Browse the Web with Agents
Enable instructional teams to deploy autonomous web‑browsing agents for research, content gathering and classroom support.
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
Teachers and educational content‑teams often spend many hours manually browsing the web for current articles, research papers, statistics, and examples to support lessons. This repetitive research detracts from their core focus—teaching and engaging students. There is a need for scalable workflows that keep content up to date, cover multiple topics in parallel, and reduce manual workload.
Solution
This agent solution orchestrates a small team of AI agents: a manager agent plus worker agents that browse, extract and summarise web‑based content tailored to educational needs. The workflow automates content retrieval, tagging, summarisation and delivery to the teacher/pedagogical team. Administrators can configure topics and let the agents run in parallel, producing structured resource bundles on schedule or on demand.
Result
Users can expect significant time savings in content‑research (‑30 %+), faster resource delivery, improved curriculum‑relevance of materials, and better teacher focus on instruction rather than content‑scanning.
Use Cases
The “Browse the Web with Agents” solution empowers educational organisations—schools, tutoring centres, online‑learning platforms—to leverage autonomous web‑browsing AI workflows. A manager agent coordinates a group of worker agents which perform specific tasks: worker agents may browse predefined websites, extract up‑to‑date curriculum‑relevant content (articles, research papers, statistics), summarise findings, tag them by topic, and feed them back to the manager agent. The manager then compiles structured learning‑resource bundles, flags outdated or low‑quality sources, and delivers polished summaries to teachers or content‑managers for deployment in lesson‑plans or student materials.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Discovery Sprint
1 weekTopic‑mapping and workflow design
Technical Setup
1 weekAgent configuration and infrastructure
Pilot Launch
2 weeksLive run of agents with teacher review
Go‑Live & Training
1.5 weeksFull rollout and staff training
Optimisation Cycle
1 hour/monthMonthly review
Reference Sources
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