SEDAI
"AI develops exactly as the spec defines - no interpretation, no assumption."
"If the spec is wrong, the product is wrong - by design."
SED is beautifully simple. At its core, SED is just a collection of Markdown documents—specifications that tell AI exactly what to build.
These human-readable documents, called "specs," are easy to write and understand.
No complex frameworks, no steep learning curves—just clear, straightforward instructions that both humans and AI can comprehend.
The Problem
Most AI development has a fundamental flaw: developers don't know exactly what they want, so they give vague instructions to AI, which creates something that looks good but doesn't work in practice.
Then comes the second prompt for changes. Your intent now diverges from what AI originally built. AI makes mistakes. You're stuck in an endless cycle of corrections—the "hamster wheel"—making changes without making real progress.
SED's Radical Solution
There are many tools, frameworks, and methodologies. But after all, it's just a prompt.
Provide complete specifications to AI and demand absolute obedience.
Break the hamster wheel with precision and completeness.
🤖 AI Agnostic - Works with Any AI Model
SED is completely AI-agnostic and works with any artificial intelligence — Claude, GPT, Gemini, LLaMA, or any other AI model. The methodology is not tied to any specific AI platform or vendor.
Whether you're using OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini, or any open-source AI model, SED specifications remain unchanged. This universality ensures your specifications remain valuable and reusable regardless of which AI tools you choose today or in the future.
No Interpretation
AI executes only what is explicitly written in specifications. No guessing, no assumptions, no improvisation.
Reproducible
Same specification always produces identical results. Perfect consistency across teams and time.
Complete Control
Developers maintain full control through specifications. AI becomes a precise implementation tool.
How SED Works
SED transforms the relationship between developers and AI through a systematic,
specification-driven approach that eliminates ambiguity and ensures precision.
Write Complete Specifications with Source Code
Include complete source code in your specifications. Document not just requirements, but actual implementation code for functions, components, database queries, UI elements, error handling, and test cases. This prevents AI from arbitrarily generating code—AI only implements what is explicitly defined in the spec.
AI Evaluates & Scores
Before development begins, AI evaluates your specifications and assigns a score (0-100). Development proceeds only when score ≥ 95. AI identifies gaps and requests improvements rather than making assumptions.
Strict Execution
AI executes exactly what is specified—no interpretation, no improvisation, no assumptions. Even if the spec is wrong, AI follows it precisely, with authority to halt only for critical errors.
📝 The Core Principle: Complete Source Code in Specifications
SED's fundamental purpose is to develop complete web/app solutions using only specifications. This means specs must include not just planning and concepts, but complete source code embedded entirely within the spec— function implementations, database queries, UI component code, error handlers, and test cases.
By including actual source code, you prevent AI from arbitrarily generating implementations. AI becomes a precise executor that follows your exact code, not an improviser that interprets requirements.
Complete control. Zero interpretation. Absolute precision.
Explore SEDAI
What is SED?
Learn about the core concept, background, and the problems SED solves in modern AI-driven development.
Learn More →Core Principles
Understand the 6 fundamental principles that ensure specification integrity and implementation accuracy.
View Principles →Getting Started
Install SEDAI, initialize your first project, and learn the basic commands in this step-by-step guide.
Get Started →Development Workflow
Follow the 6-phase systematic approach: Preparation, Validation, Execution, Verification, Deployment, and Operation.
See Workflow →Ready to Start?
Install SEDAI and begin your journey to precise, reproducible AI-driven development.