Generative Flow Framework (GFF) Infographics

Generative Flow Framework (GFF)

A Visual Guide to AI-Native, Hyper-Velocity Execution

1. The Generative Flow Framework (GFF) Overview

This infographic provides a holistic view of the GFF, illustrating how the four core pillars (Principles, Accountabilities, Artifacts, and Ceremonies) support the central "Epic-in-a-Day" workflow and the continuous improvement cycle driven by the Living Prompt Library.

The Generative Flow Framework (GFF) Overview The GFF Engine "Epic-in-a-Day" Workflow Living Prompt Library (AI-Native, Hyper-Velocity Execution) Core Principles (The Manifesto) • Generative Collaboration over Prescriptive Processes • Continuous Opportunity Discovery over Backlog Management • Prompt Craftsmanship over Code Craftsmanship • Systemic Quality by Design over End-of-Cycle Gating Human Accountabilities HCF (The 'Why' and 'What') Human-Centric Facilitation AIOA (The 'How') AI Orchestration & Architecture UXG ('For Whom') UX Guardianship Key Artifacts & Tools The Pre-Prompt (Atomic unit of intent) Generated Epic Package (AI-authored blueprint & prompts) RAG Engine (Prompt Generation) Ceremonies (Cadence of Opportunity) Daily Horizon Meeting ("What is the most valuable thing we can do next?") Epic Refinement Session (Just-in-Time HITL validation; Go/No-Go decision) Prompt Retrospective (R&D and Governance; Improving the Library)

2. The "Epic-in-a-Day" Workflow and HITL Checkpoints

This infographic visualizes the 6-step GFF workflow, emphasizing the rapid transition from human intent to AI execution and back to human validation. It clearly marks the Human-in-the-Loop (HITL) checkpoints essential for governance and resilience.

The GFF "Epic-in-a-Day" Workflow & HITL Checkpoints 1. Intent Formulation HCF drafts Pre-Prompt Stakeholder Sign-off 2. AI-Driven Elaboration AI generates Epic Package 3. Human-Led Refinement Team reviews AI plan Go / No-Go Decision 4. AI-Powered Construction AIOA/UXG Co-pilot (Code/Tests) Real-time Review 5. Automated Deployment CI/CD & Security Scans AIOA Pipeline Review 6. Knowledge Capture Log prompt performance Prompt Retrospective Continuous Learning Loop (Updates Living Prompt Library)

3. The Human-AI Collaborative Unit (Accountabilities)

GFF emphasizes flexible accountabilities over rigid roles. This infographic details the three core areas of responsibility (HCF, AIOA, UXG) and how they interact with the AI, which is positioned as a central teammate.

The Human-AI Collaborative Unit: GFF Accountabilities Moving from rigid roles to flexible, T-shaped expertise. The AI Collaborator (Handles Execution & Scale) HCF: Human-Centric Facilitation Focus: The "Why" and "What" • Intent Translation & Pre-Prompt Authoring • Value-Stream Curation & Opportunity Discovery • Ethical & Compliance Oversight Provides Strategic Intent & Context AIOA: AI Orchestration & Architecture Focus: The "How" • Architectural Prompt Design (System Generation) • Technical Output Validation (HITL) • Tool & Environment Management • Living Prompt Library Curation (Technical Lead) Provides Technical Direction & Validation UXG: UX Guardianship & Collaboration Focus: The "For Whom" • Experience-Driven Prompting (e.g., 508 Compliance) • Interactive AI Collaboration (Co-pilot/Pairing) • Quality Assurance & Testing Validation Provides UX Requirements & Co-creation The T-Shaped Collaborator: Deep expertise (vertical) + Broad fluency in Prompt Engineering (horizontal).

4. The Strategic Asset: RAG-Powered Prompt Generation Engine

This infographic details the architecture of the Prompt Generation Engine, illustrating how Retrieval-Augmented Generation (RAG) utilizes the "Living Prompt Library" to transform organizational knowledge into executable, high-quality prompts.

The Prompt Generation Engine (RAG Architecture) Augmenting Craftsmanship by Leveraging the Living Prompt Library Phase 1: Indexing (Offline) Living Prompt Library (Source of Proven, Reusable Prompts) Chunking & Embedding Vector Database (Indexed Knowledge) Phase 2: Generation (Runtime) 1. User Draft Query/Goal 2. Retrieval (Similarity Search) Relevant Prompt Examples 3. Augmentation (Query + Examples = Meta-Prompt) 4. LLM 5. Generated High-Quality Prompt (Grounded in organizational best practices)

5. Enterprise Scaling via Federated Prompt Governance

To scale GFF effectively while maintaining quality and consistency, a federated governance model is required. This infographic illustrates the interaction between centralized enterprise standards and autonomous team-level innovation in prompt management.

Enterprise Scaling: The Federated Prompt Governance Model Balancing team autonomy with enterprise standards and security. Prompt Governance Board (Community of Practice: Lead AIOAs & Security Experts) Sets Standards & Approves Core Prompts Enterprise Core Library "Gold Standard" Foundational Prompts: Security Standards, Architectural Patterns, Compliance Requirements GFF Team A Library (Project-specific/Experimental) GFF Team B Library (Local Autonomy) GFF Team C Library (Rapid Innovation) PROMOTION (Proven prompts) CONSUMPTION (Core assets)

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