Dedicated stack pages with install commands, fit guidance, and deployment patterns.
AI Agents Guide
Choose the right agent stack before you build.
DaniMaster is building a clearer AI section for clients who need practical direction, not vague hype. This overview splits the stack into four routes: OpenAI and Codex, Google AI products, Anthropic and Claude Code, and a custom in-house agent system for private production work.
Use the vendor page that matches your preferred ecosystem and move straight into implementation.
Each page is focused on production choices: tools, agent roles, memory, security, and launch readiness.
The four pages in this AI section
OpenAI and Codex
Best for API-first agent orchestration, Codex workflows, MCP docs access, and production SDK usage.
Google AI products
Best for Gemini API adoption, GenAI SDK usage, multimodal workflows, and Google ecosystem alignment.
Anthropic and Claude Code
Best for coding-heavy agent workflows, Claude Code, plugins, MCP extensions, and review-focused teams.
Build your own agent stack
Best for private, branded, multi-model agent systems with your own memory, tool routing, and admin controls.
Quick comparison
| Stack | Best fit | Strongest use case | When DaniMaster recommends it |
|---|---|---|---|
| OpenAI and Codex | API-first teams and coding agents | Agent SDK, structured tools, coding workflows | When you want fast prototyping plus a clean route into production orchestration |
| Google AI products | Gemini adopters and Google-heavy stacks | Gemini API, GenAI SDK, multimodal content workflows | When the business already leans into Google Cloud, Workspace, or Gemini models |
| Anthropic and Claude Code | Developer teams who want strong code reasoning | Plugin-based coding, review, UI, and MCP workflows | When you want a coding copilot with agent teams, security review, and plugin extensions |
| Custom agent stack | Businesses that need control and branded workflow ownership | Private memory, approval gates, admin routing, multi-model orchestration | When you are turning AI into an internal platform or client-facing product |
Recommended first bundle for a serious AI proof of concept
- Brainstorm and spec writer
- Implementation planner
- Frontend design
- Security review
- Memory and context manager
- Stack generator
- CEO review and executive summary
Spec
Plan
Build
Review
Memory
Launch
How we use this section
These pages are not generic tutorials. They are decision pages for businesses and internal teams. Use them to decide which ecosystem to standardize on, which tools to install first, and which capabilities should stay custom to your product.
If you already know your direction, jump directly into the detailed vendor page and use the install commands there as the first implementation step.
Next move
If your goal is to build a real agent platform for sales, content, coding, review, or operations, DaniMaster can help turn the vendor stack into a production workflow with private memory, approval gates, admin controls, and measurable business outcomes.