Evaluating Web-Augmented Agent Performance on Time-Sensitive Tasks
Current benchmarks hide whether failures stem from reasoning, planning, or outdated web content.
Devin Matsukawa
Section
Web Retrieval
9 stories in Web Retrieval.
Prompt Injection Risks From Web-Retrieved Content in AI Agents
Web-scraped content gives attackers an untrusted channel directly into AI agents' reasoning loops.
Priya Subramaniam
Rate Limiting and Cost Management for Agent Web Search at Scale
One query fans out into dozens of API calls, turning cost control into a core engineering challenge.
Devin Matsukawa
Query Decomposition and Sub-Query Planning for Multi-Step Web Research
Breaking complex questions into ordered sub-queries before retrieval.
Priya Subramaniam
Memory and Retrieval Architecture in Long-Running AI Agents
Persistent memory architecture separates production AI agents from demos that fail in the field.
Marcus Oyelaran
Web Source Attribution and Citation in LLM Agent Outputs
Source attribution in AI agents must be built into retrieval pipelines, not added after generation.
Marcus Oyelaran
Multi-Agent Architectures That Share a Web Retrieval Layer
A shared retrieval layer sets the performance ceiling for every agent depending on it.
Devin Matsukawa
Tool-Calling Design for Web Search in LLM Agents
Designing web search tool calls to work reliably in production.
Priya Subramaniam
Agentic Retrieval Loops and When Agents Should Re-Query the Web
Knowing when to re-query separates agents that self-correct from those that ship hallucinations.
Priya Subramaniam