Research your competitors with a self-directed agent
A developer had a custom agent scan public discussions and review pages, then turn the findings into a cited competitor brief and outreach plan.
- What they did
- The developer gave Daemora a single assignment: map the 2026 personal AI agent market, pull real complaints from Reddit, Hacker News, and Twitter, identify likely buyers, and draft outreach copy plus a go-to-market plan. They did not add extra instructions, and the agent used search, page loading, browser, and file-writing tools on its own.
- How it went
- It returned a cited 3,000-word report with competitor weaknesses, five personas, 40 named prospects with tailored pitches, and an outbound playbook. It also surfaced a competitor CVE without being asked. The developer says the output included a 34% complaint figure, but the post does not verify that claim, and the run time, cost, and model were not shared.
- Tips
- Treat the citations as a starting point, not proof; check the original sources before acting. If you use this approach, ask the agent to pause before contacting anyone or publishing anything based on its findings.
Try it yourself with Manus
Research the market for [my product, one-line description] and its main competitors. Use public sources like forums, review sites, company pages, and news to compare them on target users, pricing, strengths, weaknesses, and repeated complaints. Cross-check claims across sources, cite every important point, and write a report of about [length] words. Then create a short outbound plan for reaching [my target customer], but stop and ask for my approval before sending any messages, making purchases, deleting anything, or submitting anything externally.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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