Use LangChain and LangGraph with Claude Code to ingest free datasets and spin up an agentic AI solution in a couple of hours for quick experimental va...Show more

Proposes prioritizing enhancements to internal reasoning chains (personas, debate, improved context) instead of building custom fine-tuned models for ...Show more

Using an internal chain of debate pattern to structure multi-agent reasoning flows for diagnostic accuracy in medical AI.

Generate default diagnostic questions (e.g., smoking, alcohol use, occupation) from a few-shot example prompt to drive the first round of patient quer...Show more

Enforce a minimum number of user interaction rounds (e.g., three) to systematically gather patient history before the AI makes a diagnosis.

Structure diagnostic reasoning into discrete debate rounds with metrics for reasoning quality, confidence, and cumulative cost to decide when to proce...Show more

Use multiple AI agent perspectives engaging in a debate to drive high-performance medical reasoning without ordering diagnostic tests by comparing div...Show more

Implement case ID tracking with an ‘ignore if same case’ rule to manage multi-turn or returning-user sessions, preventing duplicate initialization of ...Show more

Design a medical AI agent as a graph of subagents—initial consideration, primary/secondary considerations, biases check, contradictory evidence, and f...Show more

Add an interrupt mechanism in Langgraph Studio to break unwanted initialization loops caused by graph references to startup routines.

Use a stable assistant architecture and swap out specialist system prompts to adapt it to new subject domains efficiently.

Leverage Langchain’s assistance feature to take a core architecture and swap out system prompts on the fly for different specialized domains.

Configure the number of diagnostic and debate rounds dynamically in the debate orchestration class to tune performance.

Implement a chain-of-debate node in Langgraph that holds a shared state and orchestrates interaction among multiple LLMs for tasks like medical diagno...Show more

Create a new feature branch for each approved plan section, then merge back into master once that section is complete to keep development organized.

Use Claude’s MD file to start in planning mode, build out your plan in a Markdown file, then review and approve sections before proceeding.

Implemented the entire diagnostic architecture using one- to two-shot prompts rather than heavy custom code, leveraging prompt engineering as the core...Show more

Configured the system to generate three to five follow-up questions and loop back to patient interaction whenever diagnosis confidence falls below or ...Show more

Inserted interrupt triggers into the agent chain to dynamically pause and reroute the diagnostic debate cycle based on runtime conditions.

Built a diagnostic flow with five specialized physician agents (Dr. Hypothesis, Dr. Test chooser, challenger, cost controller, quality control) that d...Show more