Context switching slows developers as they jump between tools for answers. A research agent fixes this by searching, summarizing, and posting cited results directly in Slack or Linear, keeping work in one place.

Competitive intelligence often relies on outdated, scattered data. An AI agent streamlines this by combining live web signals with CRM context to generate up-to-date, sourced briefings—turning fragmented research into a single, actionable snapshot on demand.

Sales teams often miss real-time signals because CRMs focus on past data. A Sales Assistant bridges this gap by combining CRM context with live web insights, delivering timely briefings and personalized outreach without manual research or context switching.

AI-powered SEO agents transform research by combining language models with live SERP data. They automate keyword discovery, competitor analysis, rank tracking, and trend monitoring, producing concise, cited reports that save time and keep SEO strategies up-to-date.

AI travel agents streamline trip planning by combining language models with vertical search APIs. They validate IATA codes, gather flights, hotels, and local options, then synthesize concise, cited itineraries—saving time while ensuring accurate, auditable, and actionable travel recommendations.

AI research agents combine language models with live web search to produce current, verifiable insights. They plan queries, fetch results concurrently via SerpApi, and synthesize cited answers—enabling fast, auditable research for market scans, literature reviews, and technical surveys.