Sales, Marketing & SupportDone with custom-built or unnamed agent
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.
- 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.
- 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.
- 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.
Try it yourself with custom-built or unnamed agent
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].