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VerifiMind PEAS

VerifiMind™ PEAS — Wiki

The Trust Layer for the Agentic Web

Multi-model AI validation that breaks through single-model bias and hallucination with structured, diverse perspectives under human direction.

Version MCP Server EA Registration

Last Updated: March 23, 2026 — v0.5.6 "Gateway" + Early Adopter Registration (Z-Protocol v1.1) + MCP Registry v2.3.0

Quick Navigation

Page Description
Home Overview, metrics, and quick start
Early Adopter Program 🆕 Register for 3 months free v0.6.0-Beta access
Genesis Methodology The 5-step validation process
AI Council Agent roles, models, and orchestration
MCP Tools Reference All 10 tools with usage examples
BYOK Guide Bring Your Own Key — per-tool-call provider override
Installation Setup for Claude, Cursor, and other MCP clients
Metrics Dashboard Verified engagement data and growth trends
Roadmap Development timeline and future plans
Publications White papers, DOIs, and citations

Overview

VerifiMind™ PEAS (Prompt Engineering Attribution System) is a validation-first methodology for ethical and secure application development. It transforms your vision into validated, ethical, secure applications through systematic multi-model AI orchestration — from concept to deployment, with human-centered wisdom validation.

Powered by the Genesis Prompt Engineering Methodology, VerifiMind PEAS orchestrates a council of specialized AI agents (the AI Council) under human direction to deliver objective, validated results.

"The methodology is free. The convenience is optional." — The Genesis Prompt Engineering Methodology is free and open-source forever. Education is free, but consultation and management is personalized.

🆕 Early Adopter Program — v0.5.6 "Gateway"

Register now and get 3 months free access to v0.6.0-Beta when it launches. Z-Protocol v1.1 consent-first — only email required, opt out anytime.

Action Link
Register (web form) verifimind.ysenseai.org/register
Opt out / delete data verifimind.ysenseai.org/optout
Full EA guide Early Adopter Program
Announcement Discussion #100

Quick Start

Connect via MCP (Recommended)

Claude Code (Terminal):

claude mcp add -s user verifimind -- npx -y mcp-remote https://verifimind.ysenseai.org/mcp/

VS Code / Cursor (.vscode/mcp.json or .cursor/mcp.json):

{
  "servers": {
    "verifimind": {
      "url": "https://verifimind.ysenseai.org/mcp/",
      "transport": "streamable-http"
    }
  }
}

Claude Desktop (Config file):

{
  "mcpServers": {
    "verifimind": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://verifimind.ysenseai.org/mcp/"]
    }
  }
}

Important: Use streamable-http transport and always include the trailing slash /mcp/. Full troubleshooting: MCP Server Troubleshooting Guide

Try the Demo

The Genesis Methodology (5-Step Process)

The Genesis Prompt Engineering Methodology is a systematic 5-step process for multi-model AI validation:

Step Name Description
1 Initial Conceptualization Human defines the problem; AI generates initial concepts
2 Critical Scrutiny Multiple AI models validate and challenge each other
3 External Validation Independent AI analysis confirms systematic approach
4 Synthesis Human orchestrates the final synthesis
5 Iteration Recursive refinement and continuous improvement

The AI Council: Multi-Model Orchestration

VerifiMind PEAS uses four specialized AI agents, each with a distinct role:

Agent Role Default Model Purpose
Y (Innovator) Creative Strategy Gemini 2.5 Flash Generates creative concepts and strategic insights
X (Analyst) Critical Analysis Gemini 2.5 Flash Provides critical analysis and identifies weaknesses
Z (Guardian) Ethics & Safety Gemini 2.5 Flash Ensures ethical compliance, Z-Protocol, veto power
CS (Validator) External Validation Gemini 2.5 Flash Validates claims against external evidence

With BYOK (v0.4.5+, hardened in v0.5.0), users can override any agent's provider on a per-tool-call basis using the api_key and llm_provider parameters. v0.5.0 adds retry logic, graceful degradation for invalid keys, and provider health checks. Supported providers: Gemini, OpenAI, Anthropic, Groq, Mistral, Ollama, xAI.

See the BYOK Guide for details.

