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Allzy Framework

Specification-first framework for reducing AI guessing through structured docs, prompts, templates, examples, and deterministic context workflows.

Specification-first Yin/Yang Contracts Metadata Graph Triage Workflow Deterministic Context

DocumentationPromptsTemplatesExamplesNotebookLMPrism Library

PhilosophyArchitectureYin/YangMetadata GraphTriage


Allzy Framework is a specification-first framework for turning raw ideas into structured, AI-ready documentation, prompts, templates, examples, and deterministic context workflows.

It is designed to help projects move from vague intent to clear, reviewable, reusable artifacts.

Start Here

  1. Read docs/README.md to understand the framework concepts.
  2. Read prompts/README.md to choose an operational prompt workflow.
  3. Read templates/README.md to use reusable artifact structures.
  4. Read examples/README.md to inspect source-backed examples and demo payloads.
  5. Open the NotebookLM source notebook for an interactive way to explore the framework material.

Repository Structure

Path What it contains Start with
docs/ Framework documentation, core concepts, terminology, and the consolidated V5 specification docs/README.md
prompts/ Operational prompts for Genesis, Triage, Workspace, Retrieval, Specification, and Review workflows prompts/README.md
templates/ Reusable templates for structured AI-ready artifacts templates/README.md
examples/ Source-backed examples, sandbox payloads, and local demo artifacts examples/README.md

LICENSE.md and ai.txt are included at the repository root.

How to Use This Repository

Use the documentation in docs/ to understand the framework.

Use the prompts in prompts/ when you want to run a specific framework workflow.

Use the templates in templates/ when you need a reusable output structure.

Use the examples in examples/ when you want to see how the framework material can look in practice.

Use the NotebookLM source notebook when you want an interactive way to ask questions about the framework documentation, templates, prompts, and examples.

What This Repository Provides

Allzy Framework focuses on:

  • structured framework documentation
  • operational AI workflow prompts
  • reusable artifact templates
  • source-backed examples
  • deterministic context and retrieval concepts
  • clearer handoffs between humans, AI systems, and implementation agents

Not Included

This repository does not contain a production application, hosted website build, SaaS backend, or live AI service.

It provides framework documentation, operational prompts, reusable templates, and source-backed examples.

Website

A public Allzy Framework website is planned for a later release.

Until then, this repository is the primary public source for the framework documentation and related materials.

NotebookLM

An interactive Allzy Framework source notebook is available in Google NotebookLM.

The notebook contains selected public framework documentation, templates, universal prompts, project metadata, and examples. It can be used to explore the framework, ask questions about the material, and understand how the documentation, prompts, templates, and examples relate to each other.

NotebookLM is a Google service. Access requires signing in with a Google Account. By opening the notebook and signing in, you use NotebookLM under Google’s own terms, privacy policy, and data processing rules.

Allzy does not control Google NotebookLM, Google accounts, Google login, or Google’s handling of data inside NotebookLM.

Only continue if you agree to use Google NotebookLM under Google’s applicable terms and privacy policies.

Open the notebook: https://notebooklm.google.com/notebook/17e2b207-2750-44bc-a987-8f78cf7b6123

Related Resources

Looking for current platform profiles, model-specific prompt references, or additional prompt resources?

See: https://github.com/flommox/allzy-prism-library

Note: The Prism Library is still in progress. It currently focuses on major model/provider ecosystems and will expand over time with additional models, platforms, and prompt profiles.