MCP, ACP, A2A, UCP: a field guide to agentic communication protocols.
Four protocols, four philosophies, one shared destination — interoperable, multi-vendor agent ecosystems. We compare what each was designed to solve, what they share, where they diverge, and why Gen4Travel chose to build on MCP and ACP rather than reinvent the wheel.
From chatbots to frontier agents: what really changed.
Frontier agents are not bigger chatbots. They are systems that plan, act, observe, adapt — across hours, across tools, across other agents. We unpack the engineering shift, the new failure modes, and what a production-grade frontier agent looks like inside Gen4Travel.
Choosing your agentic framework: LangGraph, AutoGen, CrewAI, Semantic Kernel and the rest.
The agentic framework market matured fast. Each tool reflects a different bet about how multi-agent systems should be built — graph-based, conversation-based, role-based, code-first. We map the landscape, the tradeoffs, and where each fits inside a sovereign-AI architecture.
The European digital rulebook for agentic AI: AI Act, Data Act, DGA, eIDAS 2.0.
Five interlocking regulations now define what European agentic AI must look like. We map the obligations that concern Gen4Travel directly, the dates that matter, and how the consortium's design choices translate compliance into competitive advantage rather than friction.
France 2030 and the European AI doctrine: a sovereignty playbook.
From the Paris AI Action Summit to France 2030, from the EU AI Continent plan to the AI Champions initiative — Europe's strategic posture on agentic AI sharpened dramatically in 2024–2025. We chart what changed, what's funded, and how Gen4Travel sits inside the picture.