docs: refresh README with expanded navigation

Author: OgeonX-Ai

README.md

@@ -13,21 +13,26 @@ Most AI coding workflows still behave like ad-hoc chats. AI-OS turns that into a
 1. set a clear goal
 2. fan out to specialist roles
 3. produce a plan
-4. ask for human approval when risk is meaningful
+4. review risk before broad changes
 5. implement in small reversible steps
 6. verify using strong gates
 7. update docs, memory, wiki, and roadmap
 8. repeat until no valuable improvement remains
 
 ## Start here
 
+- [Documentation map](docs/README.md)
+- [Quickstart](docs/methodology/quickstart.md)
 - [Master operating manual](docs/ai-os/master-operating-manual.md)
 - [Continuous improvement loop](docs/methodology/continuous-improvement-loop.md)
+- [Definition of Done](docs/methodology/definition-of-done.md)
+- [Maturity model](docs/methodology/maturity-model.md)
 - [Mermaid diagram catalog](docs/diagrams/README.md)
 - [Loop catalog](docs/loops/README.md)
 - [Verification gates](docs/verifiers/README.md)
 - [Prompt templates](prompts/README.md)
 - [ChatGPT web operating prompt](prompts/chatgpt-web.md)
+- [Evaluation framework](docs/evaluations/README.md)
 - [Wiki home](wiki/Home.md)
 
 ## Everyday prompt
@@ -42,8 +47,8 @@ Load context first.
 Select the right loop.
 Fan out analysis to specialist roles.
 Create a plan before implementation.
-Ask for human approval before risky or broad changes.
-Implement approved work in small reversible steps.
+Review risk before broad changes.
+Implement work in small reversible steps.
 Verify before declaring completion.
 Return to the earliest failing phase when verification fails.
 Update docs and memory.
@@ -58,4 +63,4 @@ The goal is to make AI-assisted development visible, repeatable, auditable, and
 
 ## Current maturity target
 
-AI-OS is moving from methodology showcase to production-grade open framework. The next milestones are governance, full wiki, CI quality gates, security posture, release process, examples, and self-improvement automation.
+AI-OS targets Level 5 of its maturity model: reusable prompts, task-specific loops, verifier-driven completion, governance controls, and controlled continuous improvement.