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Thoughts on building AI systems

Neuroevolution will thrive when the bubble pop

A case for neuroevolution after the generative-AI hype cycle. Why evolved structure, open-ended search, and hybrid learning systems may outlast the current benchmark chase—and where they are most likely to win.

Lessons Learned from Building Agents

Practical insights from developing AgenticSeek and production agent systems at CNRS. Covering provider resilience, caching strategies, failure modes, and the reality of current MCP ecosystems. A pragmatic guide for engineers building in the agent space.

Topics

AI Agents LLM Systems Engineering MLOps Local AI Research