Debugging Claude Clinical Abstraction Agents That Fail
Fix the loops, wrong tool calls, and hallucinated arguments that break Claude clinical-abstraction agents — with concrete 2026 debugging tactics.
9 min read
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Context Design for Claude Clinical Abstraction Agents
Context engineering for Claude clinical abstraction: what to include, what to leave out, how to shape it for attribution, and why bigger windows don't change the rule.
7 min read
Wiring MCP Servers Into a Claude Abstraction Agent
Connect Claude's clinical abstraction agent to real systems via MCP: scoped auth, strict schemas, actionable errors, and idempotent writes that survive retries.
7 min read
Claude Prompt Patterns for Clinical Abstraction Agents
Reusable Claude patterns for clinical abstraction agents: role-rules prompts, evidence-first schemas, Skills as rulebooks, focused tools, and context budgeting.
7 min read
Build a Claude Clinical Abstractor: Step-by-Step Guide
An engineer's walkthrough to build a Claude agent that abstracts source-attributed clinical data: schema, parsing, tool calls, quote verification, and evals.
7 min read
Claude as a Clinical Abstractor: The Agent Architecture
The end-to-end architecture for making Claude reason like a clinical abstractor: retrieval, evidence linking, model tiering, validation, and human review.
7 min read
AI Voice Agent vs Traditional Call Center: 2026 Cost & Capability Comparison
Detailed cost and capability comparison between AI voice agents and traditional call centers — per-call economics, scale, and hybrid models.
14 min read
Hotel Abandoned Booking Recovery: AI Outbound Calls That Close
Hotels lose 70% of web booking flow to abandonment. AI outbound calls to abandoners recover 12–18% of lost bookings at minimal cost.
6 min read
RAG for Hotels: Letting AI Voice Agents Answer Policy Questions Accurately
Hotel policies are complex — cancellation, pets, parking, amenities. RAG (retrieval-augmented generation) lets AI voice agents cite policies accurately without hallucinating.
6 min read
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