Use case
AI research and monitoring agents
Staying on top of competitors, news, or a market is constant work. A research agent gathers and summarizes what is new on a schedule, so the client gets signal without the searching.
Can an AI agent do ongoing research?
Yes. A research agent can track sources on a schedule, summarize what is new, and surface what matters. Qoren runs it as an always-on agent so the research keeps coming without manual effort.
The problem
Useful research is ongoing, not one-off. Manually checking sources, reading, and summarizing is time-consuming and gets dropped when things get busy.
How an agent handles it
- Track the sources and topics you set.
- Check them on a schedule.
- Summarize what is new and relevant.
- Deliver it to an inbox, chat, or doc.
Why it sells
- Continuous monitoring without the manual searching.
- Summaries instead of raw links.
- A recurring service that compounds in value.
Templates to deploy for this
Start from a ready-made agent and tailor it to the client. Each one runs on a managed environment, online on schedules and triggers.
Competitor Watchdog
Watches competitor sites, pricing, changelogs, and job boards — you hear about it only when something changes
Outreach Researcher
A reviewed queue of researched prospects and personalized openers ready every morning — you approve, you send
Research Analyst
Deep research on demand. Ask a question, get back a sourced, structured brief: the landscape, the key players, the trade-offs, and a clear recommendation, with every claim traced to where it came from.
Frequently asked questions
Topics and sources you define for the client, summarized on a schedule.
Related use cases
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