2026 feels like a convergence year: capability keeps rising, but the differentiator becomes how we ship and govern AI systems in the real world—across industries, not just one domain.
In Europe we’re seeing stronger momentum around governance and “digital sovereignty” thinking (portability, vendor concentration risk, auditability).
At the same time, product teams are being forced to treat evaluation, monitoring, and safety as engineering fundamentals—same tier as latency and cost.
I’m curious where builders here stand:
What will define 2026 the most: regulation/governance, agents, multimodal, on-device, robotics, enterprise adoption, or something else?
What governance practices are you already implementing as “production default” (eval harnesses, red-teaming, logging/traceability, model risk management, incident response)?
Platform strategy: are you planning for portability (open standards, multi-provider, exit plans), or betting on one ecosystem?
OS/workflow: are you building on Windows, Linux, or both—and why? (Dev experience, GPU stack, CI/CD, security, cost)
What’s your current best practice for making behavior “repeatable enough” (templates, seeds, caching, deterministic tool calls, regression tests)?
Prefer concrete examples over theory.
Thank You for all from Community and GPT builders 
