Deep Research Agent
Enable educators to deploy autonomous web‑research agents that dig, extract and summarise educational content across topics.
Trusted by
Built on proven multi‑agent orchestration and web‑automation workflows. Designed for education operations teams with configurable topics and workflows.
Success Story
Education Perfect conducted a trial with ~19,500 students and ~210,000 responses: AI‑feedback loops drove a 47 % average improvement in student response quality and 87 % engagement in re‑submissions.
Integrates with
Problem
Educational content‑teams and teachers often spend many hours manually searching the web for relevant articles, research papers and up‑to‑date examples to support lessons. This repetitive research eats into teaching time, results in outdated materials and limits scope for multiple themes concurrently.
Solution
Deep Research Agent automates the web‑research lifecycle: a manager agent plus worker agents generate search queries, visit sources, extract and summarise findings, tag content, and deliver ready‑to‑use resource bundles. Administrators define topics and let the agents run in parallel, reducing manual workload and accelerating content delivery.
Result
Teachers and content‑teams can expect up to ~30 % reduction in research/preparation time, faster delivery of lesson‑resources, improved topical relevance, and deeper parallel coverage of multiple subjects.
Use Cases
The Deep Research Agent empowers educational organisations—schools, tutoring centres, online learning platforms—to leverage autonomous web research workflows. A manager‑agent coordinates multiple worker‑agents which dynamically generate search terms, browse targeted websites, extract curriculum‑relevant content (articles, research papers, statistics), summarise findings, tag them by topic and quality, and deliver organised resource‑packs ready for teacher use.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Discovery & topic‑mapping
1 weekdefine domains, resource types, workflows
Infrastructure & agent setup
1 weekconfigure manager/worker agents, integrations
Pilot run
2 weeksrun with 3‑5 topics, gather sample output, teacher review
Training & configuration
1 weektrain staff, refine tagging/summaries
Full deployment
0.5 weekactivate all topics, dashboard go‑live
Monitoring & optimisation
0.5 weekreview performance, adjust workflows
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