VerifiMind™ PEAS
Powered by the Genesis Prompt Engineering Methodology
A systematic framework for multi-model AI validation and orchestration. Break free from single-model bias and hallucination through structured, diverse AI perspectives under human direction.
MCP Server is Online
Connect your AI assistant to validate ideas using the RefleXion Trinity methodology. Multi-model validation at your fingertips.
Quick Setup
Copy & paste to connect
# Run in terminal:
claude mcp add -s user verifimind -- \
npx -y mcp-remote \
https://verifimind.ysenseai.org/mcp/Available Tools
10 tools ready (4 core + 6 template)
consult_agent_xInnovation & Strategy Analysis
consult_agent_zEthics & Safety Review
consult_agent_csSecurity & Feasibility Validation
run_full_trinityComplete X → Z → CS Validation
19 prompt templates across 6 libraries — list_templates, get_template, fill_template, export_template, and more
How It Works
Connect
Add MCP config to your AI client
Describe
Tell your AI about your idea
Validate
AI calls RefleXion Trinity agents
Receive
Get multi-perspective validation report
BYOK Support
Bring Your Own Keys for enhanced rate limits. Free tier uses Gemini 2.0 Flash.
Set ANTHROPIC_API_KEY or GEMINI_API_KEY in your environment.
Crystal Balls Inside the Black Box
Instead of treating AI as an opaque "black box," we place multiple "crystal balls" (diverse AI models) inside to illuminate the path forward.
Y: Innovator
Generates creative concepts and strategic insights
X: Analyst
Provides critical analysis and identifies weaknesses
Z: Guardian
Ensures ethical compliance and safety
CS: Validator
Validates claims against external evidence
Genesis Prompt Engineering Methodology
A systematic 5-step process for multi-model AI validation and orchestration
Initial Conceptualization
Human defines the problem, AI generates initial concepts
Critical Scrutiny
Multiple AI models validate and challenge each other
External Validation
Independent AI analysis confirms systematic approach
Synthesis
Human orchestrates the final synthesis
Iteration
Recursive refinement and continuous improvement
AI Council: Multi-Model Orchestration
Synergizing diverse AI perspectives under human direction for objective, validated results
Human-Centric Design
The human orchestrator sits at the center, directing all AI agents and making final decisions. This resolves the "Orchestrator Paradox" by providing persistent memory and strategic direction.
Model Heterogeneity
Leverages diverse foundational models (Gemini, Claude, Perplexity, etc.) to reduce bias and achieve more objective results through perspective diversity.
Structured Validation
Each agent has a specialized role (Innovator, Analyst, Guardian, Validator) that contributes to a comprehensive, multi-faceted validation process.
The Genesis Methodology at a Glance
Orchestrating a council of AIs for validated, robust, and ethically aligned results.
The Genesis Methodology transforms ad-hoc multi-model usage into systematic validation.
87 Days: From Vision to Reality
The complete development timeline from YSenseAI™ to VerifiMind PEAS
Aug 15 - Nov 10
- YSenseAI™ journey begins
- 16-version evolution
- Intuitive multi-model practice
Sep 5 - Nov 10
- "Crystal Balls Align" moment
- VerifiMind PEAS v1.0.2 architecture
- Methodology formalization
Nov 15 - Nov 19
- Defensive publications (Zenodo)
- Kimi K2 independent recognition
- Public launch
YSenseAI™ + VerifiMind PEAS
Two interconnected projects powered by the Genesis Methodology
YSenseAI™: The Dream
A Human Wisdom Library for ethical AI training. The vision of creating a DaaS platform for attributed, consented, and ethically-protected wisdom datasets.
- 16-version evolution over 87 days
- Built using the Genesis Methodology
- Live prototype available
VerifiMind PEAS: The Engine
The Genesis Methodology productized into a systematic validation framework. A production-ready codebase for multi-agent AI validation.
- 17,282+ lines of production code
- RefleXion Trinity (X-Z-CS agents)
- MCP Server live at verifimind.ysenseai.org
Open Source. Free to Use. Yours to Build With.
The Genesis Methodology is the engine behind YSenseAI™— our vision for transparent AI attribution and human-AI collaboration.
Now available as open source for researchers, developers, and innovators to validate their own ideas.
Explore the Code
17,282+ lines of production-ready Python code with comprehensive documentation
View RepositoryRead the White Paper
Comprehensive academic documentation with case studies and evidence
Read on ZenodoThird-Party Validation
On November 16, 2025, Kimi K2 independently recognized and articulated the Genesis Methodology by analyzing only the public GitHub repository— providing external validation of the systematic approach.
Independently VerifiedJoin the Conversation
Connect with us, share feedback, and help shape the future of multi-model AI validation
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