AI & Agents 97
- AI & Agents — Reading Order
- Visa Trusted Agent Protocol
- Agent Payments Protocol (AP2)
- Universal Commerce Protocol (UCP)
- Agentic Commerce Protocol (ACP)
- OASF and Agent Connect Protocol (AGNTCY)
- AG-UI (Agent-User Interaction Protocol)
- Agent Network Protocol (ANP)
- Agent Communication Protocol (ACP)
- Agent-to-Agent (A2A) Protocol
- Agentic Protocol Landscape
- Model Context Protocol (MCP)
- MCP Gateway — Detailed Specification
- MCP Gateway — Requirements Summary
- llm-d
- Kaito (Kubernetes AI Toolchain Operator)
- KAgent (Kubernetes Agent)
- Portkey MCP Gateway
- Cloudflare MCP Server Portals
- Kong MCP Gateway
- Kong A2A Agent Gateway
- Agentgateway (Solo.io / Linux Foundation)
- Apache APISIX AI Gateway
- Envoy AI Gateway
- Helicone AI Gateway
- Cloudflare AI Gateway
- LiteLLM
- Portkey AI Gateway
- Kong AI Gateway
- AI DevSecOps and Incident Response
- GCP AI Observability Stack
- Evals and Guardrails in Production
- AI Tracing and OpenTelemetry
- Claude API & Agent SDK
- AgentOps -- The Discipline
- AI Observability and Monitoring
- OpenAI Agents SDK
- Dapr (Distributed Application Runtime)
- Claude Cowork
- Ollama
- Async Agent Workflows
- Claude Code
- vLLM
- Model Monitoring
- Claude Models and Ecosystem
- Harness Engineering
- Model Deployment
- CX Agent Studio
- Model Development
- Agent Orchestration & Handoffs
- Data Processing
- AI Studio and Workspace Integration
- ML Problem Framing
- Google Agent Development Kit (ADK)
- Vertex AI
- Business Goal Identification in the ML Lifecycle
- The ML Lifecycle
- Gemini CLI
- Agent Memory & State
- Gemini Models and Overview
- Cost Control & Optimization
- OpenCode and Crush
- Aleph Alpha and Luminous
- Evals & Guardrails
- Mistral Models and Platform
- LangChain & LangGraph
- HuggingFace Platform and Hub
- Microsoft AutoGen
- OpenAI for Enterprise
- CrewAI
- ChatGPT and Consumer Products
- OpenAI API and Agents SDK
- OpenAI Models and Strategic Overview
- Azure AI Foundry
- Copilot Studio
- Microsoft 365 Copilot
- Azure OpenAI Service
- GitHub Copilot CLI
- GitHub Copilot
- Enterprise AI Governance Playbook
- Responsible AI Principles
- Governance Frameworks -- ISO 42001 and NIST AI RMF
- AI Documentation -- Model Cards and Impact Assessments
- Transparency and Disclosure
- AI Risk Classification
- EU AI Act
- LLM Architecture & Training
- LLM Evaluation
- Fine-tuning vs RAG vs Prompting
- Vector Databases
- RAG (Retrieval-Augmented Generation) Architecture
- Deep Learning Architectures
- Controlling Randomness — Temperature, Top-k, Top-p
- Evaluation Metrics
- Top 20 ML Algorithms
- Machine Learning Models & Learning Paradigms
- AI Hierarchy