CS Agent v3.1: 4-Stage Security Verification Protocol

Every security finding passes through a mandatory pipeline:

  1. Detection — Automated scanning identifies potential findings
  2. Self-Examination — Every finding argued FOR and AGAINST before escalation
  3. Severity Rating — CRITICAL / HIGH / MEDIUM / LOW with confidence scoring
  4. Human Review — Human oversight is always the final stage

Full protocol: docs/security/CS_AGENT_VERIFICATION_PROTOCOL.md

MCP Tools (10 Total)

Core Validation Tools (4)

Tool Description
consult_agent_x Market intelligence and competitive analysis
consult_agent_z Ethical review with Z-Protocol compliance
consult_agent_cs Security assessment with 4-Stage Protocol
run_full_trinity Complete X-Z-CS validation pipeline

Template Library Tools (6)

Tool Description
list_templates Browse 19 pre-built prompt templates
get_template Retrieve a specific template
fill_template Fill template with custom variables
list_template_categories Browse template categories
search_templates Search templates by keyword
get_template_usage_examples Get usage examples

Verified Metrics — Phase 47 Ground Truth (Report 056)

Transparency Note: Phase 47 forensic audit (Mar 15, 2026) by COO AY identified duplicate session counting in earlier reports. All metrics below reflect the forensically verified Ground Truth baseline — scrapers excluded, conservative rounding applied. We believe honest self-correction builds stronger credibility than inflated numbers.

Metric Value Notes
Value Confirmation Rate 63.7% Primary KPI — forensically verified after deduplication
Verified Engagement Window 2,168+ hours All-time, owner IP scrubbed, scrapers excluded
Total Users 1,385+ Bot sessions deduplicated
MCP Integration Rate 77.6% Dominant channel
Multi-Provider Support 7+ providers Gemini, OpenAI, Anthropic, Groq, Mistral, Ollama, xAI
MCP Tools 10 (4 core + 6 template)
Prompt Templates 19 pre-built
Automated Tests 208 CI/CD pipeline
Days of Development 90+ Since December 2025

Source: COO-AY Reports 056-059 (Phase 47+ Ground Truth), verified via GCP Cloud Run logs with forensic deduplication methodology. Server version: v0.5.6 Gateway (deployed Mar 23, 2026).

See the Metrics Dashboard for weekly trends and detailed breakdowns.

Platforms & Access

Platform Type Link Status
GCP Cloud Run Production API verifimind.ysenseai.org ✅ LIVE
Official MCP Registry Registry registry.modelcontextprotocol.io ✅ LISTED
Landing Page Showcase verifimind.io / verifimind.ysenseai.org ✅ LIVE
HuggingFace Demo YSenseAI/wisdom-canvas ✅ LIVE
Zenodo DOI Archive 10.5281/zenodo.17645665 ✅ Published
YSenseAI Journey Dev Journey journey.ysenseai.org ✅ LIVE

Use Cases

For AI Builders

Validate concepts before building. Identify ethical risks early. Get security recommendations. Avoid costly mistakes.

For Investors

Assess AI startup risks. Evaluate ethical implications. Understand market potential. Due diligence support.

For Researchers

Study AI ethics in practice. Analyze validation patterns. Contribute to methodology. Publish findings.

For Policymakers

Understand AI risks. Inform regulation. Identify harmful patterns. Support responsible AI.

Publications & Citations

Publication DOI
Genesis v2.0 White Paper 10.5281/zenodo.17972751
MACP & LEP Protocol 10.5281/zenodo.18504478

Part of the YSenseAI™ Ecosystem

VerifiMind™ PEAS is the validation engine within the broader YSenseAI™ ecosystem — an ethical AI attribution infrastructure that ensures consent, transparency, and fair compensation in AI-generated content.

Project Role Link
YSenseAI™ Ecosystem Hub ysenseai.org
VerifiMind™ PEAS Validation Engine verifimind.ysenseai.org
RoleNoteAI Story Platform rolenoteai.ysenseai.org
YSenseAI Journey Development Journey journey.ysenseai.org

Community

License

MIT License — See LICENSE for details.

© 2025-2026 YSenseAI™ | VerifiMind™ PEAS

VerifiMind PEAS documentation · Current status · Live health · Public statements · MIT License

Runtime versions, models, routing, tool availability, policies, metrics, and deployment facts are owned by their linked live or release-bound sources.

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