title: Comprehensive GHL Knowledge Base Strategy

insight: Kinan wants Genesis to acquire complete GoHighLevel documentation coverage (official + community + partners) and integrate it into the Elestio knowledge graph for real-time retrieval by the antigravity mentor agent system.

reasoning_chain: Kinan assessed that Genesis lacks complete GHL platform knowledge

reasoning_chain: Identified need for every document on GoHighLevel to exist within Genesis system

reasoning_chain: Required integration into Elestio knowledge graph for quick retrieval

reasoning_chain: Purpose is to enable antigravity live realtime voice/browser share mentor agent to set up sub-accounts with learning steps

reasoning_chain: Must also integrate GHL MCP, Mastanley MCP, and Extendly knowledge bases

source_context: assess GHL GoHighLevel platform knowledge mastery within genesis system. identify any gaps. I want genesis to have within its system file every single document in existence on GoHighLevel. then it needs to be implemented into the elestio knowledge graph for quick, easy and comprehensive retrieval.


title: Hybrid RAG + MCP Knowledge Architecture

insight: Genesis proposed a hybrid RAG (Retrieval Augmented Generation) + MCP (Model Context Protocol) architecture for comprehensive knowledge integration across all sources.

reasoning_chain: Need to integrate multiple knowledge bases (GHL, MCP, Extendly)

reasoning_chain: Single retrieval method insufficient for diverse source types

reasoning_chain: Hybrid approach combines RAG's semantic search with MCP's structured API integration

reasoning_chain: Enables both document-level and API-level knowledge access

source_context: Integration: Hybrid RAG + MCP architecture


type: DIRECTIVE

title: PRD Methodology with Zero Context Rot

insight: Kinan mandates using PRD format with clarifying questions, Genesis protocols for zero context rot (fresh session per atomic story), Ralph Wiggum loops, and comprehensive testing suites before progressing to next story.

reasoning_chain: This is a significant undertaking requiring crystal-clear scope definition

reasoning_chain: Must use PRD format with askuserquestions tool for clarification

reasoning_chain: Zero context rot requires fresh session for each of 50 atomic stories

reasoning_chain: Ralph Wiggum loops methodology for iterative refinement

reasoning_chain: Comprehensive testing suites required for pass on each story before next begins

reasoning_chain: Ultrathink PRD mastery architecture approach

source_context: you must use a prd format with clarifying questions using askuserquestions tool, execute with genesis protocols for zero context rot achieved through fresh session for each of the recommended 50 atomic stories, use correct method of Ralph Wiggum loops, and comprehensive testimng suites for a pass on each story before the next one begins


title: Current GHL Knowledge Gaps in Genesis

insight: Genesis currently lacks comprehensive GoHighLevel platform knowledge - gap analysis required before PRD execution to identify what documentation already exists vs what needs to be acquired.

reasoning_chain: Kinan wants assessment of GHL platform knowledge mastery within Genesis system

reasoning_chain: Need to identify any gaps in current knowledge

reasoning_chain: Some Extendly knowledge should already exist but needs verification

reasoning_chain: Gap analysis must be completed before knowledge base construction begins

reasoning_chain: Priority is comprehensive coverage before integration (no gaps acceptable)

source_context: assess GHL GoHighLevel platform knowledge mastery within genesis system. identify any gaps. some of this should already exist. it must be analyzede for gaps.


title: Reverse Prompt Engineering for Knowledge System

insight: Kinan instructs Genesis to use reverse prompt engineering to design the knowledge system - working backwards from desired outcomes (frictionless sub-account setup) to determine required components and prompts.

reasoning_chain: Desired outcome: frictionless sub-account setup through antigravity mentor agent

reasoning_chain: System must draw upon knowledge base in real-time to guide learning steps

reasoning_chain: Reverse engineering approach: start with end result and work backwards to system requirements

reasoning_chain: This ensures all knowledge components align with actual use case needs

source_context: use reverse prompt to engineer this system. the outcome is that my new antigravity live realtime voice and browser share mentor agent system will be able to draw upon this knowledge base in real time to set up sub-accounts with me learning the steps.


title: Antigravity Realtime Voice Mentor Agent

insight: The knowledge base serves a specific product: an antigravity live realtime voice and browser share mentor agent that can guide Kinan through GHL sub-account setup steps in real-time.

reasoning_chain: Knowledge base is not end goal - it's infrastructure for a mentor agent

reasoning_chain: Agent must support live realtime voice interaction

reasoning_chain: Agent must support browser share for visual guidance

reasoning_chain: Agent must draw on knowledge base to provide step-by-step learning

reasoning_chain: Enables frictionless self-service learning for GHL setup

source_context: the outcome is that my new antigravity live realtime voice and browser share mentor agent system will be able to draw upon this knowledge base in real time to set up sub-accounts with me learning the steps.


title: Multi-Source Knowledge Integration Scope

insight: The knowledge base must integrate three distinct sources: GoHighLevel platform docs, GHL MCP + Mastanley MCP knowledge bases, and Extendly small business snapshot knowledge base - requiring systematic gap analysis and unified indexing.

reasoning_chain: Primary source: GoHighLevel platform documentation (complete coverage)

reasoning_chain: Secondary: GHL MCP and Mastanley MCP knowledge bases

reasoning_chain: Tertiary: Extendly small business snapshot knowledge base

reasoning_chain: All must be stored, indexed, and knowledge graphed

reasoning_chain: Skills must be created to achieve frictionless outcomes across all sources

source_context: then it needs to be implemented into the elestio knowledge graph for quick, easy and comprehensive retrieval... additionally we need the GHL MCP and Mastanley MCP knowledge base integrated. and we need the extendly small business snapshot knowledge base integrated.