Deep dives into expert systems, AI architecture, and our humanist approach to building technology that facilitates human judgment.
Most AI automation platforms use rigid step-by-step workflows that break down when generating complex documents. Here's why professional services need systems that can orchestrate themselves based on fact patterns, not predefined sequences.
Read moreLarge Language Models excel at text generation, but they fundamentally cannot do planning or self-verification. Here's why the future belongs to hybrid neuro-symbolic systems that combine the best of both worlds.
Read moreEmbedding expertise engines directly into data engineering pipelines creates systems that generate recurrent progressive insights, incorporating multiple data sources into higher-level understanding that evolves over time.
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