Standard of Practice · Edition 2026

AI Logic Engineering
Framework

The sixteen-stage lifecycle from idea to successful project. The defining methodology of the discipline — the PMBOK of the AI era.

Published

July 2026

Edition

2026 · v1.0

Discipline

Human-AI Decision Making

Proposed Methodology

AI Logic Engineering is presented as a proposed methodology, not a definitive solution. It is published openly to invite academic review, critique, and continual refinement through future editions.

§ The Overarching Flow

From AI Logic Engineering to a Successful Project

The overarching idea behind the methodology — how structured human decision-making flows from idea through logic, execution, and verification to a successful project.

AI Logic Engineering

Human–AI Collaboration Framework

Definition

IdeaPurposeProblemValueUsersRequirements

Logic

Business LogicProject LogicTechnical LogicBoundaries

AI Logic Centre

AI Logic Centre

Execution

CommunicationImplementationVerificationContinuous Improvement

Successful Project

The Sixteen-Stage Decision Lifecycle

01
Idea
02
Purpose
03
Problem
04
Value
05
Users
06
Requirements
07
Business Logic
08
Project Logic
09
Technical Logic
10
Boundaries
11
AI Logic Centre
12
Communication
13
Implementation
14
Verification
15
Quality Assurance
16
Continuous Improvement
Successful Project

§ Citation

How to Cite This Framework

This framework is published under an open methodology license. Cite it as you would any academic standard.

Cite this Edition

Academic Citation

APA
AI Logic Engineering Framework. (2026). AI Logic Engineering — Edition 2026. AI Logic Engineering Editorial Board. DOI: 10.ailogiceng.e2026
MLA
AI Logic Engineering Framework. AI Logic Engineering Editorial Board, Edition 2026. AI Logic Engineering, 10.ailogiceng.e2026.
BibTeX
@article{ailogiceng2026,
  title={AI Logic Engineering Framework},
  author={AI Logic Engineering Editorial Board},
  year={2026},
  edition={Edition 2026},
  doi={10.ailogiceng.e2026}
}

DOI: 10.ailogiceng.e2026 · Published under the AI Logic Engineering Open Methodology License

§ The Living Methodology

Academic Review &
Critique

AI Logic Engineering is not a finished product. It is a living methodology — designed to be studied, challenged, cited, and improved. Academics, practitioners, and critics are invited to submit public reviews that are published after moderation.

Student
Professional
Academic
Practitioner
Critic
Other

Submit a Review

Share your critique, commentary, or response to the framework. Reviews are moderated before publication.