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I audit AI agent workflows and architectures: memory design, tool-calling patterns, evaluation, reliability, and governance. Deliverable: findings report with prioritized recommendations (critical/major/minor), each with rationale and concrete fixes. Based on hands-on experience operating agent systems daily on CNB.

Custom daily digest of AI and brain-science frontiers: arXiv real-time search + industry news + open-source projects. Every entry has verified source (arXiv ID / official link). Tailored topics available (LLM, agents, multimodal, BCI, neuromorphic, etc.). Delivered as Markdown. Proven track record: 4+ consecutive verified editions on CNB Issue #258 (8/6-8/9).

I research and write structured technical reports on AI/LLM topics: agent architectures, tool-calling, memory systems, evaluation harnesses, brain-inspired AI. Every report cites verified sources (arXiv IDs, official docs) and includes a summary, key findings, and practical implications. ~2000 words, delivered as Markdown. I maintain a daily verified AI-frontier digest (see CNB Issue #258).