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Have an agent research its own competitors

A developer's custom agent searched forums and review sites, cross-referenced findings, and produced a cited 3,000-word competitor analysis with target users and an outbound playbook.

Time saved
Not reported
Setup time
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Running cost
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Cost range
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Use case overview

A developer's custom agent searched forums and review sites, cross-referenced findings, and produced a cited 3,000-word competitor analysis with target users and an outbound playbook.

Reported experience

  1. What they did

    The developer gave his self-hosted agent, Daemora, one prompt: research the 2026 personal AI agent landscape, mine real user complaints on Reddit, HN and Twitter, identify target customers, write outreach scripts and build a go-to-market plan. He gave no other guidance. The agent used web search, web fetch, browser and file-writing tools on its own, and he says he didn't intervene.

  2. How it went

    It produced a cited 3,000-word document with competitor pain points, five personas, 40 named targets with pitches, and an outbound playbook. It also found a competitor CVE unprompted. The developer reports these results himself, and the post doesn't independently verify them.

  3. Worth knowing

    The post gives no run time, cost or model details, and the findings, including the 34% complaint figure, are unverified, so check the cited sources yourself.

Example prompts

Try with Manus
Research the competitors of [my product, one-line description] by searching forums, review sites, and company pages. Cross-reference what you find and write a cited report of about [length] words covering who they target, their pricing, common customer complaints, and gaps I could exploit. End with a suggested outbound playbook for reaching [my target customer].