triage

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.