triage

This paper presents a framework for predicting quantifiability from primary screens to prioritize dose-response profiling in drug discovery, showing that usability of potency estimates can be distinguished from biological activity.

HookLens is a developer tool for real-time webhook triage and AI-powered root-cause analysis, aiding in issue diagnosis.

A simulation study on GPT-4o-mini finds that distributing triage decisions across a multi-agent pipeline with an audit stage does not reduce biased outcomes, but audit capacity significantly affects whether bias is caught. Reordering audits by estimated risk recovers most lost coverage under load.

This paper introduces Guideline-as-Oracle (GAO), a method for zero-annotation training of a multi-turn ophthalmic telephone triage agent by compiling American Academy of Ophthalmology guidance into a 70-row rule table used to generate 3,000 training dialogues. Fine-tuning a 9B model on this corpus improves agreement with an operational reference from 61.7% to 74.1% and emergent-case recall from 9.5% to 69.0%, beating several general-purpose systems without needing a frontier model at inference.

This Perspective paper argues that large language models are not yet safe for autonomous clinical decision support, particularly in triage of undifferentiated patients, due to lack of robust evaluation under incomplete information and asymmetric costs of missed diagnoses.

A developer built a Go-based AI agent that uses read-only tools to triage false positives from SAST scanners, testing it against OWASP BenchmarkJava with Claude Sonnet, DeepSeek-V4-Pro, and Kimi k3, achieving strong results especially with Kimi k3.

ChikitAI is an agentic AI product designed for healthcare triage and care automation, aiming to streamline patient intake and clinical workflows.

This paper analyzes 2,053 real patient-chatbot conversations to show that communication styles vary widely and can significantly alter triage outcomes, finding that patient simulators that model emotional state and conversational strategy produce conversations nearly indistinguishable from real ones in a Turing test.

Google is testing a new dedicated inbox section inside the Gemini app for Workspace users, featuring filters to triage emails and tasks in an Inbox Zero workflow, positioning Gemini as a consolidated desktop workspace.

Filippo Valsorda argues that LLMs have made vulnerability reports no longer special, as AI can now generate insights that were once exclusive to human researchers, shifting the bottleneck from discovery to triage.

The article explores the challenge of per-prompt model routing in AI agents, questioning whether anyone has effectively solved it. It points out that current practices rely on gut feeling, flat-rate plans reduce pressure to optimize, and a triage layer may introduce its own costs.

Warp CEO Zach Lloyd proposed a two-loop method for an AI Agent's Skill to self-evolve from user feedback, using GitHub issue auto-triage as an example. The inner loop processes new issues, while the outer loop collects signals and distills rules. The framework oz-for-oss has been open-sourced.

A demo of a self-serve security report triage agent built with Claude Code, which reads emails, accesses source code in a sandbox, and emails a suggested response to the user.

This paper presents the FETCH classifier, which uses an ensemble of LLMs to generate follow-up questions for automated legal intake, evaluating question quality and cost trade-offs. It finds that high-cost models like GPT-5 are needed for effective plain-language questions, and proposes a rubric for evaluating such questions.

A tweet observing that much AI cognition will be adequate for tasks, with remaining work involving diagnostic triage such as deciding whether to spend on a lawyer.

SOC analysts bypassed policy by using external AI tools for triage, exposing internal data; now seeking sanctioned alternatives without the data handling risk.

Introduces TRIAGE, a framework for evaluating LLMs' prospective metacognitive control under token budgets, finding substantial gaps in their ability to allocate compute efficiently across problems.

This paper proposes a lightweight, signal-based framework for efficiently triaging agentic interaction trajectories by computing low-cost indicators that identify informative samples without impacting online agent behavior, achieving an 82% informativeness rate on benchmarks.