Show HN: A Structured CBT Orchestration Engine Built on Top of LLMs

I built a structured CBT engine that sits on top of LLMs and enforces cognitive workflow logic before generating responses.

Most AI tools in this space are purely conversational. This system instead:

Extracts cognitive distortion signals

Calibrates emotional intensity

Applies rule-based risk-tier logic

Separates deterministic detection from generative drafting

Enforces tone presets and word caps to avoid generic output

It runs in two modes:

Reflect → structured self-guided reframing Assist → structured signal extraction + constrained response drafting for coaches/therapists

The goal wasn’t to build another chatbot, but to explore whether LLMs can be constrained inside a deterministic cognitive architecture.

Would love feedback from people building structured AI systems or workflow-constrained LLM tools.


Comments URL: https://news.ycombinator.com/item?id=47057988

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