Revise README for clarity and project focus

[xerial]

Updated project description and clarified the purpose of 'wvlet/scala-ai'. Removed optional dependencies for AI service integrations.

Description

Related Issue/Task

Checklist

• This pull request focuses on a single task.
• The change does not contain security credentials

[gemini-code-assist]

Summary of Changes

Hello @xerial, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refines the project's public identity and simplifies its dependency examples. The primary goal is to provide a clearer and more focused description of the wvlet/scala-ai project, emphasizing its core utility libraries and clarifying the 'ai' nomenclature, while also tidying up the suggested dependencies.

Highlights

• README Clarity: The project's README.md has been significantly revised to improve clarity and redefine the project's focus. The main title was updated, and the meaning of 'ai' in 'wvlet/scala-ai' was clarified to refer to '藍 (indigo)', a traditional Japanese color, rather than 'AI-Driven Coding & Agentic Systems'.
• Dependency Simplification: Optional AI service integration dependencies, specifically ai-agent-bedrock and ai-agent-vertexai, have been removed from the example libraryDependencies section in the README.md, streamlining the initial setup guidance.

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[gemini-code-assist]

Code Review

This pull request updates the README to revise the project's description and focus. The changes are good, but I have a few suggestions to further improve clarity for new users. I've recommended making the title and main description more explicit about the project's AI focus, and adding a note about optional dependencies for AI service integrations in the 'Getting Started' section. These changes should help users better understand the project's purpose and how to use it.

[gemini-code-assist]

The new title is concise and artistic, but it's less descriptive than the previous one. For better discoverability and to help new users quickly understand the project's purpose, consider adding a short descriptor that clarifies its role as an AI toolkit for Scala.

Suggested change

	# wvlet.ai (藍)
	# wvlet.ai (藍): A Lightweight AI Toolkit for Scala 3

[gemini-code-assist]

The updated description removes any mention of 'AI', which could be confusing for newcomers since the project is heavily focused on AI and LLMs. To improve clarity, I suggest reintroducing the AI context into the main description.

Suggested change

	`wvlet/scala-ai` is a collection of lightweight utility libraries for empowering Scala 3. Here, **ai** stands for **藍 (indigo)** —
	a traditional Japanese color symbolizing clarity, depth, and refinement.
	`wvlet/scala-ai` is a collection of lightweight utility libraries for building AI applications in Scala 3. Here, **ai** stands for **藍 (indigo)** —
	a traditional Japanese color symbolizing clarity, depth, and refinement.

[gemini-code-assist]

Removing the optional dependencies simplifies the 'Getting Started' section, which is great. However, new users might not realize they need to add specific modules for different AI services (like Bedrock). Adding a comment to guide them would be very helpful.

Suggested change

	"org.wvlet.ai" %% "ai-agent" % scalaAIVersion
	"org.wvlet.ai" %% "ai-agent" % scalaAIVersion
	// For specific AI service integrations, add corresponding modules (e.g., "ai-agent-bedrock").