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.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
An engineer's walkthrough to build a Claude agent that abstracts source-attributed clinical data: schema, parsing, tool calls, quote verification, and evals.
The end-to-end architecture for making Claude reason like a clinical abstractor: retrieval, evidence linking, model tiering, validation, and human review.
Comparing Ruby Receptionists with AI-powered alternatives — cost, capabilities, and when AI outperforms human call centers.
How plumbing companies deploy CallSphere as a 24/7 AI answering service — emergency triage, technician dispatch, quotes, and appointment booking.
The best AI phone agent options under $500/month for small businesses — features, limitations, and when to upgrade.
A practical guide to evaluating AI receptionist free trials — the 12 tests to run before committing to a vendor.
Real estate agents use CallSphere AI receptionists to respond to buyer inquiries in under a second, book showings, and qualify leads 24/7.
The 15 KPIs that matter for AI voice agent operations — from answer rate and FCR to cost per successful resolution.
Deep dive into the real-time STT → LLM → TTS pipeline that powers modern AI voice agents — latency, streaming, and error recovery.
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