---
title: "Agent researches its own competitors"
canonical: "https://agenticfeats.com/c/agent-researches-its-own-competitors-custom-agent/"
agents: ["Custom agent"]
evidence_grade: "B"
outcome: "completed"
job_type: "Research"
roles: ["Founder or owner", "Marketing"]
source_url: "https://dev.to/dream_twister_4d65a3a36a4/i-asked-my-ai-agent-to-research-its-own-competitors-heres-what-it-found-4epd"
source_date: "2026-05-13"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Agent researches its own competitors

Daemora, a self-hosted agent, searched Reddit, HN, Twitter and review sites unprompted and wrote a competitor analysis and go-to-market plan from one task.

Result: It wrote a 3,000 word document with competitor pain points, 40 named target users, and an outbound playbook.

## How it was set up

Daemora, the author's own self-hosted agent, using its webSearch, webFetch, browserAction, writeFile and createDocument tools.

## Worth knowing

The author built the agent and is promoting it; the competitor claims and the 40 targets are not independently checked.

## Prompt

```text
You are [agent name]. Research the [market] landscape in [year]. Find the top competitors and analyse their pain points using real user complaints from Reddit, HN and Twitter. Identify target customers, write outreach scripts, and build a complete go-to-market strategy with cited sources.
```

## Evidence note

Author's own account with figures; no output document linked

## Sources

- Original: https://dev.to/dream_twister_4d65a3a36a4/i-asked-my-ai-agent-to-research-its-own-competitors-heres-what-it-found-4epd

## The receipt

- Agent: Custom agent
- Evidence: Numbers (grade B, a specific number stated)
- Outcome: Completed
- Job type: Research
- Roles: Founder or owner, Marketing
- Source: Blog
- Published: 2026-05-13
- Added: 2026-10-13