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RGI Framework™ | Research | AVA Credit Inc.
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RGI Framework™

The universal methodology defining how humans work with generative AI across every industry and use case.

Retrieve Generate Interact
The Breakthrough

Generative AI: The Transformer Breakthrough

Modern AI is powered by foundation models using transformer technology. This breakthrough enables something unprecedented: humans can now communicate directly with advanced computing systems using natural language, not code.

Before transformers, only programmers could tell computers what to do. Now, you can describe what you need in plain language, and AI can write the code, create the content, and produce the results.

This is the fundamental shift that makes the RGI Framework universally applicable across every profession, industry, and workflow.*

*The RGI Framework is scoped to productive human-AI collaboration in professional and enterprise contexts.

The Three Pillars of Human-AI Collaboration

Every productive AI interaction maps to one of these operations
R

Retrieve

Ask · Find · Search

Query AI as your knowledge engine. Instantly access, summarize, and extract information from vast datasets, documents, and knowledge sources with natural language commands.

G

Generate

Write · Ideate · Create

Direct AI to produce content, solutions, and ideas at scale. From reports and communications to strategies and creative concepts, generate high-quality output on demand.

I

Interact

Instruct · Query · Collaborate · Act

Engage AI as your workflow partner and autonomous agent. From iterative refinement to complex orchestration, AI can collaborate and act independently within your systems.

Universal Scalability

Individual Professional

RGI empowers every professional to enhance their work through AI collaboration. Whether you’re an analyst, manager, consultant, or specialist, the framework provides clear guidance for AI integration into daily workflows.

“What can I retrieve, generate, and interact with to enhance my work?”

Enterprise Leadership

For organizations, RGI provides the strategic framework for building AI capabilities across systems and workflows. From productivity gains to autonomous process orchestration, RGI scales from individual tools to enterprise transformation.

“How do we architect AI capabilities across our systems and workflows?”

Independent Evidence

OpenAI/Harvard Research Validates Core Architecture

In September 2025, OpenAI’s Economic Research Team and Harvard University published the largest study of consumer AI usage ever conducted. Their independently developed taxonomy converges with RGI’s three-operation structure.

700M
Weekly Users
1.5M
Conversations Classified
10%
Global Adult Population
100%
Independent Analysis
Read the Full Research Paper (PDF)

NBER Working Paper No. 34255 · September 2025

~49%
Information-Seeking
Study: “Asking” behaviors
RGI: Retrieve operations
~40%
Output Generation
Study: “Doing” behaviors
RGI: Generate operations
~11%
Outside Scope
Study: “Expressing” (social)
RGI: Non-productive usage
Convergent validity: Despite independent development and different methodologies — one empirical (1.5M conversations), one practice-based (operational discovery) — both approaches converged on tripartite architectures with information-seeking dominating output generation. The study found that 81% of work messages involve information gathering and decision-making, validating RGI’s architectural principle: Retrieve serves as the foundation, Generate follows, and Interact orchestrates.

Precision Communication

Effective human-AI collaboration requires structured communication. Master the art of prompting to unlock professional-quality results from any AI system.

Formula Goal + Context + Format + Reference + Refine = Professional Results

Clear objectives, relevant context, defined formats, supporting references, and iterative refinement transform basic AI interactions into powerful professional tools.

Open Academic Challenge

An Invitation to Rigorous Scrutiny

We are in the early innings of the modern AI era. We are all pioneers exploring this transformative technology together. There are no deeply seasoned experts or widely accepted frameworks of knowledge that belong in a vault in the archives of human knowledge.

We acknowledge a fourth behavior: Express. The OpenAI/Harvard research found that approximately 11% of AI interactions involve personal expression, emotional processing, and social conversation. We have intentionally excluded Express from the RGI Framework because it falls outside the scope of productive professional collaboration. Any work-related expression — communicating ideas, articulating positions, conveying feedback — is captured within Interact.

In the spirit of innovation and collaboration, we invite rigorous academic scrutiny. Can RGI be distilled into more basic elements? Beyond Express, are there modes of productive human-AI collaboration that fall outside these three pillars?

We challenge any human or AI model to identify a fundamental way that humans and AI systems productively collaborate that is not captured by Retrieve, Generate, or Interact.
Proprietary

RGI Framework™ is intellectual property of AVA Credit Inc.

RGI Framework™ — AVA Research

The RGI Framework™ is the first principles of human-AI collaboration, developed by AVA Credit Inc. Three core modules: Retrieve (Ask, Find, Search), Generate (Write, Ideate, Create), and Interact (Instruct, Query, Collaborate, Act). September 2025: OpenAI/Harvard research analyzing 700M weekly users and 1.5M conversations independently validates RGI’s three-operation architecture. Taxonomy convergence — Asking (~49%), Doing (~40%), Expressing (~11%) — maps to Retrieve, Generate, and non-productive usage. Communication Protocol: Goal + Context + Format + Reference + Refine = Professional Results. RGI Framework™ is proprietary intellectual property of AVA Credit Inc., Toronto, Ontario, Canada.