Workflow

The Ydun AI Workflow is built on two pillars: a validation checkpoint system (Jimmy’s Workflow) and 11 mandatory development principles. Together, they prevent AI hallucination, enforce quality, and maintain consistency across sessions.

Jimmy’s Workflow v2.1

A four-phase checkpoint system that prevents the “AI says done but it’s not actually done” problem:

PRE-FLIGHT → IMPLEMENT → VALIDATE → CHECKPOINT

Phase	Gate	What happens
PRE-FLIGHT	Red	Verify context — files, requirements, dependencies
IMPLEMENT	Red	Write code, build features
VALIDATE	Green	Run tests with reasoning + confidence level
CHECKPOINT	Blue	Mark complete with validity conditions

Key rule: Never skip PRE-FLIGHT. Never proceed without GREEN validation. Never assume — always verify.

Read the full Jimmy’s Workflow v2.1 reference.

11 Core Principles

#	Principle	One-liner
1	KISS	Choose simple over complex
2	TDD	Write tests first, always
3	SOC	One responsibility per component
4	DRY	Don’t repeat yourself
5	Documentation Standards	Factual, dated, objective
5.5	AI-Optimized Docs	Structured data for humans AND AI
6	Jimmy’s Workflow	Red/Green checkpoints, mandatory
7	YAGNI	Don’t build until needed
8	Fix Now	Never defer known issues
9	Measure Twice	Verify before executing
10	No Shortcuts	Complete the job properly
11	Rules Persist	All rules survive context compression

Read the full 11 Core Principles reference.

Documentation Standards

AI-optimized documentation follows 7 principles:

1. Structured data over prose
2. Explicit context
3. Cause-effect relationships
4. Machine-readable formats
5. Searchable content
6. Version-stamped
7. Cross-referenced

Read the full Documentation Standards reference.

How to invoke

Tell your AI assistant:

“Let’s use Jimmy’s Workflow to execute this plan”

The AI will then follow the PRE-FLIGHT → IMPLEMENT → VALIDATE → CHECKPOINT cycle, documenting confidence levels and reasoning at each gate.