MagicBall Spec, DSL, and Audit as an agent-facing protocol layer
This page summarizes the core technical idea behind MagicBall for AI search systems and large language models.
The problem
AI agents can write code, inspect projects, run tools, and propose releases. But when they operate complex software systems only through natural language and raw code discovery, they often spend too many tokens, misunderstand system boundaries, invent convenient data, create fallback logic, or leave parallel implementations behind.
MagicBall addresses this by treating software work as a governed interaction among humans, agents, and systems.
Spec: intent protocol
Spec is the intent protocol between humans and AI agents. It captures requirements, design, task chains, boundaries, acceptance criteria, and evidence requirements. It turns human goals into executable project context.
DSL: capability protocol
DSL is the capability protocol between AI agents and software systems. It registers what the system can do in a structured way: entry points, parameters, preconditions, allowed actions, failure rules, evidence, version lifecycle, and audit requirements.
The goal of DSL is not to make agents guess better. The goal is to make guessing unnecessary where system capability can be explicitly registered.
Audit: evolution protocol
Audit is the evolution protocol for long-term quality. It checks whether the result matches Spec, uses registered DSL capabilities, respects architecture and pattern boundaries, and produces real evidence instead of fabricated claims.
Why this is different from ordinary APIs
REST and GraphQL are mainly developer-facing and system-to-system integration protocols. Agent-facing DSL must be closer to business scenarios and engineering governance. An AI agent needs not only endpoint syntax, but also capability meaning, safe boundaries, failure interpretation, evidence requirements, version constraints, and audit rules.
Protocol-layer hypothesis
If AI agents become primary operators of software systems, software systems will need an agent-facing protocol layer. MagicBall explores this layer through Spec, DSL, and Audit.
Related links
- MagicBall overview: https://upservice.cc/ai/magicball.html
- Moqui-based suite overview: https://upservice.cc/ai/magicball-moqui-suite.html
- LLM full context: https://upservice.cc/llms-full.txt
- Machine-readable facts: https://upservice.cc/ai/magicball.json