AI Workflow Conduction Whitepaper
Overview
This whitepaper proposes a comprehensive framework for integrating AI agents into software development workflows. It pragmatically examines how to restructure the division of labor, leveraging AI's execution capabilities while maintaining human oversight and decision-making authority.
Scope
This document focuses on integrating AI agents into software development workflows. If your product is not software, you must first define your current workflow and extract relevant information and knowledge to transform that workflow. However, in most cases, this document remains applicable.
Document Structure
Part 1: Foundation
| Document | Description |
|---|---|
| Context | The situation, complication, and resolution that frames this framework |
Part 2: Recommendations
| Document | Description |
|---|---|
| Workflow Framework | Multi-level specification management, role definitions, and design flows |
| Guiding Principles | RFC 2119-based principles for governance, quality, culture, and execution |
| Technology Selection | Technology stack choices for AI-assisted development |
Part 3: Implementation
| Document | Description |
|---|---|
| One-Year Plan | Complete implementation guide for 2026 |
Case Studies
| Case Study | Description |
|---|---|
| E-Map Floor Plan | Complete example from proposal to implementation |
| WebAuthn Passkey | Authentication feature with platform integration |
Reading Paths by Role
Choose the reading path that fits your role:
CEO / Executive Leadership
Goal: Understand strategic value and decision points in 5-10 minutes
- Disclaimer - Overview of 32 management decisions
- Context §1.2 The Disruption - Why action is needed now
VP Engineering / Technical Leadership
Goal: Grasp the implementation framework and resource planning in 30 minutes
- One-Year Plan - Quarterly plans and milestones
- Disclaimer §Decision Prioritization - When to make which decisions
- Workflow Framework - Specification-driven development flow
- Improvement Proposals - Infrastructure and standardization direction
Product Manager
Goal: Understand how spec-driven development changes PM workflows
- Context - Full explanation of the problem and solution
- Workflow Framework - Feature development, API, UX design flows
- Requirement Seed Content - How PRDs transform into specs
- Guiding Principles §Governance - Single source of truth, centralized requirements
- E-Map Case Study - Complete example from proposal to implementation
Engineer / Tech Lead
Goal: Learn how to apply AI-assisted development in daily work
- Context - Understand why change is needed
- Technology Selection - LLM provider and framework choices
- Guiding Principles §Execution - Practical operation principles
- E-Map Case Study - Real-world application example
Full Understanding
Goal: Comprehensive understanding of the entire framework
Read in order: Context → Workflow Framework → Guiding Principles → Improvement Proposals → One-Year Plan