Strategic Framework
The Growth Architecture Framework
A systematic approach to building AI-native growth infrastructure through Perception Architecture, behavioral automation, and self-optimizing systems.
Perception Architecture
Utilizing the Fogg Behavior Model and neuromarketing to decode user intent and engineer high-trust conversion paths.
- •Motivation Mapping: Identify core psychological drivers
- •Ability Analysis: Remove friction from conversion paths
- •Trigger Engineering: Design prompts that activate behavior
- •Cognitive Bias Triggers: Loss aversion, social proof, anchoring
AI Infrastructure
Designing RAG-enhanced systems and autonomous workflows that turn data into a permanent growth asset.
- •Knowledge Graphs: Structured data for AI retrieval
- •RAG Pipelines: Context-aware AI responses
- •Behavior Trees: Automated qualification workflows
- •Content Engines: AI-driven content generation
Data Autonomy
Implementing real-time performance engineering to ensure self-optimizing systems for national-scale brands.
- •Real-time Analytics: Continuous performance monitoring
- •Predictive Models: Anticipate market shifts
- •Automated Optimization: Self-adjusting campaigns
- •Cohort Intelligence: Behavioral segmentation at scale
The Fogg Behavior Model
B = MAP — Behavior occurs when Motivation, Ability, and a Prompt converge at the same moment.
- Motivation: Identify what drives your audience—pleasure, pain, hope, fear, acceptance, rejection.
- Ability: Make the desired action as easy as possible by reducing time, money, physical effort, and cognitive load.
- Prompt: Deliver the right trigger at the right moment when motivation and ability are sufficient.
B = MAP
Motivation×Ability×Prompt
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