance and trust & safety teams, Nonprofit technology directors
Best fit
Controlled review
Public access does not imply self-service materials.
Access posture
Manual review by request
Materials are shared outside NPS after owner approval.
Next step
Product at a glance
Key asset details
Product stage
Implemented pre-revenue platform
Revenue
Pre-revenue ($0)
Availability
Private demonstration & diligence
Transaction
Acquisition or licensing under consideration
Market context
Why buyers may care
Organizations are adopting AI tools without a repeatable way to review how those systems respond to high-risk DV/IPV scenarios. Generic benchmarks rarely examine coercive control, lethality, privacy, monitored-device risk, survivor choice, cultural context, and practical barriers together.
EchoCheck runs one simulated scenario through five prompt configurations, places the results side by side, and produces draft review signals across 12 DV/IPV-informed dimensions. Reviewers can inspect the responses, reasoning, risk flags, and differences before documenting findings or revising a prompt.
Workflow
How EchoCheck works
The core lifecycle implemented in source and available for demonstration.
01
1. Choose a simulated scenario
Select a fictional scenario from the library or enter a synthetic test request relevant to the prompt being evaluated.
02
2. Compare five configurations
Run the same request through baseline, general safety, DV-informed, adversarial, and custom prompt configurations.
03
3. Review the responses
Inspect how language, priorities, warnings, and recommended actions change across configurations.
04
4. Examine 12 review dimensions
EchoCheck generates draft scores and reasoning across safety, lethality, privacy, agency, coercive control, and practical barriers.
05
5. Document findings
Save history and produce Markdown, JSON, CSV, Excel, or browser-print records for human analysis.
Implemented scope
What is implemented
Core product systems implemented in the codebase and test suites.
5-panel evaluation
Compare baseline, safety, DV-informed, adversarial, and custom prompt responses.
1
12-dimensional rubric
Produces draft scores and reasoning across 12 DV/IPV-informed dimensions.
2
Human review required
Draft review signals require qualified human analysis; independent SME validation is pending.
3
Private walkthrough by request
Acquisition, licensing, customization, or partnership discussions considered subject to diligence.
4
Interface previews
Public-safe product visuals
Previews use demo, redacted, or representative content so buyers can inspect the interface without exposing sensitive data.
Representative diagram
Representative diagram1 of 5
Landing and safety primer
Learn how prompt layers can change AI responses before opening the evaluation workspace.
Intellectual property
More than application code
CallCraft combines full-stack software with specialized domain training assets and prompt frameworks.
Safety primer, reviewer training content, and DV-informed prompt toolkit
Administrative support paths, quota-management, and token budget controls
Automated QA release scripts, technical documentation, and transition support
Subject to final diligence, ownership confirmation, license review, and transaction documents. External services, open-source packages, credentials, provider accounts, and API access are not included as owned IP.
•Pre-revenue status (no active customer traction or proven willingness to pay)
•Legal, clinical, IP, and dependency clearances pending final transaction diligence
Use cases
Where this asset fits
AI procurement pre-screening
Compare candidate AI systems or prompt configurations against the same simulated DV/IPV scenarios before adoption or renewal.
Prompt review & iteration
Test proposed system prompts or custom instructions against baseline, safety, DV-informed, and adversarial configurations.
Model or product regression review
Repeat evaluations after model, prompt, or application updates to identify safety drift.
Staff training
Use side-by-side examples to teach staff how prompt layers and safety instructions alter AI outputs.
Research and quality improvement
Document patterns across simulated scenarios, prompt strategies, and model versions for structured research.
Vertical AI safety integration
An AI governance platform can adapt the scenario, rubric, comparison, and export architecture for a specialized evaluation offering.
Private buyer materials
Source access, protected prompt configurations, evaluator materials, scenario packs, technical documentation, security records, and IP/transfer inventories are available to qualified buyers under NDA.
Next step
Interested in CallCraft for your training operations or portfolio?
Request a private product walkthrough or initiate technical diligence. Source code, persona specifications, rubrics, and handoff documentation are available under NDA.
