From the team behind GIDS, an engineering-first AI conference for people running AI systems in production — context engineering, agent architectures, evals, observability, governance and the unglamorous reliability work. The programme is deliberately built on production case studies and architecture reviews rather than vision keynotes, so it is a good use of two days for a technical founder or the person who owns your inference bill. The audience skews senior engineer and architect rather than investor, which is exactly why the technical content holds up.

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