POPA Recon2026 AI Landscape: The Stack Behind Every AI Product
2026 AI Landscape: The Stack Behind Every AI Product The model is only the first layer. An AI product in 2026 runs on a full stack: an LLM, an agent framework to plan and act, a data layer for RAG and memory, MCP to connect to real tools, automation to run workflows, and security and monitoring to keep it all safe in production. The model layer is no longer US-only: open-weight DeepSeek and Qwen now sit next to GPT, Claude and Gemini. And MCP has become the standard way to plug agents into tools like GitHub, Slack and Google Drive, with OpenAI, Google and Microsoft all supporting it. We pic…
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